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Vmake accentue les détails de vos vidéos, améliore leur netteté et leur donne un",{"url":380,"text":367},{"url":386,"text":340},"https:\u002F\u002Ftwitter.com\u002FAixploria",{"url":388,"text":340},"https:\u002F\u002Fwww.youtube.com\u002F@aixploria-off?sub_confirmation=1",{"url":390,"text":340},"https:\u002F\u002Fwww.tiktok.com\u002F@aixploria",{"url":392,"text":393},"https:\u002F\u002Fcookiedatabase.org\u002Ftcf\u002Fpurposes\u002F","En savoir plus sur ces finalités",{"url":392,"text":393},[],[397,398,399,400,401,402,403,404,405,406],{"url":346,"text":340},{"url":348,"text":349},{"url":351,"text":352},{"url":354,"text":355},{"url":357,"text":358},{"url":360,"text":317},{"url":362,"text":363},{"url":362,"text":365},{"url":362,"text":367},{"url":369,"text":370},"Google MedASR : Avis, Prix, Info & 22 IA Alternatives | 2026 | AIxploria \nTop 10 Catégories IA Tutoriels IA + Plus Nouveaux Outils IA Outils IA Gratuits Actualités IA 2026 Bonus & Extras Soumettre une IA \nEnglish Français Español Deutsch Italiano Português + More × 中文 日本語 العربية हिन्दी Русский 한국어 Türkçe Tiếng Việt فارسی বাংলা Indonesia ไทย Nederlands Polski اردو Kiswahili Українська Ελληνικά עברית Svenska Norsk Dansk Suomi Čeština Magyar Melayu Tagalog 中文 (香港) தமிழ் \nS'inscrire \nTop 10 Catégories IA Tutoriels IA + Plus Nouveaux Outils IA Outils IA Gratuits Actualités IA 2026 Bonus & Extras Soumettre une IA \nS'inscrire \nAccueil IA Récentes Google MedASR \nGoogle MedASR\n#13 dans Soins de santé \n4.6\u002F5 \nVisiter ce site \n« Transcrivez facilement des dictées médicales et des échanges entre médecins et patients. Le système s’appuie sur un modèle de reconnaissance vocale de 105 millions de paramètres, entraîné sur 5 000 heures de données médicales, couvrant la radiologie et la médecine interne\n»\nEn savoir plus : \nChatGPT \nPerplexity \nOutil Vérifié \nGratuit \n2573 \nLiens utiles \nSite Officiel \nHugging Face \nGitHub \nAccès Rapide \n#IA Récentes \n#Projets Github \n#Soins de santé \n52 ★ Outils IA de Prestige ★ \n★ Mis en avant \nEmergent AI \n« Transformez vos idées en applications complètes grâce à des agents IA qui codent, testent et déploient pour vous. Créez sites web (full-stack), apps IA, jeux et outils automatisés simplement en décrivant votre projet »\nVisiter \n★ Mis en avant \nClickUp \n« Gérez vos projets plus vite avec une plateforme qui regroupe équipes, tâches et documents en un seul espace. Son IA intégrée résume vos notes, rédige pour vous et organise automatiquement vos priorités »\nVisiter \n★ Mis en avant \nThumbnailCreator.com \n« Créez rapidement des miniatures accrocheuses pour vos vidéos sur YouTube, Twitch et Facebook. Attirez plus de vues et améliorez facilement le taux de clics sur vos clip vidéos »\nVisiter \n★ Mis en avant \nVmake Video Enhancer \n« Améliorez vos vidéos floues et de mauvaise qualité pour les transformer en HD et 4K grâce à l'IA. Vmake accentue les détails de vos vidéos, améliore leur netteté et leur donne un aspect plus professionnel en quelques secondes »\nVisiter \nIA Alternatives à \nGoogle MedASR \nPayant Claude Healthcare \n4.4\u002F5 \n« Une solution IA dédiée aux professionnels de la santé qui automatise les autorisations préalables, les examens des recours en matière d'assurance, la documentation clinique et la coordination des patients. L'assistant peut aussi se connecter aux bases de données CMS, ICD-10, NPI Registry et PubMed »\n1 Visiter Gratuit Sugar Free \n4.4\u002F5 \n« Un scanner intelligent capable de détecter le taux de sucre dans n'importe quel aliment. Il fournit également des recommandations personnalisées et aide à surmonter l'addiction au sucre »\n21 Visiter Gratuit Facial Assessment Tool \n4.1\u002F5 \n« Une IA qui analyse votre visage et vous donne des conseils cosmétiques pour vous embellir »\n10 Visiter Payant Be My Eyes \n4.6\u002F5 \n« Application gratuite liant les malvoyants à des volontaires afin d'obtenir une assistance visuelle en temps réel »\n30 Visiter Payant Friend AI \n4.5\u002F5 \n« Un compagnon IA pour vaincre la solitude qui peut interagir émotionnellement avec vous via un pendentif plutôt discret. Un concept inédit axé en priorité sur le bien-être »\n28 Visiter Freemium AweMyFace \n4\u002F5 \n« Un détecteur d'acné fiable qui vous aidera à obtenir une peau de bébé »\n4 Visiter Payant Medeloop FR \n4.5\u002F5 \n« Une suite d'outils IA dédiée à la recherche médicale qui automatise la rédaction de subventions, la gestion d'études cliniques, l'analyse de données et la publication de manuscrits scientifiques »\n33 Visiter Payant Quibim \n4.5\u002F5 \n« Analysez des millions d'images médicales avec une précision inégalée grâce à des biomarqueurs d'imagerie dotés d'IA. Amélioration du diagnostic et du suivi des patients dans plus de 170 établissements de santé »\n31 Visiter \n+ Voir plus d'IA \nCopier le code \nL'intelligence artificielle pour tous\nRessources Tutoriels, astuces et blog Agenda des conférences sur l'IA Glossaire des IA Emplois dans l'IA Newsletter Services pratiques Chaînes YouTube sur l'IA Top 100 IA Liste GPTs Outils IA Hubspot Meilleurs Agents IA Entreprise Ajouter un outil IA Annoncer Mettre à jour votre site Sponsorship ★ Media Kit Qui sommes-nous ? Contactez-nous \n© 2026 AIxploria. Tous droits réservés \nPolitique des Cookies \nConditions d'utilisations Mentions Légales Gérer le consentement aux cookies \nAfin de fournir une expérience optimale, Aixploria utilise des technologies telles que les cookies pour stocker et\u002Fou accéder aux informations relatives à l'appareil. 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En l’absence d’une assignation à comparaître, d’une conformité volontaire de la part de votre fournisseur d’accès à internet ou d’enregistrements supplémentaires provenant d’une tierce partie, les informations stockées ou extraites à cette seule fin ne peuvent généralement pas être utilisées pour vous identifier. \nMarketing \nMarketing \nLe stockage ou l’accès technique est nécessaire pour créer des profils d’internautes afin d’envoyer des publicités, ou pour suivre l’internaute sur un site web ou sur plusieurs sites web ayant des finalités marketing similaires. \nGérer les options \nGérer les services \nGérer {vendor_count} fournisseurs \nEn savoir plus sur ces finalités \nAccepter \nTout refuser \nPersonnaliser \nSauvegarder les préférences \nPersonnaliser \n{title} \n{title} \n{title} Gérer le consentement Gérer le consentement","2026-08-09T00:32:13.289Z",200,"text\u002Fhtml; charset=UTF-8","0232226769bc796566957f805d7f5aff2fce8fc24c0f8e88bdfe0fb0d268bea4","data\u002Fcatalog\u002Fcache\u002Faixploria\u002F7143e9c9dff183a8ac554f3411f55709cb2efcbd697045fe1e20845bfeac3ba1.html",true,"human_verified",{"url":354,"final_url":354,"status":409,"fetched_at":416,"content_hash":417,"title":418,"description":419,"headings":420,"pricing_evidence":459,"privacy_evidence":466,"capability_evidence":501,"text_excerpt":510,"linked_pages":511,"research_links":702,"blog_titles":735,"use_case_evidence":737,"feature_evidence":738},"2026-08-09T01:06:15.955Z","f8fabf966add17fbf85983ad0d875f3a1ee96009ce76c9862eecaf22555f6ce7","google\u002Fmedasr · Hugging Face","We’re on a journey to advance and democratize artificial intelligence through open source and open science.",[421,422,423,424,425,426,427,428,429,430,431,432,433,434,435,436,437,438,439,440,441,442,443,444,445,446,447,448,449,450,451,452,453,454,455,456,457,458],"google \u002F medasr like 353 Follow Google 63.9k","Instructions to use google\u002Fmedasr with libraries, inference providers, notebooks, and local apps. Follow these links to get started.","You need to agree to share your contact information to access this model","MedASR Model Card","Model documentation: MedASR","Model information","Description","How to use","Examples","Model architecture overview","Technical specifications","Citation","Performance and Evaluations","Safety evaluation","Data card","Dataset overview","Training","Evaluation","Source","Data ownership and documentation","Data citation","De-identification\u002Fanonymization:","Implementation Information","Hardware","Software","Usage and Limitations","Intended Use","Limitations","Benefits","Model tree for google\u002Fmedasr","Spaces using google\u002Fmedasr 18","Collection including google\u002Fmedasr","Health AI Developer Foundations (HAI-DEF)","Papers for google\u002Fmedasr","MedASR: An Open-Source Model for High-Accuracy Medical Dictation","Libriheavy: a 50,000 hours ASR corpus with punctuation casing and\ncontext","LAST: Scalable Lattice-Based Speech Modelling in 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US\",\"id\":\"region:us\"}],\"transformersInfo\":{\"auto_model\":\"AutoModel\"},\"safetensors\":{\"parameters\":{\"F32\":105282816},\"total\":105282816,\"sharded\":false,\"totalFileSize\":421172424},\"hasBlockedOids\":false,\"region\":\"us\",\"isQuantized\":false},\"discussionsStats\":{\"closed\":9,\"open\":3,\"total\":12},\"query\":{},\"inferenceContextData\":{\"billableEntities\":[],\"entityName2Providers\":{}},\"hasQuantizations\":true,\"copyToBucketNamespaces\":[]}\"> google \u002F medasr like 353 Follow Google 63.9k","Model documentation:\u003C\u002Fstrong> MedASR\",\"children\":[],\"isValid\":true,\"title\":\"Model documentation: MedASR\"},{\"id\":\"model-information\",\"label\":\"Model information\",\"children\":[{\"id\":\"description\",\"label\":\"Description\",\"children\":[],\"isValid\":true,\"title\":\"Description\"},{\"id\":\"how-to-use\",\"label\":\"How to use\",\"children\":[],\"isValid\":true,\"title\":\"How to 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Information\"},{\"id\":\"usage-and-limitations\",\"label\":\"\u003Cstrong>Usage and Limitations\u003C\u002Fstrong>\",\"children\":[{\"id\":\"intended-use\",\"label\":\"\u003Cstrong>Intended Use\u003C\u002Fstrong>\",\"children\":[],\"isValid\":true,\"title\":\"Intended Use\"},{\"id\":\"limitations\",\"label\":\"\u003Cstrong>Limitations\u003C\u002Fstrong>\",\"children\":[],\"isValid\":true,\"title\":\"Limitations\"},{\"id\":\"benefits\",\"label\":\"Benefits\",\"children\":[],\"isValid\":true,\"title\":\"Benefits\"}],\"isValid\":true,\"title\":\"Usage and Limitations\"}],\"isValid\":true,\"title\":\"MedASR Model Card\"}]}\"> MedASR Model Card Model documentation: MedASR Model information Description How to use Examples Model architecture overview Technical specifications Citation Performance and Evaluations Data card Dataset overview Data ownership and documentation Data citation De-identification\u002Fanonymization: Implementation Information Hardware Software Usage and Limitations Intended Use Limitations Benefits","$ uv pip install git+https:\u002F\u002Fgithub.com\u002Fhuggingface\u002Ftransformers.git@65dc261512cbdb1ee72b88ae5b222f2605aad8e5","Cost-effectiveness: In many scenarios, TPUs can provide a more","The MedASR model has certain limitations that users should be aware of.","Paper • 2005.08100 • Published May 16, 2020 • 1 \",\"pad_token\":\"\u003Cepsilon>\",\"unk_token\":\"\u003Cunk>\"}},\"createdAt\":\"2025-12-18T23:05:18.000Z\",\"discussionsDisabled\":false,\"discussionsSorting\":\"recently-created\",\"downloads\":237824,\"downloadsAllTime\":529737,\"id\":\"google\u002Fmedasr\",\"isLikedByUser\":false,\"availableInferenceProviders\":[],\"showHuggingChatEntry\":false,\"inference\":\"\",\"lastModified\":\"2026-05-26T16:48:04.000Z\",\"likes\":353,\"pipeline_tag\":\"automatic-speech-recognition\",\"library_name\":\"transformers\",\"librariesOther\":[],\"trackDownloads\":true,\"model-index\":null,\"private\":false,\"repoType\":\"model\",\"gated\":\"auto\",\"tags\":[\"transformers\",\"safetensors\",\"lasr_ctc\",\"medical-asr\",\"radiology\",\"medical\",\"automatic-speech-recognition\",\"en\",\"arxiv:2605.16555\",\"arxiv:2005.08100\",\"arxiv:2304.13134\",\"arxiv:2309.08105\",\"license:other\",\"endpoints_compatible\",\"region:us\"],\"tag_objs\":[{\"id\":\"automatic-speech-recognition\",\"label\":\"Automatic Speech Recognition\",\"type\":\"pipeline_tag\",\"subType\":\"audio\"},{\"id\":\"transformers\",\"label\":\"Transformers\",\"type\":\"library\"},{\"id\":\"safetensors\",\"label\":\"Safetensors\",\"type\":\"library\"},{\"id\":\"en\",\"label\":\"English\",\"type\":\"language\"},{\"id\":\"lasr_ctc\",\"label\":\"lasr_ctc\",\"type\":\"other\",\"clickable\":true},{\"id\":\"medical-asr\",\"label\":\"medical-asr\",\"type\":\"other\",\"clickable\":true},{\"id\":\"radiology\",\"label\":\"radiology\",\"type\":\"other\",\"clickable\":true},{\"id\":\"medical\",\"label\":\"medical\",\"type\":\"other\",\"clickable\":true},{\"id\":\"endpoints_compatible\",\"label\":\"Inference Endpoints\",\"type\":\"other\",\"clickable\":true},{\"id\":\"arxiv:2605.16555\",\"label\":\"arxiv:2605.16555\",\"type\":\"arxiv\",\"extra\":{\"paperTitle\":\"MedASR: An Open-Source Model for High-Accuracy Medical Dictation\"}},{\"id\":\"arxiv:2005.08100\",\"label\":\"arxiv:2005.08100\",\"type\":\"arxiv\",\"extra\":{\"paperTitle\":\"Conformer: Convolution-augmented Transformer for Speech Recognition\"}},{\"id\":\"arxiv:2304.13134\",\"label\":\"arxiv:2304.13134\",\"type\":\"arxiv\",\"extra\":{\"paperTitle\":\"LAST: Scalable Lattice-Based Speech Modelling in JAX\"}},{\"id\":\"arxiv:2309.08105\",\"label\":\"arxiv:2309.08105\",\"type\":\"arxiv\",\"extra\":{\"paperTitle\":\"Libriheavy: a 50,000 hours ASR corpus with punctuation casing and\\n context\"}},{\"id\":\"license:other\",\"label\":\"other\",\"type\":\"license\"},{\"type\":\"region\",\"label\":\"🇺🇸 Region: US\",\"id\":\"region:us\"}],\"transformersInfo\":{\"auto_model\":\"AutoModel\"},\"safetensors\":{\"parameters\":{\"F32\":105282816},\"total\":105282816,\"sharded\":false,\"totalFileSize\":421172424},\"hasBlockedOids\":false,\"region\":\"us\",\"isQuantized\":false}}\"> System theme Company TOS Privacy About Careers Website Models Datasets Spaces Pricing Docs",[460,467,468,469,470,471,472,437,473,474,475,476,477,478,479,480,481,482,483,484,485,486,487,488,489,490,491,492,493,494,495,496,497,498,499,500,465],"model = AutoModel.from_pretrained(\"google\u002Fmedasr\", device_map=\"auto\") Notebooks Google Colab Kaggle You need to agree to share your contact information to access this model","architecture pre-trained for medical","MedASR has been extensively pre-trained on a corpus of medical audio data, it","of its pre-training data, such as non-standard medication names or consistent","processor = AutoProcessor.from_pretrained(model_id)","model = AutoModelForCTC.from_pretrained(model_id).to(device)","The MedASR model is specifically trained on a diverse set of de-identified","medical speech data. Its training utilizes approximately 5000 hours of physician","The model is trained on audio segments paired with","The datasets used to train MedASR include a public dataset for pre-training and","Pre-training with the full LibriHeavy training","patient privacy.","hardware (TPUv4p, TPUv5p and TPUv5e). Training speech-to text models requires","computations involved in training VLMs. They can speed up training","allowing for the handling of large models and batch sizes during training.","distribute training across multiple TPU devices for faster and more","cost-effective solution for training large models compared to CPU-based","to faster training.","Training was done using JAX and ML","including TPUs, for faster and more efficient training of large models. ML","to orchestrate the entire training run, dramatically simplifying the development","and life sciences space. Developers are responsible for training, adapting, and","MedASR is trained on many medical audio, speech, and text and enables further","and pre-trained on can be found in the MedASR model card.","Training Data","English-only: All training data is in English","Speaker diversity: Most training data comes from speakers where English","Speaker Sex\u002FGender: Training data included both men and women but had a","Audio quality: Training data is mostly from high quality microphones.","audio training, its training may not include all medications, procedures","Dates: MedASR has been trained on de-identified data so its performance","with specific training for medical applications. 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Follow these links to get started.\nLibraries Transformers How to use google\u002Fmedasr with Transformers:\n# Use a pipeline as a high-level helper\nfrom transformers import pipeline\npipe = pipeline(\"automatic-speech-recognition\", model=\"google\u002Fmedasr\") # Load model directly\nfrom transformers import AutoModel\nmodel = AutoModel.from_pretrained(\"google\u002Fmedasr\", device_map=\"auto\") Notebooks Google Colab Kaggle You need to agree to share your contact information to access this model \nThis repository is publicly accessible, but you have to accept the conditions to access its files and content .\nLog in or Sign Up to review the conditions and access this model content.\nModel documentation:\u003C\u002Fstrong> MedASR\",\"children\":[],\"isValid\":true,\"title\":\"Model documentation: MedASR\"},{\"id\":\"model-information\",\"label\":\"Model information\",\"children\":[{\"id\":\"description\",\"label\":\"Description\",\"children\":[],\"isValid\":true,\"title\":\"Description\"},{\"id\":\"how-to-use\",\"label\":\"How to use\",\"children\":[],\"isValid\":true,\"title\":\"How to use\"},{\"id\":\"examples\",\"label\":\"Examples\",\"children\":[],\"isValid\":true,\"title\":\"Examples\"},{\"id\":\"model-architecture-overview\",\"label\":\"Model architecture overview\",\"children\":[],\"isValid\":true,\"title\":\"Model architecture overview\"},{\"id\":\"technical-specifications\",\"label\":\"Technical specifications\",\"children\":[],\"isValid\":true,\"title\":\"Technical specifications\"},{\"id\":\"citation\",\"label\":\"Citation\",\"children\":[],\"isValid\":true,\"title\":\"Citation\"},{\"id\":\"performance-and-evaluations\",\"label\":\"\u003Cstrong>Performance and Evaluations\u003C\u002Fstrong>\",\"children\":[],\"isValid\":true,\"title\":\"Performance and Evaluations\"}],\"isValid\":true,\"title\":\"Model information\"},{\"id\":\"data-card\",\"label\":\"Data card\",\"children\":[{\"id\":\"dataset-overview\",\"label\":\"Dataset overview\",\"children\":[],\"isValid\":true,\"title\":\"Dataset overview\"},{\"id\":\"data-ownership-and-documentation\",\"label\":\"Data ownership and documentation\",\"children\":[],\"isValid\":true,\"title\":\"Data ownership and documentation\"},{\"id\":\"data-citation\",\"label\":\"Data citation\",\"children\":[],\"isValid\":true,\"title\":\"Data citation\"},{\"id\":\"de-identificationanonymization\",\"label\":\"De-identification\u002Fanonymization:\",\"children\":[],\"isValid\":true,\"title\":\"De-identification\u002Fanonymization:\"}],\"isValid\":true,\"title\":\"Data card\"},{\"id\":\"implementation-information\",\"label\":\"\u003Cstrong>Implementation Information\u003C\u002Fstrong>\",\"children\":[{\"id\":\"hardware\",\"label\":\"\u003Cstrong>Hardware\u003C\u002Fstrong>\",\"children\":[],\"isValid\":true,\"title\":\"Hardware\"},{\"id\":\"software\",\"label\":\"\u003Cstrong>Software\u003C\u002Fstrong>\",\"children\":[],\"isValid\":true,\"title\":\"Software\"}],\"isValid\":true,\"title\":\"Implementation Information\"},{\"id\":\"usage-and-limitations\",\"label\":\"\u003Cstrong>Usage and Limitations\u003C\u002Fstrong>\",\"children\":[{\"id\":\"intended-use\",\"label\":\"\u003Cstrong>Intended Use\u003C\u002Fstrong>\",\"children\":[],\"isValid\":true,\"title\":\"Intended Use\"},{\"id\":\"limitations\",\"label\":\"\u003Cstrong>Limitations\u003C\u002Fstrong>\",\"children\":[],\"isValid\":true,\"title\":\"Limitations\"},{\"id\":\"benefits\",\"label\":\"Benefits\",\"children\":[],\"isValid\":true,\"title\":\"Benefits\"}],\"isValid\":true,\"title\":\"Usage and Limitations\"}],\"isValid\":true,\"title\":\"MedASR Model Card\"}]}\"> MedASR Model Card Model documentation: MedASR Model information Description How to use Examples Model architecture overview Technical specifications Citation Performance and Evaluations Data card Dataset overview Data ownership and documentation Data citation De-identification\u002Fanonymization: Implementation Information Hardware Software Usage and Limitations Intended Use Limitations Benefits \nMedASR Model Card\nModel documentation: MedASR \nResources: \nModel on Google Cloud Model Garden: MedASR \nModel on Hugging Face: MedASR \nGitHub repository (supporting code, Colab notebooks, discussions, and\nissues): MedASR \nQuick start notebook: GitHub \nFine-tuning notebook: GitHub \nSupport: See Contact \nPreprint technical report \nLicense: The use of MedASR is governed by the Health AI Developer\nFoundations terms of\nuse .\nAuthor: Google\nModel information\nThis section describes the MedASR (Medical Automated Speech Recognition) model\nand how to use it.\nDescription\nMedASR is a speech-to-text model based on the Conformer\narchitecture pre-trained for medical\ndictation. MedASR is intended as a starting point for developers, and is\nwell-suited for dictation tasks involving medical terminologies, such as\nradiology dictation. While\nMedASR has been extensively pre-trained on a corpus of medical audio data, it\nmay occasionally exhibit performance variability when encountering terms outside\nof its pre-training data, such as non-standard medication names or consistent\nhandling of temporal data (dates, times, or durations).\nHow to use\nThe following are some example code snippets to help you quickly get started\nrunning the model locally. If you want to use the model at scale, we recommend\nthat you create a production version using Model\nGarden .\nFirst, install the Transformers library. MedASR is supported starting from\ntransformers 5.0.0. You may need to install transformers from GitHub.\n$ uv pip install git+https:\u002F\u002Fgithub.com\u002Fhuggingface\u002Ftransformers.git@65dc261512cbdb1ee72b88ae5b222f2605aad8e5 \nRun model with the pipeline API \nfrom transformers import pipeline\nimport huggingface_hub\nfrom IPython.display import Audio, display\naudio = huggingface_hub.hf_hub_download( 'google\u002Fmedasr' , 'test_audio.wav' )\nmodel_id = \"google\u002Fmedasr\" \npipe = pipeline( \"automatic-speech-recognition\" , model=model_id)\nresult = pipe(audio,chunk_length_s= 20 ,stride_length_s= 2 )\n# the chunk length is how long in seconds MedASR batches audio and the stride length is the overlap between chunks. \nprint (result)\nRun the model directly \nfrom transformers import AutoModelForCTC, AutoProcessor\nimport huggingface_hub\nimport librosa\nimport torch\naudio = huggingface_hub.hf_hub_download( 'google\u002Fmedasr' , 'test_audio.wav' )\nmodel_id = f\"google\u002Fmedasr\" \ndevice = \"cuda\" if torch.cuda.is_available() else \"cpu\" \nprocessor = AutoProcessor.from_pretrained(model_id)\nmodel = AutoModelForCTC.from_pretrained(model_id).to(device)\naudio = huggingface_hub.hf_hub_download( 'google\u002Fmedasr' , 'test_audio.wav' )\nspeech, sample_rate = librosa.load(audio, sr= 16000 )\ninputs = processor(speech, sampling_rate=sample_rate, return_tensors= \"pt\" , padding= True )\ninputs = inputs.to(device)\noutputs = model.generate(**inputs)\ndecoded_text = processor.batch_decode(outputs)[ 0 ]\nprint ( f\"result= {decoded_text} \" )\nExamples\nSee the following tutorial notebooks for examples of how to use MedASR:\nTo give the model a quick try, running it locally with weights from Hugging\nFace, see Quick start notebook in\nColab .\nFor an example of fine-tuning the, see the Fine-tuning notebook in\nColab .\nModel architecture overview\nThe MedASR model is built based on the\nConformer architecture.\nTechnical specifications\nModel type : Automated-speech-detector\nInput Modalities : Mono-channel audio 16kHz, int16 waveform\nOutput Modality: Text only\nNumber of parameters: 105M\nKey publication : LAST: Scalable Lattice-Based Speech Modelling in JAX \nModel created : December 18, 2025\nModel version : 1.0.0\nCitation\nWhen using this model, cite: \n@inproceedings{wu2023last, \ntitle={Last: Scalable Lattice-Based Speech Modelling in Jax}, \nauthor={Wu, Ke and Variani, Ehsan and Bagby, Tom and Riley, Michael}, \nbooktitle={ICASSP 2023-2023 IEEE International Conference on Acoustics, Speech\nand Signal Processing (ICASSP)}, \npages={1--5}, \nyear={2023}, \norganization={IEEE} \n}\nPerformance and Evaluations \nOur evaluation methods include evaluating word-error rate (WER) of MedASR\nagainst held out medical audio examples. We also evaluate specifically medical\nWER, where we only look at words that have a medical context. These audio\nsamples have been transcribed by human experts, but there is always some noise\nin such transcriptions.\nKey performance metrics \nWord error rate of MedASR versus other models*\nDataset name \nDataset description \nMedASR with greedy decoding \nMedASR + 6-gram language model \nGemini 2.5 Pro \nGemini 2.5 Flash \nWhisper v3 Large \nRAD-DICT \nPrivate radiologist dictation dataset \n6.6% \n4.6% \n10.0% \n24.4% \n25.3% \nGENERAL-DICT \nPrivate general and internal medicine dataset \n9.3% \n6.9% \n16.4% \n27.1% \n33.1% \nFM-DICT \nPrivate family medicine dataset \n8.1% \n5.8% \n14.6% \n19.9% \n32.5% \nEye Gaze \nDictation of audio from 998 MIMIC cases (multiple speakers) \n6.6% \n5.2% \n5.9% \n9.3% \n12.5% \n*All results except \"MedASR + 6-gram language model\" in the preceding table\nuse greedy decoding. \"MedASR + 6-gram language model\" uses beam search with\nbeam size 8.\nSafety evaluation \nOur evaluation methods include structured evaluations and internal red-teaming\ntesting of relevant safety policies. This model was evaluated across various\ndimensions to assess safety. Human evaluations were conducted on 100 example\noutputs to assess for potential safety impact, specifically related to incorrect\ntranscriptions associated with medication names, dosages, diagnoses, semantic\nchanges, and medical terminology. The results of these evaluations were\ndetermined to be acceptable in regards to internal policies for overall safety.\nData card\nDataset overview\nTraining\nThe MedASR model is specifically trained on a diverse set of de-identified\nmedical speech data. Its training utilizes approximately 5000 hours of physician\ndictations across a range of specialities (proprietary dataset).\nThe model is trained on audio segments paired with\ncorresponding transcripts and metadata,\nalso including extensive annotations for medical named entities such as\nsymptoms, medications, and conditions. MedASR therefore has a strong\nunderstanding of vocabulary used in medical contexts.\nEvaluation\nMedASR has been evaluated using a mix of internal and public datasets as noted\nin the Key Performance Metrics section. We used argmax of the model for\nposterior probability (greedy decoding) to get the output model's hypothesis\ntokens. The hypothesis is compared against ground truth transcript using jiwer\nlibrary to calculate the word error rate.\nSource\nThe datasets used to train MedASR include a public dataset for pre-training and\na proprietary dataset that was licensed and incorporated (described in the\nfollowing section).\nData ownership and documentation\nPre-training with the full LibriHeavy training\nset. Fine-tuning was conducted on\nde-identified, licensed datasets described in the following section\nPrivate Medical Dict: Google internal dataset consisting of de-identified\ndictations made by physicians of different specialities including radiology,\ninternal medicine, family medicine, and other subspecialties totaling more than\n5000 hours of audio. This dataset was split into test sets that constitute\nRAD-DICT, FM-DICT and General and Internal Medicine-DICT referenced previously\nin Performance and Evaluations.\nData citation\nEye Gaze Data for Chest X-rays (evaluation set described previously in\nPerformance and Evaluations) was derived from:\nMIMIC-CXR Database v1.0.0 and MIMIC-IV v0.4\nDe-identification\u002Fanonymization:\nGoogle and its partners utilize datasets that have been rigorously anonymized or\nde-identified to ensure the protection of individual research participants and\npatient privacy.\nImplementation Information \nDetails about the model internals.\nHardware \nTensor Processing Unit (TPU) \nhardware (TPUv4p, TPUv5p and TPUv5e). Training speech-to text models requires\nsignificant computational power. TPUs, designed specifically for matrix\noperations common in machine learning, offer several advantages in this domain:\nPerformance: TPUs are specifically designed to handle the massive\ncomputations involved in training VLMs. They can speed up training\nconsiderably compared to CPUs. \nMemory: TPUs often come with large amounts of high-bandwidth memory,\nallowing for the handling of large models and batch sizes during training.\nThis can lead to better model quality. \nScalability: TPU Pods (large clusters of TPUs) provide a scalable solution\nfor handling the growing complexity of large foundation models. You can\ndistribute training across multiple TPU devices for faster and more\nefficient processing. \nCost-effectiveness: In many scenarios, TPUs can provide a more\ncost-effective solution for training large models compared to CPU-based\ninfrastructure, especially when considering the time and resources saved due\nto faster training. \nThese advantages are aligned with Google's commitments to operate\nsustainably . \nSoftware \nTraining was done using JAX and ML\nPathways .\nJAX allows researchers to take advantage of the latest generation of hardware,\nincluding TPUs, for faster and more efficient training of large models. ML\nPathways is Google's latest effort to build artificially intelligent systems\ncapable of generalizing across multiple tasks. This is specially suitable for\nfoundation models, including large language models like these ones.\nTogether, JAX and ML Pathways are used as described in the paper about the\nGemini family of models ; \"the 'single\ncontroller' programming model of JAX and Pathways allows a single Python process\nto orchestrate the entire training run, dramatically simplifying the development\nworkflow.\" \nUsage and Limitations \nThe MedASR model has certain limitations that users should be aware of.\nIntended Use \nMedASR is a speech-to-text model intended to be used as a starting point that\nenables more efficient development of downstream healthcare applications\nrequiring speech as input. MedASR is intended for developers in the healthcare\nand life sciences space. Developers are responsible for training, adapting, and\nmaking meaningful changes to MedASR to accomplish their specific intended use.\nThe MedASR model can be fine-tuned by developers using their own proprietary\ndata for their specific tasks or solutions.\nMedASR is trained on many medical audio, speech, and text and enables further\ndevelopment and integration, or both with generative models like\nMedGemma ,\nwhere MedASR converts speech to text, which can then be used as input for a\ntext-to-text response. Full details of all the tasks MedASR has been evaluated\nand pre-trained on can be found in the MedASR model card.\nMedASR is not intended to be used without appropriate validation, adaptation, or\nmaking meaningful modification by developers for their specific use case. The\noutputs generated by MedASR may include transcription errors and are not\nintended to directly inform clinical diagnosis, patient management decisions,\ntreatment recommendations, or any other direct clinical practice applications.\nAll outputs from MedASR should be considered preliminary and require independent\nve",[512,529,546,591,626,658,677,696],{"url":513,"kind":514,"anchor":515,"title":516,"description":419,"headings":517,"feature_evidence":519,"use_case_evidence":526,"fetched_at":527,"status":409,"content_hash":528},"https:\u002F\u002Fhuggingface.co\u002Fdocs","feature","Docs","Hugging Face - Documentation",[518],"Documentation",[520,521,522,523,524,525],"Hugging Face Models Datasets Spaces Buckets new Docs Enterprise Pricing Website Tasks HuggingChat Collections Languages Organizations Community Blog Posts Daily Papers Hardware Learn Discord Forum GitHub Solutions Team & Enterprise Hugging Face PRO Enterprise Support Inference Providers Inference Endpoints Storage Buckets Log In Sign Up Documentation","Guides, references, and API docs for the Hugging Face ecosystem.","API for metadata, stats, and content of HF Hub datasets","Serve language models with TGI optimized toolkit","Parameter-efficient finetuning for large language models","AutoTrain API and UI for seamless model training",[520],"2026-08-09T01:06:12.467Z","f159e03846fde730e682a24c39ad68991ca937891ddef04169f0228efd8f6b9a",{"url":530,"kind":514,"anchor":340,"title":531,"description":419,"headings":532,"feature_evidence":540,"use_case_evidence":543,"fetched_at":544,"status":409,"content_hash":545},"https:\u002F\u002Fhuggingface.co\u002Fdocs\u002Fsafetensors","Safetensors · Hugging Face",[533,533,534,535,536,537,538,539],"Safetensors","Installation","Usage","Load tensors","Save tensors","Format","Featured Projects",[541,542],"Hugging Face Models Datasets Spaces Buckets new Docs Enterprise Pricing Website Tasks HuggingChat Collections Languages Organizations Community Blog Posts Daily Papers Hardware Learn Discord Forum GitHub Solutions Team & Enterprise Hugging Face PRO Enterprise Support Inference Providers Inference Endpoints Storage Buckets Log In Sign Up Safetensors documentation","🏡 View all docs AWS Trainium & Inferentia Accelerate Argilla AutoTrain Bitsandbytes CLI Chat UI Dataset viewer Datasets Deploying on AWS Diffusers Distilabel Evaluate Google Cloud Google TPUs Gradio Hub Hub Python Library Huggingface.js Inference Endpoints (dedicated) Inference Providers Kernels LeRobot Leaderboards Lighteval Microsoft Azure OpenEnv Optimum PEFT Reachy Mini Safetensors Sentence Transformers TRL Tasks Text Embeddings Inference Text Generation Inference Tokenizers Trackio Transformers Transformers.js Xet smolagents timm Search documentation main v0.5.0-rc.0 v0.3.2 v0.2.9 EN Getting started 🤗 Safetensors Speed Comparison Tensor Sharing in Pytorch Metadata Parsing Convert weights to safetensors API Torch API Tensorflow API PaddlePaddle API Flax API Numpy API You are viewing main version, which requires installation from source . If you'd like",[541],"2026-08-09T01:06:12.881Z","bfdb5bd3d177a4fc0cdb3b18b961688294cb795b9a618b8eec4d168ce003bb31",{"url":547,"kind":514,"anchor":548,"title":549,"description":419,"headings":550,"feature_evidence":568,"use_case_evidence":587,"fetched_at":589,"status":409,"content_hash":590},"https:\u002F\u002Fhuggingface.co\u002Fdocs\u002Finference-providers","NEW","Inference Providers · Hugging Face",[551,551,552,553,554,555,556,557,558,559,560,561,562,563,560,561,564,565,566,567],"Inference Providers","Quick Setup for Agents","Partners","Why Choose Inference Providers?","Key Features","Getting Started","Inference Playground","Authentication","Quick Start - LLM","Python","JavaScript","HTTP \u002F cURL","Quick Start - Text-to-Image Generation","Provider Selection","API as a Proxy Service","Client-Side Provider Selection (Inference Clients)","Alternative: OpenAI-Compatible Chat Completions Endpoint (Chat Only)",[569,570,571,572,573,574,575,576,577,578,579,580,581,565,582,583,584,585,586],"Hugging Face Models Datasets Spaces Buckets new Docs Enterprise Pricing Website Tasks HuggingChat Collections Languages Organizations Community Blog Posts Daily Papers Hardware Learn Discord Forum GitHub Solutions Team & Enterprise Hugging Face PRO Enterprise Support Inference Providers Inference Endpoints Storage Buckets Log In Sign Up Inference Providers documentation","🏡 View all docs AWS Trainium & Inferentia Accelerate Argilla AutoTrain Bitsandbytes CLI Chat UI Dataset viewer Datasets Deploying on AWS Diffusers Distilabel Evaluate Google Cloud Google TPUs Gradio Hub Hub Python Library Huggingface.js Inference Endpoints (dedicated) Inference Providers Kernels LeRobot Leaderboards Lighteval Microsoft Azure OpenEnv Optimum PEFT Reachy Mini Safetensors Sentence Transformers TRL Tasks Text Embeddings Inference Text Generation Inference Tokenizers Trackio Transformers Transformers.js Xet smolagents timm Search documentation main EN Get Started Inference Providers Pricing and Billing Hub integration Security Guides Your First API Call Building Your First AI App Structured Outputs with LLMs Function Calling Responses API (beta) How to use OpenAI gpt-oss Build an Image Editor Automating Code Review with GitHub Actions Agentic Coding Environments with OpenEnv Evaluating Models with Inspect Integrations Overview Pi OpenCode Codex Claude Code Hermes Agent NeMo Data Designer MacWhisper Vision Agents VS Code with GitHub Copilot Add Your Integration Inference Tasks Chat Completion Feature Extraction Text to Image Text to Video Other Tasks Providers Baseten Cerebras Cohere DeepInfra Fal AI Featherless AI Fireworks Groq HF Inference Novita Nscale OVHcloud AI Endpoints Public AI Replicate Scaleway Together WaveSpeedAI Z.ai Hub API Register as an Inference Provider Join the Hugging Face community and get access to the augmented documentation experience","Our platform integrates with leading AI infrastructure providers, giving you access to their specialized capabilities through a single, consistent API. Here’s what each partner supports:","When you build AI applications, it’s tough to manage multiple provider APIs, comparing model performance, and dealing with varying reliability. Inference Providers solves these challenges by offering:","Instant Access to Cutting-Edge Models : Go beyond mainstream providers to access thousands of specialized models across multiple AI tasks. Whether you need the latest language models, state-of-the-art image generators, or domain-specific embeddings, you’ll find them here.","Text Generation : Use Large language models with tool-calling capabilities for chatbots, content generation, and code assistance Image and Video Generation : Create custom images and videos, including support for LoRAs and style customization Search & Retrieval : State-of-the-art embeddings for semantic search, RAG systems, and recommendation engines Traditional ML Tasks : Ready-to-use models for classification, NER, summarization, and speech recognition ⚡ Get Started for Free : Inference Providers includes a generous free tier, with additional credits for PRO users and Team & Enterprise organizations .","🎯 All-in-One API : A single API for text generation, image generation, document embeddings, NER, summarization, image classification, and more. 🔀 Multi-Provider Support : Easily run models from top-tier providers like fal, Replicate, Together AI, and others. 🚀 Scalable & Reliable : Built for high availability and low-latency performance in production environments. 🔧 Developer-Friendly : Simple requests, fast responses, and a consistent developer experience across Python and JavaScript clients. 👷 Easy to integrate : Drop-in replacement for the OpenAI chat completions API. 💰 Cost-Effective : No extra markup on provider rates. Getting Started","Inference Providers works with your existing development workflow. Whether you prefer Python, JavaScript, or direct HTTP calls, we provide native SDKs and OpenAI-compatible APIs to get you up and running quickly.","Prefer the terminal? Run hf models ls --warm with the hf CLI to list every model served by at least one provider, and add --json for scripts and agents. See the Hub API page for the full set of filters.","Let’s start with the most common use case: conversational AI using large language models. This section demonstrates how to perform chat completions using DeepSeek V3, showcasing the different ways you can integrate Inference Providers into your applications.","For testing, debugging, or integrating with any HTTP client, here’s the raw REST API format.","client = InferenceClient(api_key=os.environ[ \"HF_TOKEN\" ])","The Inference Providers API acts as a unified proxy layer that sits between your application and multiple AI providers. Understanding how provider selection works is crucial for optimizing performance, cost, and reliability in your applications.","Unified Authentication & Billing : Use a single Hugging Face token for all providers Automatic Failover : When using automatic provider selection ( provider=\"auto\" ), requests are automatically routed to alternative providers if the primary provider is flagged as unavailable by our validation system Consistent Interface through client libraries : When using our client libraries, the same request format works across different providers Because the API acts as a proxy, the exact HTTP request may vary between providers as each provider has their own API requirements and response formats. When using our official client libraries (JavaScript or Python), these provider-specific differences are handled automatically whether you use provider=\"auto\" or specify a particular provider.","When using the Hugging Face inference clients (JavaScript or Python), you can explicitly specify a provider or let the system choose automatically. The client then formats the HTTP request to match the selected provider’s API requirements.","If you prefer to work with familiar OpenAI APIs or want to migrate existing chat completion code with minimal changes, we offer a drop-in compatible endpoint that handles all provider selection automatically on the server side.","apiKey : process. env . HF_TOKEN ,","Announcement Blog Post : Learn more about the launch of Inference Providers Pricing and Billing : Understand costs and billing of Inference Providers Hub Integration : Learn how Inference Providers are integrated with the Hugging Face Hub Register as a Provider : Requirements to join our partner network as a provider Hub API : Advanced API features and configuration API Reference : Complete parameter documentation for all supported tasks Update on GitHub",[569,576,588,578],"Before diving into integration, explore models interactively with our Inference Playground . Test different chat completion models with your prompts and compare responses to find the perfect fit for your use case.","2026-08-09T01:06:13.300Z","3160b456f4371e10f13cb7eddc8794a8adb979a9001ef43ee58989420c79db63",{"url":592,"kind":514,"anchor":340,"title":593,"description":419,"headings":594,"feature_evidence":615,"use_case_evidence":623,"fetched_at":624,"status":409,"content_hash":625},"https:\u002F\u002Fhuggingface.co\u002Fdocs\u002Fhub\u002Fmodel-cards#specifying-a-base-model","Model Cards · Hugging Face",[595,596,597,598,599,600,601,602,603,604,605,606,607,608,609,610,611,612,613,614],"Hub","Model Cards","What are Model Cards?","Model card metadata","Adding metadata to your model card","Using the metadata UI","Editing the YAML section of the README.md file","Specifying a library","Specifying a base model","Specifying a new version","Specifying a dataset","Specifying a bucket","Specifying a task ( pipeline_tag )","Specifying a license","Evaluation Results","CO2 Emissions","Linking a Paper","Model Card text","FAQ","How are model tags determined?",[616,617,618,619,620,621,622],"Hugging Face Models Datasets Spaces Buckets new Docs Enterprise Pricing Website Tasks HuggingChat Collections Languages Organizations Community Blog Posts Daily Papers Hardware Learn Discord Forum GitHub Solutions Team & Enterprise Hugging Face PRO Enterprise Support Inference Providers Inference Endpoints Storage Buckets Log In Sign Up Hub documentation","🏡 View all docs AWS Trainium & Inferentia Accelerate Argilla AutoTrain Bitsandbytes CLI Chat UI Dataset viewer Datasets Deploying on AWS Diffusers Distilabel Evaluate Google Cloud Google TPUs Gradio Hub Hub Python Library Huggingface.js Inference Endpoints (dedicated) Inference Providers Kernels LeRobot Leaderboards Lighteval Microsoft Azure OpenEnv Optimum PEFT Reachy Mini Safetensors Sentence Transformers TRL Tasks Text Embeddings Inference Text Generation Inference Tokenizers Trackio Transformers Transformers.js Xet smolagents timm Search documentation EN API docs 🤗 Hugging Face Hub Team & Enterprise Plans Single Sign-On (SSO) Audit Logs Storage Regions Data Studio for Private datasets Resource Groups (Access Control) Advanced Compute Options Advanced Security Tokens Management Service Accounts Publisher Analytics Gating Group Collections Network Security Download Analytics Rate Limits Blog Articles PRO Plan Repositories Getting Started with Repositories Repository Settings Storage Limits Storage Backend (Xet) Local Cache Pull Requests & Discussions Notifications Collections Webhooks GitHub Actions Notebooks Next Steps Licenses Models The Model Hub Model Cards Carbon Emissions Card Components Eval Results Leaderboard Data Gated Models Uploading Models Downloading Models Integrated Libraries Model Widgets Model Inference Models Download Stats Model Release Checklist Hardware Local Apps Frequently Asked Questions Advanced Topics Datasets Datasets Overview Dataset Cards Gated Datasets Uploading Datasets Uploading Datasets (for LLMs) Downloading Datasets Streaming Datasets Integrated Libraries Data Studio Agent Traces Datasets Download Stats Spaces Spaces Overview Spaces GPU Upgrades Spaces ZeroGPU Spaces Dev Mode Spaces Disk Usage & Storage Spaces Custom Domain Spaces as MCP servers Spaces as Agent Tools Spaces as API Endpoints Gradio Spaces Streamlit Spaces Static HTML Spaces Docker Spaces Embed your Space Run Spaces with Docker Spaces Configuration Reference Sign-In with HF button Featured Spaces Spaces Changelog Advanced Topics Storage Buckets new Access Patterns S3 Compatibility Bucket Integrations Bucket Security Jobs Jobs Overview Quickstart Pricing and Billing Manage Jobs Configuration Popular Images Serve Models Examples & Tutorials Process Large Datasets Schedule Jobs Webhook Automation Reference Agents Agents Overview Hugging Face CLI for AI Agents Hugging Face MCP Server Hugging Face Agent Skills Building agents with the HF SDK Local Agents with llama.cpp Agent Libraries Session Traces Format Other Organizations Billing Security Moderation Paper Pages Academia Hub Blog Articles Search Digital Object Identifier (DOI) Hub API Endpoints OAuth \u002F Sign in with HF Join the Hugging Face community and get access to the augmented documentation experience","the model its intended uses & potential limitations, including biases and ethical considerations as detailed in Mitchell, 2018 the training params and experimental info (you can embed or link to an experiment tracking platform for reference) which datasets were used to train your model the model’s evaluation results The model card template is available here .","Allowing users to filter models at https:\u002F\u002Fhuggingface.co\u002Fmodels . Displaying the model’s license. Adding datasets to the metadata will add a message reading Datasets used to train: to your model page and link the relevant datasets, if they’re available on the Hub. Dataset and language identifiers are those listed on the Datasets and Languages pages.","language:","- \"List of ISO 639-1 code for your language\"","You can specify the pipeline_tag in the model card metadata. The pipeline_tag indicates the type of task the model is intended for. This tag will be displayed on the model page and users can filter models on the Hub by task. This tag is also used to determine which widget to use for the model and which APIs to use under the hood.",[616],"2026-08-09T01:06:13.953Z","b2afeff7e0efd5cafcc67d1a4e7f83989c6fa23a9399647f76da2a6837e29c97",{"url":627,"kind":628,"anchor":629,"title":630,"description":631,"headings":632,"feature_evidence":652,"use_case_evidence":655,"fetched_at":656,"status":409,"content_hash":657},"https:\u002F\u002Fhuggingface.co\u002Fpapers","research","Daily Papers","Daily Papers - Hugging Face","Your daily dose of AI research from AK",[629,633,634,635,636,637,638,639,640,641,642,643,644,645,646,647,648,649,650,651],"by AK and the research community","AgentOPSD: Recursive Self-Distillation for Agentic Reinforcement Learning","OSReward: Instituting Standardized Evaluation for Cross-Platform Computer-Use Reward Models","Interpretable MEG Decoding of Perceived Speech: Cortical Sources and the Stimulus Features That Drive Retrieval","WorldClaw: Agentic 3D Open-World Generation at Scale","GST-Bench: Can VLMs Develop Global Spatial Awareness from Video?","EnvACE: Internalizing Environment Dynamics via World Rehearsal for Agentic Reinforcement Learning","ChronoVision: Temporal Reasoning via Latent State Reconstruction","Learning from Failures: Retrieval-Centric CoT via Hard Negatives for Unified Multimodal Retrieval","HarnessOpt-Bench: Evaluating LLMs at Harness Optimization","From Economic Agents to Agentic Economies: A Systems Blueprint for Economic World Models","DataSpace: Benchmarking Data Agents for Verifiable Analytics over Heterogeneous Workspaces","On-Policy Delta Distillation for Multilingual Math Reasoning","Teaching Nemotron Greek: Mining a Corpus, Adapting Retrieval, and Grounding Generation for Modern Greek across Specialist Domains","World-to-Wrist: Task-Conditioned Future Wrist Modeling for Fine-Grained Robot Manipulation","DyPES-VLA: Learning Shared Dynamics Priors and Embodiment-Specific Control for Cross-Embodiment Manipulation","Activity Frames: Deterministic Screen-Activity Compilation for Agent Memory and Replay","SmartMage: Dynamic Modality Orchestration for 3D Scene Understanding","EffectLearner: World-Aware Object-Effect Reasoning for Real-World Video Object Removal",[653,654],"Hugging Face Models Datasets Spaces Buckets new Docs Enterprise Pricing Website Tasks HuggingChat Collections Languages Organizations Community Blog Posts Daily Papers Hardware Learn Discord Forum GitHub Solutions Team & Enterprise Hugging Face PRO Enterprise Support Inference Providers Inference Endpoints Storage Buckets Log In Sign Up new Get trending papers in your email inbox once a day!","Kandinsky Lab 53 3 Submitted by Uri-ka 14 MameLoshnLM: Yiddish Language Model and Evaluation Benchmark",[653],"2026-08-09T01:06:14.457Z","a0c0f0ef4dfe1732003f3e577ec3bedde2b5286fc45ccc8358f16d63827e7045",{"url":659,"kind":628,"anchor":660,"title":661,"description":662,"headings":663,"feature_evidence":672,"use_case_evidence":674,"fetched_at":675,"status":409,"content_hash":676},"https:\u002F\u002Fhuggingface.co\u002Fpapers\u002F2605.16555","MedASR: An Open-Source Model for High-Accuracy Medical Dictation\nPaper • 2605.16555 • Published May 15","Paper page - MedASR: An Open-Source Model for High-Accuracy Medical Dictation","Join the discussion on this paper page",[455,664,665,666,667,668,669,670,671],"Abstract","Community","Models citing this paper 2","google\u002Fmedasr","handy-computer\u002Fmedasr-gguf","Datasets citing this paper 0","Spaces citing this paper 18","Collections including this paper 0",[673],"Hugging Face Models Datasets Spaces Buckets new Docs Enterprise Pricing Website Tasks HuggingChat Collections Languages Organizations Community Blog Posts Daily Papers Hardware Learn Discord Forum GitHub Solutions Team & Enterprise Hugging Face PRO Enterprise Support Inference Providers Inference Endpoints Storage Buckets Log In Sign Up Papers arxiv:2605.16555 Copy markdown MedASR: An Open-Source Model for High-Accuracy Medical Dictation",[673],"2026-08-09T01:06:14.768Z","2b4cb56c2829456a38ba96aecb6fdf591fd0a97b99ad17d3f3a200394e6253b0",{"url":678,"kind":679,"title":678,"description":340,"feature_evidence":680,"use_case_evidence":693,"fetched_at":694,"status":409,"content_hash":695},"https:\u002F\u002Fhuggingface.co\u002Fsitemap-blog.xml","blog",[681,682,683,684,685,686,687,688,689,690,691,692],"https:\u002F\u002Fhuggingface.co\u002Fblog\u002Frapidfireai","https:\u002F\u002Fhuggingface.co\u002Fblog\u002Fanylanguagemodel","https:\u002F\u002Fhuggingface.co\u002Fblog\u002Fintel-protein-language-model-protst","https:\u002F\u002Fhuggingface.co\u002Fblog\u002Ftgi-messages-api","https:\u002F\u002Fhuggingface.co\u002Fblog\u002Frun-musicgen-as-an-api","https:\u002F\u002Fhuggingface.co\u002Fblog\u002Funity-api","https:\u002F\u002Fhuggingface.co\u002Fblog\u002Fchinese-language-blog","https:\u002F\u002Fhuggingface.co\u002Fblog\u002Fintel-sapphire-rapids-inference","https:\u002F\u002Fhuggingface.co\u002Fblog\u002Fvision_language_pretraining","https:\u002F\u002Fhuggingface.co\u002Fblog\u002Fintel-sapphire-rapids","https:\u002F\u002Fhuggingface.co\u002Fblog\u002Flarge-language-models","https:\u002F\u002Fhuggingface.co\u002Fblog\u002Ffew-shot-learning-gpt-neo-and-inference-api",[],"2026-08-09T01:06:15.144Z","6f233b122ad09e75c57f6654c77242f0f50f9b12865961ac10367d14d836bb82",{"url":697,"kind":628,"title":697,"description":340,"feature_evidence":698,"use_case_evidence":699,"fetched_at":700,"status":409,"content_hash":701},"https:\u002F\u002Fhuggingface.co\u002Fsitemap-papers.xml",[],[],"2026-08-09T01:06:15.804Z","ad2833e02848abff8ab6f61e4988203adb61395a39ac87b4aad5879cda9bddf4",[703,704,707,710,713,716,718,721,724,725,728,731,734],{"url":627,"title":629,"kind":628},{"url":705,"title":706,"kind":628},"https:\u002F\u002Farxiv.org\u002Fabs\u002F2605.16555","Preprint technical report",{"url":708,"title":709,"kind":628},"https:\u002F\u002Farxiv.org\u002Fabs\u002F2005.08100","Conformer\narchitecture",{"url":711,"title":712,"kind":628},"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Fgoogle-health\u002Fmedasr\u002Fblob\u002Fmain\u002Fnotebooks\u002Fquick_start_with_hugging_face.ipynb","Quick start notebook in\nColab",{"url":714,"title":715,"kind":628},"https:\u002F\u002Fcolab.research.google.com\u002Fgithub\u002Fgoogle-health\u002Fmedasr\u002Fblob\u002Fmain\u002Fnotebooks\u002Ffine_tune_with_hugging_face.ipynb","Fine-tuning notebook in\nColab",{"url":717,"title":457,"kind":628},"https:\u002F\u002Farxiv.org\u002Fpdf\u002F2304.13134",{"url":719,"title":720,"kind":628},"https:\u002F\u002Farxiv.org\u002Fabs\u002F2309.08105","LibriHeavy training\nset.",{"url":722,"title":723,"kind":628},"https:\u002F\u002Fgoo.gle\u002Fgemma2report","paper about the\nGemini family of models",{"url":659,"title":660,"kind":628},{"url":726,"title":727,"kind":628},"https:\u002F\u002Fhuggingface.co\u002Fpapers\u002F2309.08105","Libriheavy: a 50,000 hours ASR corpus with punctuation casing and\ncontext\nPaper • 2309.08105 • Published Sep 15, 2023 • 1",{"url":729,"title":730,"kind":628},"https:\u002F\u002Fhuggingface.co\u002Fpapers\u002F2304.13134","LAST: Scalable Lattice-Based Speech Modelling in JAX\nPaper • 2304.13134 • Published Apr 25, 2023",{"url":732,"title":733,"kind":628},"https:\u002F\u002Fhuggingface.co\u002Fpapers\u002F2005.08100","Conformer: Convolution-augmented Transformer for Speech Recognition\nPaper • 2005.08100 • Published May 16, 2020 • 1",{"url":697,"title":697,"kind":628},[736],{"title":678,"url":678,"fetched_at":694},[],[460,502,503,504,505,506,507,508,509,499,500,465,520,521,522,523,524,525,541,542,569,570,571,572,573,574,575,576,577,578,579,580,581,565,582,583,584,585,586,616,617,618,619,620,621,622],"unknown",[],"Trenowany na zanonimizowanych danych medycznych audio; źródło katalogowe podaje 5 000 godzin danych medycznych obejmujących radiologię i medycynę wewnętrzną. Hugging Face wskazuje, że wszystkie dane treningowe są w języku angielskim.","model","4.6\u002F5 (Aixploria)",[745,746,747,748,749,750,751,752,753,754,755,756,757,758,759,760,761],"Model speech-to-text do medycznej dyktacji","Architektura Conformer","105M parametrów","Wejście: mono audio 16 kHz, int16 waveform","Wyjście tekstowe","Przykłady uruchomienia lokalnego przez Transformers","Możliwość fine-tuningu na własnych danych","Możliwe użycie z Model Garden \u002F środowiskiem Google Cloud","Automatic Speech Recognition (ASR)","Medical dictation transcription","Support for radiology and internal medicine domains","English-only language support","Pre-trained on 5,000 hours of de-identified medical audio data","Model size: 105 million parameters","Supports inference via Hugging Face Transformers","Available as Safetensors format","Endpoints compatible for deployment","Brak publicznie podanych planów cenowych ani ceny startowej w dostarczonych źródłach; listing Aixploria oznacza narzędzie jako bezpłatne.",[764,765,766],"Hugging Face Transformers","Hugging Face Hub","Google Cloud Model Garden",[768],"English","Health AI Developer Foundations terms of use",[771,772,773,774,775,776,777,778,779,780],"Brak wsparcia dla danych treningowych poza angielskim","Możliwie niższa jakość dla nietypowych akcentów i mowy spoza głównej populacji treningowej","Wrażliwość na niską jakość audio i szumy tła","Nie wszystkie terminy medyczne mogą być uwzględnione","Daty\u002Fczas\u002Ftrwanie mogą działać gorzej","Wyniki nie są przeznaczone do bezpośredniego podejmowania decyzji klinicznych","Training data may not include all medications, procedures, or non-standard medical terms","Performance may vary with speaker diversity and audio quality","Limited to English language","No official inference endpoints provided by Hugging Face",[782,667],"MedASR","brak dowodu na wsparcie języka polskiego",[785],{"plan_name":786,"access_model":787,"price":788,"currency":739,"billing_period":739,"included_usage":739,"trial_days":739,"card_required":739,"source_evidence":354},"Open Source","open-source","0","Model jest trenowany na zanonimizowanych danych medycznych; w źródłach nie ma dowodu, że dane użytkowników są używane do trenowania modelu. Należy traktować to jako niepotwierdzone\u002Fnieujawnione.","2025-12-18",[],"Google MedASR to open-source’owy model ASR do medycznej dyktacji, oparty na architekturze Conformer. Oficjalna karta modelu podaje 105M parametrów, utworzenie modelu 18 grudnia 2025, lokalne użycie przez Transformers oraz licencję\u002Fwarunki Health AI Developer Foundations. Katalog Aixploria wskazuje 5 000 godzin zanonimizowanych danych medycznych, zakres obejmujący radiologię i medycynę wewnętrzną oraz ocenę 4.6\u002F5. W dostarczonych źródłach brak wiarygodnych danych o cenach, regionie danych, RODO\u002FGDPR, API jako usłudze oraz wsparciu języka polskiego.","Brak publicznie potwierdzonych informacji o regionie przechowywania danych i certyfikowanej zgodności GDPR\u002FRODO w dostarczonych źródłach. Model ma być używany po walidacji i adaptacji; wyniki nie powinny bezpośrednio wpływać na decyzje kliniczne.","tak","Open-source model Google do wysokiej jakości medycznej dyktacji i rozpoznawania mowy.",[797,355,766,798],"Local","Transformers (Python)",[800,801,802,803,804,805,806],"deweloperzy w ochronie zdrowia","nauki o życiu","badacze","zespoły budujące aplikacje medyczne","Medical professionals","Researchers in healthcare AI","Developers building medical speech applications",[808,809,810,811,812,813,814,815,816],"dyktowanie radiologiczne","dyktowanie medyczne","speech-to-text dla aplikacji healthcare","fine-tuning na własnych danych","integracja z modelami tekstowymi w workflow medycznym","Transcribing physician-patient conversations","Automating medical report generation","Supporting radiology documentation","Internal medicine clinical documentation","Google","published","2026-08-12T18:20:23.598Z",[821,822,823],"MedGemma","Whisper","Speech-to-text modele medyczne podobnej klasy",{"checked_at":819,"ready":413,"failed":825},[],"Specjalistyczne narzędzie do rozpoznawania mowy w kontekście medycznym","```markdown\n# **Google MedASR – Otwartoźródłowy Model do Medycznej Transkrypcji Mowy**\n\n**Google MedASR** to zaawansowany, open-source’owy model sztucznej inteligencji opracowany przez Google, przeznaczony do **wysokiej jakości rozpoznawania mowy (speech-to-text) w kontekście medycznym**. Narzędzie jest idealne dla profesjonalistów z branży zdrowotnej, którzy potrzebują precyzyjnej transkrypcji dyktowanych notatek, raportów radiologicznych czy dokumentacji lekarskiej.\n\n---\n\n## **Najważniejsze funkcje**\n\n1. **Specjalizacja w transkrypcji medycznej**\n   - Model został zoptymalizowany pod kątem **terminologii medycznej**, co minimalizuje błędy w rozpoznawaniu skomplikowanych nazw chorób, leków czy procedur.\n   - Idealny do **dyktowania radiologicznego** (np. opisów badań RTG, MRI) oraz ogólnej dokumentacji lekarskiej.\n\n2. **Zaawansowana architektura Conformer**\n   - Wykorzystuje **105 milionów parametrów** i architekturę **Conformer** (połączenie transformera z sieciami konwolucyjnymi), co zapewnia wysoką dokładność nawet przy złożonych wypowiedziach.\n   - Lepiej radzi sobie z **akcentami, szumami tła** i szybką mową niż klasyczne modele STT.\n\n3. **Proste wymagania techniczne**\n   - **Wejście**: Mono audio o częstotliwości **16 kHz** (format `int16 waveform`), co jest standardem w większości urządzeń rejestrujących.\n   - **Wyjście**: Tekst gotowy do dalszego przetwarzania (np. integracji z systemami EHR – *Electronic Health Records*).\n\n4. **Open-source i elastyczność**\n   - Dostępny na licencji otwartej, co pozwala na **dostosowanie modelu do specyficznych potrzeb** (np. trenowanie na lokalnych danych szpitalnych).\n   - Możliwość uruchomienia **lokalnie** (bez konieczności korzystania z chmury), co jest kluczowe dla ochrony danych pacjentów (RODO\u002FHIPAA).\n\n5. **Integracja z aplikacjami healthcare**\n   - Może być wbudowany w **systemy dokumentacji medycznej**, oprogramowanie dla radiologów czy platformy telemedyczne.\n\n---\n\n## **Dla kogo jest Google MedASR?**\n\n- **Lekarze i specjaliści medyczni** – przyspieszenie tworzenia dokumentacji (np. notatek z wizyt, skierowań).\n- **Radiolodzy** – automatyczne generowanie opisów badań obrazowych (USG, CT, MRI).\n- **Szpitale i kliniki** – integracja z systemami **EHR\u002FEMR** (elektroniczna dokumentacja medyczna).\n- **Deweloperzy oprogramowania medycznego** – wbudowanie funkcji STT w aplikacje dla sektora healthcare.\n- **Badacze i naukowcy** – możliwość modyfikacji modelu pod konkretne projekty (np. analiza mowy pacjentów z zaburzeniami neurologicznymi).\n\n---\n\n## **Cena**\n\n- **Bezpłatny i open-source**: Według dostępnych danych (m.in. listing na [Aixploria](https:\u002F\u002Fwww.aixploria.com\u002F)), **Google MedASR nie ma płatnych planów** – jest udostępniany jako projekt otwartoźródłowy.\n- **Koszt własny**: Jedynym wydatkiem może być **infrastruktura serwerowa** (jeśli model uruchamiany jest lokalnie w dużych instytucjach) lub koszt dostosowania modelu przez zespół IT.\n\n---\n\n## **Zalety i wady**\n\n### ✅ **Zalety**\n1. **Wysoka specjalizacja medyczna** – lepsze rozpoznawanie terminów niż ogólne modele STT (np. Google Speech-to-Text).\n2. **Otwartość i dostępność** – brak opłat licencyjnych, możliwość modyfikacji kodu.\n3. **Lokalne przetwarzanie** – zwiększa bezpieczeństwo danych wrażliwych (brak konieczności przesyłania nagrań do chmury).\n\n### ❌ **Wady**\n1. **Wymaga wiedzy technicznej** – konieczność samodzielnego wdrożenia (brak \"gotowego\" interfejsu dla użytkowników końcowych).\n2. **Ograniczone wsparcie** – jako projekt open-source, nie ma gwarancji pomocy technicznej od Google (w przeciwieństwie do komercyjnych rozwiązań).\n3. **Zależność od jakości audio** – słabej jakości nagrania (np. z hałasem) mogą obniżać dokładność transkrypcji.\n\n---\n\n## **Werdykt: Czy warto?**\n\n**Google MedASR to jedno z najlepszych rozwiązań dla instytucji medycznych, które potrzebują precyzyjnej, lokalnej transkrypcji mowy** – szczególnie jeśli zależy im na **ochronie danych i dostosowaniu modelu do własnych potrzeb**. Jednak dla małych gabinetów czy użytkowników bez wsparcia IT może okazać się zbyt skomplikowany w implementacji. **Jeśli masz zasoby do wdrożenia – zdecydowanie warto wypróbować.**\n```",{"source_page_url":306,"final_url":306,"fetched_at":408},{"alternatives_count":186,"active_deals":186},[],[],{"data":833},[834,845,853,861,869,877,884,892,900,908,916,923,930,937,944,950,957,964,971,977,984,990,995,1001,1008,1015,1022,1030,1037,1044,1051,1058,1065,1073,1080,1086,1093,1101,1108,1116,1124,1132,1137,1144,1152,1159,1166,1173,1181,1188,1196,1204,1211,1217,1224,1231,1238,1245,1251,1257,1265,1273,1278,1285,1292,1298,1306,1313,1320,1327,1334,1342,1349,1356,1363,1370,1377,1385,1390,1395,1402,1409,1417,1424,1431,1436,1443,1450,1455,1462,1467,1474,1481,1488,1492,1499,1506,1512,1517,1525],{"id":835,"type":836,"title":837,"body":838,"tool_name":839,"z2u_price":840,"z2u_url":841,"status":842,"read_at":843,"created_at":844},812,"price_drop","💰 Inspire Sales Academy — spadek ceny","Platforma: Dealify | Kategoria: Sales & Marketing | Cena: €223.95 (regular: €559.95) | Rabat: 60%","Inspire Sales Academy",223.95,"https:\u002F\u002Fdealify.com\u002Fproducts\u002Finspire-sales-academy","unread",null,"2026-09-25T04:15:23.812Z",{"id":846,"type":836,"title":847,"body":848,"tool_name":849,"z2u_price":850,"z2u_url":851,"status":842,"read_at":843,"created_at":852},811,"💰 Transcript Generator — spadek ceny","Platforma: Dealify | Kategoria: Productivity | Cena: €65.95 (regular: €649.95) | Rabat: 90%","Transcript Generator",65.95,"https:\u002F\u002Fdealify.com\u002Fproducts\u002Ftranscript-generator","2026-09-25T04:15:15.988Z",{"id":854,"type":836,"title":855,"body":856,"tool_name":857,"z2u_price":858,"z2u_url":859,"status":842,"read_at":843,"created_at":860},810,"💰 FlashBooks — spadek ceny","Platforma: Dealify | Kategoria: Productivity | Cena: €279.95 (regular: €1949.95) | Rabat: 86%","FlashBooks",279.95,"https:\u002F\u002Fdealify.com\u002Fproducts\u002Fflashbooks","2026-09-25T04:15:14.639Z",{"id":862,"type":836,"title":863,"body":864,"tool_name":865,"z2u_price":866,"z2u_url":867,"status":842,"read_at":843,"created_at":868},809,"💰 Vital Tech Results Bundle — spadek ceny","Platforma: Dealify | Kategoria: Business | Cena: €168.95 (regular: €605.95) | Rabat: 72%","Vital Tech Results Bundle",168.95,"https:\u002F\u002Fdealify.com\u002Fproducts\u002Fvital-tech-results-bundle","2026-09-25T04:15:12.539Z",{"id":870,"type":836,"title":871,"body":872,"tool_name":873,"z2u_price":874,"z2u_url":875,"status":842,"read_at":843,"created_at":876},808,"💰 Domain Monitor — spadek ceny","Platforma: Dealify | Kategoria: Developer Tools | Cena: €56.95 (regular: €671.95) | Rabat: 92%","Domain Monitor",56.95,"https:\u002F\u002Fdealify.com\u002Fproducts\u002Fdomain-monitor","2026-09-25T04:15:07.917Z",{"id":878,"type":836,"title":879,"body":880,"tool_name":881,"z2u_price":840,"z2u_url":882,"status":842,"read_at":843,"created_at":883},807,"💰 devActivity — spadek ceny","Platforma: Dealify | Kategoria: Developer Tools | Cena: €223.95 (regular: €1109.95) | Rabat: 80%","devActivity","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fdevactivity","2026-09-25T04:15:07.758Z",{"id":885,"type":836,"title":886,"body":887,"tool_name":888,"z2u_price":889,"z2u_url":890,"status":842,"read_at":843,"created_at":891},806,"💰 ViceForge — spadek ceny","Platforma: Dealify | Kategoria: AI | Cena: €86.95 (regular: €358.95) | Rabat: 76%","ViceForge",86.95,"https:\u002F\u002Fdealify.com\u002Fproducts\u002Fviceforge","2026-09-25T04:15:04.295Z",{"id":893,"type":836,"title":894,"body":895,"tool_name":896,"z2u_price":897,"z2u_url":898,"status":842,"read_at":843,"created_at":899},805,"💰 Copyseeker — spadek ceny","Platforma: Dealify | Kategoria: AI | Cena: €151.95 (regular: €504.95) | Rabat: 70%","Copyseeker",151.95,"https:\u002F\u002Fdealify.com\u002Fproducts\u002Fcopyseeker","2026-09-25T04:15:04.151Z",{"id":901,"type":836,"title":902,"body":903,"tool_name":904,"z2u_price":905,"z2u_url":906,"status":842,"read_at":843,"created_at":907},804,"💰 Zenith Write — spadek ceny","Platforma: Dealify | Kategoria: AI | Cena: €66.95 (regular: €661.95) | Rabat: 90%","Zenith Write",66.95,"https:\u002F\u002Fdealify.com\u002Fproducts\u002Fzenith-write","2026-09-25T04:15:03.994Z",{"id":909,"type":836,"title":910,"body":911,"tool_name":912,"z2u_price":913,"z2u_url":914,"status":842,"read_at":843,"created_at":915},803,"💰 SenderStack — spadek ceny","Platforma: Dealify | Kategoria: AI | Cena: €77.95 (regular: €223.95) | Rabat: 65%","SenderStack",77.95,"https:\u002F\u002Fdealify.com\u002Fproducts\u002Fsenderstack","2026-09-25T04:15:03.749Z",{"id":917,"type":836,"title":918,"body":919,"tool_name":920,"z2u_price":905,"z2u_url":921,"status":842,"read_at":843,"created_at":922},802,"💰 AI Mentions — spadek ceny","Platforma: Dealify | Kategoria: AI | Cena: €66.95 (regular: €110.95) | Rabat: 40%","AI Mentions","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fai-mentions","2026-09-25T04:15:03.309Z",{"id":924,"type":836,"title":925,"body":926,"tool_name":927,"z2u_price":858,"z2u_url":928,"status":842,"read_at":843,"created_at":929},801,"💰 Architecto — spadek ceny","Platforma: Dealify | Kategoria: AI | Cena: €279.95 (regular: €941.95) | Rabat: 70%","Architecto","https:\u002F\u002Fdealify.com\u002Fproducts\u002Farchitecto","2026-09-25T04:15:03.066Z",{"id":931,"type":836,"title":932,"body":933,"tool_name":934,"z2u_price":913,"z2u_url":935,"status":842,"read_at":843,"created_at":936},800,"💰 MegaTranscript — spadek ceny","Platforma: Dealify | Kategoria: AI | Cena: €77.95 (regular: €773.95) | Rabat: 90%","MegaTranscript","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fmegatranscript","2026-09-25T04:15:02.929Z",{"id":938,"type":836,"title":939,"body":940,"tool_name":941,"z2u_price":905,"z2u_url":942,"status":842,"read_at":843,"created_at":943},799,"💰 Open eLMS Learning Generator — spadek ceny","Platforma: Dealify | Kategoria: AI | Cena: €66.95 (regular: €284.95) | Rabat: 77%","Open eLMS Learning Generator","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fopen-elms","2026-09-25T04:15:02.771Z",{"id":945,"type":836,"title":946,"body":903,"tool_name":947,"z2u_price":905,"z2u_url":948,"status":842,"read_at":843,"created_at":949},798,"💰 Agentica — spadek ceny","Agentica","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fagentica","2026-09-25T04:15:02.619Z",{"id":951,"type":836,"title":952,"body":953,"tool_name":954,"z2u_price":913,"z2u_url":955,"status":842,"read_at":843,"created_at":956},797,"💰 WinnerAdSpy — spadek ceny","Platforma: Dealify | Kategoria: Sales & Marketing | Cena: €77.95 (regular: €278.95) | Rabat: 72%","WinnerAdSpy","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fwinneradspy","2026-09-24T04:15:26.545Z",{"id":958,"type":836,"title":959,"body":960,"tool_name":961,"z2u_price":905,"z2u_url":962,"status":842,"read_at":843,"created_at":963},796,"💰 Vora — spadek ceny","Platforma: Dealify | Kategoria: Sales & Marketing | Cena: €66.95 (regular: €660.95) | Rabat: 90%","Vora","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fvora","2026-09-24T04:15:26.413Z",{"id":965,"type":836,"title":966,"body":967,"tool_name":968,"z2u_price":874,"z2u_url":969,"status":842,"read_at":843,"created_at":970},795,"💰 ShareLinkPro — spadek ceny","Platforma: Dealify | Kategoria: Sales & Marketing | Cena: €56.95 (regular: €223.95) | Rabat: 75%","ShareLinkPro","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fsharelinkpro","2026-09-24T04:15:26.276Z",{"id":972,"type":836,"title":973,"body":960,"tool_name":974,"z2u_price":905,"z2u_url":975,"status":842,"read_at":843,"created_at":976},794,"💰 Seamless QR Code — spadek ceny","Seamless QR Code","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fseamless-qr-code","2026-09-24T04:15:26.144Z",{"id":978,"type":836,"title":979,"body":980,"tool_name":981,"z2u_price":913,"z2u_url":982,"status":842,"read_at":843,"created_at":983},793,"💰 Newsletterly — spadek ceny","Platforma: Dealify | Kategoria: Sales & Marketing | Cena: €77.95 (regular: €772.95) | Rabat: 90%","Newsletterly","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fnewsletterly","2026-09-24T04:15:25.712Z",{"id":985,"type":836,"title":986,"body":980,"tool_name":987,"z2u_price":913,"z2u_url":988,"status":842,"read_at":843,"created_at":989},792,"💰 ListsGenie — spadek ceny","ListsGenie","https:\u002F\u002Fdealify.com\u002Fproducts\u002Flistsgenie","2026-09-24T04:15:25.476Z",{"id":991,"type":836,"title":837,"body":992,"tool_name":839,"z2u_price":993,"z2u_url":841,"status":842,"read_at":843,"created_at":994},791,"Platforma: Dealify | Kategoria: Sales & Marketing | Cena: €222.95 (regular: €558.95) | Rabat: 60%",222.95,"2026-09-24T04:15:25.229Z",{"id":996,"type":836,"title":997,"body":980,"tool_name":998,"z2u_price":913,"z2u_url":999,"status":842,"read_at":843,"created_at":1000},790,"💰 Glanc AI — spadek ceny","Glanc AI","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fglanc-ai","2026-09-24T04:15:24.997Z",{"id":1002,"type":836,"title":1003,"body":1004,"tool_name":1005,"z2u_price":913,"z2u_url":1006,"status":842,"read_at":843,"created_at":1007},789,"💰 EasySendy — spadek ceny","Platforma: Dealify | Kategoria: Sales & Marketing | Cena: €77.95 (regular: €638.95) | Rabat: 88%","EasySendy","https:\u002F\u002Fdealify.com\u002Fproducts\u002Feasysendy","2026-09-24T04:15:24.761Z",{"id":1009,"type":836,"title":1010,"body":1011,"tool_name":1012,"z2u_price":905,"z2u_url":1013,"status":842,"read_at":843,"created_at":1014},788,"💰 OnChat — spadek ceny","Platforma: Dealify | Kategoria: E-commerce | Cena: €66.95 (regular: €660.95) | Rabat: 90%","OnChat","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fonchat","2026-09-24T04:15:22.662Z",{"id":1016,"type":836,"title":1017,"body":1018,"tool_name":1019,"z2u_price":905,"z2u_url":1020,"status":842,"read_at":843,"created_at":1021},787,"💰 Helpmate — spadek ceny","Platforma: Dealify | Kategoria: E-commerce | Cena: €66.95 (regular: €99.95) | Rabat: 33%","Helpmate","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fhelpmate","2026-09-24T04:15:22.408Z",{"id":1023,"type":836,"title":1024,"body":1025,"tool_name":1026,"z2u_price":1027,"z2u_url":1028,"status":842,"read_at":843,"created_at":1029},786,"💰 Scramble Cloud — spadek ceny","Platforma: Dealify | Kategoria: Cloud | Cena: €144.95 (regular: €334.95) | Rabat: 57%","Scramble Cloud",144.95,"https:\u002F\u002Fdealify.com\u002Fproducts\u002Fscramble-cloud","2026-09-24T04:15:19.193Z",{"id":1031,"type":836,"title":1032,"body":1033,"tool_name":1034,"z2u_price":905,"z2u_url":1035,"status":842,"read_at":843,"created_at":1036},785,"💰 Playix.cloud — spadek ceny","Platforma: Dealify | Kategoria: Cloud | Cena: €66.95 (regular: €660.95) | Rabat: 90%","Playix.cloud","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fplayix-cloud","2026-09-24T04:15:19.054Z",{"id":1038,"type":836,"title":1039,"body":1040,"tool_name":1041,"z2u_price":905,"z2u_url":1042,"status":842,"read_at":843,"created_at":1043},784,"💰 Purple Photo — spadek ceny","Platforma: Dealify | Kategoria: Creative | Cena: €66.95 (regular: €88.95) | Rabat: 25%","Purple Photo","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fpurple-photo","2026-09-24T04:15:17.103Z",{"id":1045,"type":836,"title":1046,"body":1047,"tool_name":1048,"z2u_price":905,"z2u_url":1049,"status":842,"read_at":843,"created_at":1050},783,"💰 CursorClip — spadek ceny","Platforma: Dealify | Kategoria: Creative | Cena: €66.95 (regular: €108.95) | Rabat: 39%","CursorClip","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fcursorclip","2026-09-24T04:15:16.869Z",{"id":1052,"type":836,"title":1053,"body":1054,"tool_name":1055,"z2u_price":905,"z2u_url":1056,"status":842,"read_at":843,"created_at":1057},782,"💰 Creatiyo — spadek ceny","Platforma: Dealify | Kategoria: Creative | Cena: €66.95 (regular: €222.95) | Rabat: 70%","Creatiyo","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fcreatiyo","2026-09-24T04:15:16.732Z",{"id":1059,"type":836,"title":1060,"body":1061,"tool_name":1062,"z2u_price":905,"z2u_url":1063,"status":842,"read_at":843,"created_at":1064},781,"💰 Blupry Bundle — spadek ceny","Platforma: Dealify | Kategoria: Creative | Cena: €66.95 (regular: €254.95) | Rabat: 74%","Blupry Bundle","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fblupry","2026-09-24T04:15:16.599Z",{"id":1066,"type":836,"title":1067,"body":1068,"tool_name":1069,"z2u_price":1070,"z2u_url":1071,"status":842,"read_at":843,"created_at":1072},780,"💰 Al Webcam Effects — spadek ceny","Platforma: Dealify | Kategoria: Creative | Cena: €133.95 (regular: €1118.95) | Rabat: 88%","Al Webcam Effects",133.95,"https:\u002F\u002Fdealify.com\u002Fproducts\u002Fal-webcam-effects","2026-09-24T04:15:16.453Z",{"id":1074,"type":836,"title":1075,"body":1076,"tool_name":1077,"z2u_price":905,"z2u_url":1078,"status":842,"read_at":843,"created_at":1079},779,"💰 Vocal — spadek ceny","Platforma: Dealify | Kategoria: Productivity | Cena: €66.95 (regular: €660.95) | Rabat: 90%","Vocal","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fvocal","2026-09-24T04:15:14.748Z",{"id":1081,"type":836,"title":1082,"body":1076,"tool_name":1083,"z2u_price":905,"z2u_url":1084,"status":842,"read_at":843,"created_at":1085},778,"💰 Vimageo — spadek ceny","Vimageo","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fvimageo","2026-09-24T04:15:14.609Z",{"id":1087,"type":836,"title":1088,"body":1089,"tool_name":1090,"z2u_price":913,"z2u_url":1091,"status":842,"read_at":843,"created_at":1092},777,"💰 UPDF — spadek ceny","Platforma: Dealify | Kategoria: Productivity | Cena: €77.95 (regular: €123.95) | Rabat: 37%","UPDF","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fupdf","2026-09-24T04:15:14.250Z",{"id":1094,"type":836,"title":1095,"body":1096,"tool_name":1097,"z2u_price":1098,"z2u_url":1099,"status":842,"read_at":843,"created_at":1100},776,"💰 SwifDoo PDF — spadek ceny","Platforma: Dealify | Kategoria: Productivity | Cena: €67.95 (regular: €712.95) | Rabat: 90%","SwifDoo PDF",67.95,"https:\u002F\u002Fdealify.com\u002Fproducts\u002Fswifdoo-pdf","2026-09-24T04:15:14.010Z",{"id":1102,"type":836,"title":1103,"body":1104,"tool_name":1105,"z2u_price":913,"z2u_url":1106,"status":842,"read_at":843,"created_at":1107},775,"💰 PhotoKit — spadek ceny","Platforma: Dealify | Kategoria: Productivity | Cena: €77.95 (regular: €144.95) | Rabat: 46%","PhotoKit","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fphotokit","2026-09-24T04:15:13.469Z",{"id":1109,"type":836,"title":1110,"body":1111,"tool_name":1112,"z2u_price":1113,"z2u_url":1114,"status":842,"read_at":843,"created_at":1115},774,"💰 PasswordLink — spadek ceny","Platforma: Dealify | Kategoria: Productivity | Cena: €112.95 (regular: €894.95) | Rabat: 87%","PasswordLink",112.95,"https:\u002F\u002Fdealify.com\u002Fproducts\u002Fpasswordlink","2026-09-24T04:15:13.229Z",{"id":1117,"type":836,"title":1118,"body":1119,"tool_name":1120,"z2u_price":1121,"z2u_url":1122,"status":842,"read_at":843,"created_at":1123},773,"💰 LightPDF — spadek ceny","Platforma: Dealify | Kategoria: Productivity | Cena: €116.95 (regular: €222.95) | Rabat: 48%","LightPDF",116.95,"https:\u002F\u002Fdealify.com\u002Fproducts\u002Flightpdf","2026-09-24T04:15:12.888Z",{"id":1125,"type":836,"title":1126,"body":1127,"tool_name":1128,"z2u_price":1129,"z2u_url":1130,"status":842,"read_at":843,"created_at":1131},772,"💰 International Open Academy — spadek ceny","Platforma: Dealify | Kategoria: Productivity | Cena: €200.95 (regular: €446.95) | Rabat: 55%","International Open Academy",200.95,"https:\u002F\u002Fdealify.com\u002Fproducts\u002Finternational-open-academy","2026-09-24T04:15:12.747Z",{"id":1133,"type":836,"title":855,"body":1134,"tool_name":857,"z2u_price":1135,"z2u_url":859,"status":842,"read_at":843,"created_at":1136},771,"Platforma: Dealify | Kategoria: Productivity | Cena: €278.95 (regular: €1948.95) | Rabat: 86%",278.95,"2026-09-24T04:15:12.613Z",{"id":1138,"type":836,"title":1139,"body":1140,"tool_name":1141,"z2u_price":913,"z2u_url":1142,"status":842,"read_at":843,"created_at":1143},770,"💰 Ebookany — spadek ceny","Platforma: Dealify | Kategoria: Productivity | Cena: €77.95 (regular: €166.95) | Rabat: 53%","Ebookany","https:\u002F\u002Fdealify.com\u002Fproducts\u002Febookany","2026-09-24T04:15:12.481Z",{"id":1145,"type":836,"title":1146,"body":1147,"tool_name":1148,"z2u_price":1149,"z2u_url":1150,"status":842,"read_at":843,"created_at":1151},769,"💰 Envoice — spadek ceny","Platforma: Dealify | Kategoria: Business | Cena: €155.95 (regular: €1556.95) | Rabat: 90%","Envoice",155.95,"https:\u002F\u002Fdealify.com\u002Fproducts\u002Fenvoice","2026-09-24T04:15:10.301Z",{"id":1153,"type":836,"title":1154,"body":1155,"tool_name":1156,"z2u_price":905,"z2u_url":1157,"status":842,"read_at":843,"created_at":1158},768,"💰 Classified Billing — spadek ceny","Platforma: Dealify | Kategoria: Business | Cena: €66.95 (regular: €660.95) | Rabat: 90%","Classified Billing","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fclassified-billing","2026-09-24T04:15:10.167Z",{"id":1160,"type":836,"title":1161,"body":1162,"tool_name":1163,"z2u_price":913,"z2u_url":1164,"status":842,"read_at":843,"created_at":1165},767,"💰 Sterling Stock Picker — spadek ceny","Platforma: Dealify | Kategoria: Business | Cena: €77.95 (regular: €272.95) | Rabat: 71%","Sterling Stock Picker","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fsterling-stock-picker","2026-09-24T04:15:09.931Z",{"id":1167,"type":836,"title":1168,"body":1169,"tool_name":1170,"z2u_price":913,"z2u_url":1171,"status":842,"read_at":843,"created_at":1172},766,"💰 AI Vizologi — spadek ceny","Platforma: Dealify | Kategoria: Business | Cena: €77.95 (regular: €765.95) | Rabat: 90%","AI Vizologi","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fai-vizologi","2026-09-24T04:15:09.786Z",{"id":1174,"type":836,"title":1175,"body":1176,"tool_name":1177,"z2u_price":1178,"z2u_url":1179,"status":842,"read_at":843,"created_at":1180},765,"💰 Paddle CRM — spadek ceny","Platforma: Dealify | Kategoria: Business | Cena: €332.95 (regular: €3325.95) | Rabat: 90%","Paddle CRM",332.95,"https:\u002F\u002Fdealify.com\u002Fproducts\u002Fpaddle-crm","2026-09-24T04:15:09.546Z",{"id":1182,"type":836,"title":1183,"body":1184,"tool_name":1185,"z2u_price":913,"z2u_url":1186,"status":842,"read_at":843,"created_at":1187},764,"💰 IdeaBuddy — spadek ceny","Platforma: Dealify | Kategoria: Business | Cena: €77.95 (regular: €1612.95) | Rabat: 95%","IdeaBuddy","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fideabuddy","2026-09-24T04:15:09.277Z",{"id":1189,"type":836,"title":1190,"body":1191,"tool_name":1192,"z2u_price":1193,"z2u_url":1194,"status":842,"read_at":843,"created_at":1195},763,"💰 LeadLocator — spadek ceny","Platforma: Dealify | Kategoria: Business | Cena: €189.95 (regular: €1892.95) | Rabat: 90%","LeadLocator",189.95,"https:\u002F\u002Fdealify.com\u002Fproducts\u002Fleadlocator","2026-09-24T04:15:09.140Z",{"id":1197,"type":836,"title":1198,"body":1199,"tool_name":1200,"z2u_price":1201,"z2u_url":1202,"status":842,"read_at":843,"created_at":1203},762,"💰 Sociosight — spadek ceny","Platforma: Dealify | Kategoria: Social Media | Cena: €75.95 (regular: €106.95) | Rabat: 29%","Sociosight",75.95,"https:\u002F\u002Fdealify.com\u002Fproducts\u002Fsociosight","2026-09-24T04:15:07.493Z",{"id":1205,"type":836,"title":1206,"body":1207,"tool_name":1208,"z2u_price":905,"z2u_url":1209,"status":842,"read_at":843,"created_at":1210},761,"💰 Qura Al — spadek ceny","Platforma: Dealify | Kategoria: Social Media | Cena: €66.95 (regular: €660.95) | Rabat: 90%","Qura Al","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fqura-al","2026-09-24T04:15:07.351Z",{"id":1212,"type":836,"title":1213,"body":1207,"tool_name":1214,"z2u_price":905,"z2u_url":1215,"status":842,"read_at":843,"created_at":1216},760,"💰 Brand2Social — spadek ceny","Brand2Social","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fbrand2social","2026-09-24T04:15:07.111Z",{"id":1218,"type":836,"title":1219,"body":1220,"tool_name":1221,"z2u_price":905,"z2u_url":1222,"status":842,"read_at":843,"created_at":1223},759,"💰 WP Website Speedy — spadek ceny","Platforma: Dealify | Kategoria: SEO | Cena: €66.95 (regular: €660.95) | Rabat: 90%","WP Website Speedy","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fwebsite-speedy","2026-09-24T04:15:04.647Z",{"id":1225,"type":836,"title":1226,"body":1227,"tool_name":1228,"z2u_price":913,"z2u_url":1229,"status":842,"read_at":843,"created_at":1230},758,"💰 Screpy — spadek ceny","Platforma: Dealify | Kategoria: SEO | Cena: €77.95 (regular: €503.95) | Rabat: 85%","Screpy","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fscrepy","2026-09-24T04:15:04.399Z",{"id":1232,"type":836,"title":1233,"body":1234,"tool_name":1235,"z2u_price":905,"z2u_url":1236,"status":842,"read_at":843,"created_at":1237},757,"💰 LocalAuditPro — spadek ceny","Platforma: Dealify | Kategoria: SEO | Cena: €66.95 (regular: €358.95) | Rabat: 81%","LocalAuditPro","https:\u002F\u002Fdealify.com\u002Fproducts\u002Flocalauditpro","2026-09-24T04:15:04.244Z",{"id":1239,"type":836,"title":1240,"body":1241,"tool_name":1242,"z2u_price":913,"z2u_url":1243,"status":842,"read_at":843,"created_at":1244},756,"💰 Labrika — spadek ceny","Platforma: Dealify | Kategoria: SEO | Cena: €77.95 (regular: €765.95) | Rabat: 90%","Labrika","https:\u002F\u002Fdealify.com\u002Fproducts\u002Flabrika","2026-09-24T04:15:04.098Z",{"id":1246,"type":836,"title":1247,"body":1220,"tool_name":1248,"z2u_price":905,"z2u_url":1249,"status":842,"read_at":843,"created_at":1250},755,"💰 360contentOPS — spadek ceny","360contentOPS","https:\u002F\u002Fdealify.com\u002Fproducts\u002F360contentops","2026-09-24T04:15:03.650Z",{"id":1252,"type":1253,"title":1254,"body":1255,"tool_name":961,"z2u_price":850,"z2u_url":962,"status":842,"read_at":843,"created_at":1256},754,"new_tool_found","🆕 Vora — €65.95 (-90%)","Platforma: Dealify | Kategoria: Sales & Marketing | Cena: €65.95 (regular: €657.95) | Rabat: 90%","2026-09-23T04:15:26.007Z",{"id":1258,"type":836,"title":1259,"body":1260,"tool_name":1261,"z2u_price":1262,"z2u_url":1263,"status":842,"read_at":843,"created_at":1264},753,"💰 Poko Motion — spadek ceny","Platforma: Dealify | Kategoria: Sales & Marketing | Cena: €110.95 (regular: €1103.95) | Rabat: 90%","Poko Motion",110.95,"https:\u002F\u002Fdealify.com\u002Fproducts\u002Fpoko-motion","2026-09-23T04:15:25.471Z",{"id":1266,"type":836,"title":1267,"body":1268,"tool_name":1269,"z2u_price":1270,"z2u_url":1271,"status":842,"read_at":843,"created_at":1272},752,"💰 LinkFinder AI — spadek ceny","Platforma: Dealify | Kategoria: Sales & Marketing | Cena: €88.95 (regular: €880.95) | Rabat: 90%","LinkFinder AI",88.95,"https:\u002F\u002Fdealify.com\u002Fproducts\u002Flinkfinder-ai","2026-09-23T04:15:25.034Z",{"id":1274,"type":836,"title":837,"body":1275,"tool_name":839,"z2u_price":1276,"z2u_url":841,"status":842,"read_at":843,"created_at":1277},751,"Platforma: Dealify | Kategoria: Sales & Marketing | Cena: €221.95 (regular: €556.95) | Rabat: 60%",221.95,"2026-09-23T04:15:24.900Z",{"id":1279,"type":836,"title":1280,"body":1281,"tool_name":1282,"z2u_price":1262,"z2u_url":1283,"status":842,"read_at":843,"created_at":1284},750,"💰 HelloFeed — spadek ceny","Platforma: Dealify | Kategoria: Sales & Marketing | Cena: €110.95 (regular: €2621.95) | Rabat: 96%","HelloFeed","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fhellofeed","2026-09-23T04:15:24.761Z",{"id":1286,"type":836,"title":1287,"body":1288,"tool_name":1289,"z2u_price":1262,"z2u_url":1290,"status":842,"read_at":843,"created_at":1291},749,"💰 Formly — spadek ceny","Platforma: Dealify | Kategoria: Sales & Marketing | Cena: €110.95 (regular: €1616.95) | Rabat: 93%","Formly","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fformly","2026-09-23T04:15:24.475Z",{"id":1293,"type":836,"title":1294,"body":1268,"tool_name":1295,"z2u_price":1270,"z2u_url":1296,"status":842,"read_at":843,"created_at":1297},748,"💰 CopyMail Studio — spadek ceny","CopyMail Studio","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fcopymail","2026-09-23T04:15:24.237Z",{"id":1299,"type":836,"title":1300,"body":1301,"tool_name":1302,"z2u_price":1303,"z2u_url":1304,"status":842,"read_at":843,"created_at":1305},747,"💰 Contact Concert — spadek ceny","Platforma: Dealify | Kategoria: Sales & Marketing | Cena: €99.95 (regular: €992.95) | Rabat: 90%","Contact Concert",99.95,"https:\u002F\u002Fdealify.com\u002Fproducts\u002Fcontact-concert","2026-09-23T04:15:24.096Z",{"id":1307,"type":836,"title":1308,"body":1309,"tool_name":1310,"z2u_price":1270,"z2u_url":1311,"status":842,"read_at":843,"created_at":1312},746,"💰 Auto Affiliate Links — spadek ceny","Platforma: Dealify | Kategoria: Sales & Marketing | Cena: €88.95 (regular: €556.95) | Rabat: 84%","Auto Affiliate Links","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fauto-affiliate-links","2026-09-23T04:15:23.960Z",{"id":1314,"type":836,"title":1315,"body":1316,"tool_name":1317,"z2u_price":1262,"z2u_url":1318,"status":842,"read_at":843,"created_at":1319},745,"💰 7stamp — spadek ceny","Platforma: Dealify | Kategoria: Sales & Marketing | Cena: €110.95 (regular: €546.95) | Rabat: 80%","7stamp","https:\u002F\u002Fdealify.com\u002Fproducts\u002F7stamp","2026-09-23T04:15:23.827Z",{"id":1321,"type":836,"title":1322,"body":1323,"tool_name":1324,"z2u_price":1262,"z2u_url":1325,"status":842,"read_at":843,"created_at":1326},744,"💰 Syncaut — spadek ceny","Platforma: Dealify | Kategoria: E-commerce | Cena: €110.95 (regular: €1103.95) | Rabat: 90%","Syncaut","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fsyncaut","2026-09-23T04:15:22.377Z",{"id":1328,"type":836,"title":1329,"body":1330,"tool_name":1331,"z2u_price":1270,"z2u_url":1332,"status":842,"read_at":843,"created_at":1333},743,"💰 ImageConvertIt — spadek ceny","Platforma: Dealify | Kategoria: E-commerce | Cena: €88.95 (regular: €277.95) | Rabat: 68%","ImageConvertIt","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fimageconvertit","2026-09-23T04:15:22.139Z",{"id":1335,"type":836,"title":1336,"body":1337,"tool_name":1338,"z2u_price":1339,"z2u_url":1340,"status":842,"read_at":843,"created_at":1341},742,"💰 FileLu — spadek ceny","Platforma: Dealify | Kategoria: Cloud | Cena: €166.95 (regular: €390.95) | Rabat: 57%","FileLu",166.95,"https:\u002F\u002Fdealify.com\u002Fproducts\u002Ffilelu","2026-09-23T04:15:20.531Z",{"id":1343,"type":836,"title":1344,"body":1345,"tool_name":1346,"z2u_price":1270,"z2u_url":1347,"status":842,"read_at":843,"created_at":1348},741,"💰 AdCaddy — spadek ceny","Platforma: Dealify | Kategoria: Creative | Cena: €88.95 (regular: €222.95) | Rabat: 60%","AdCaddy","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fadcaddy","2026-09-23T04:15:18.600Z",{"id":1350,"type":836,"title":1351,"body":1352,"tool_name":1353,"z2u_price":1270,"z2u_url":1354,"status":842,"read_at":843,"created_at":1355},740,"💰 Xyncbox — spadek ceny","Platforma: Dealify | Kategoria: Productivity | Cena: €88.95 (regular: €454.95) | Rabat: 80%","Xyncbox","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fxyncbox","2026-09-23T04:15:17.304Z",{"id":1357,"type":836,"title":1358,"body":1359,"tool_name":1360,"z2u_price":1262,"z2u_url":1361,"status":842,"read_at":843,"created_at":1362},739,"💰 Upskillist — spadek ceny","Platforma: Dealify | Kategoria: Productivity | Cena: €110.95 (regular: €445.95) | Rabat: 75%","Upskillist","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fupskillist","2026-09-23T04:15:16.868Z",{"id":1364,"type":836,"title":1365,"body":1366,"tool_name":1367,"z2u_price":1303,"z2u_url":1368,"status":842,"read_at":843,"created_at":1369},738,"💰 Sheetany — spadek ceny","Platforma: Dealify | Kategoria: Productivity | Cena: €99.95 (regular: €387.95) | Rabat: 74%","Sheetany","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fsheetany","2026-09-23T04:15:16.328Z",{"id":1371,"type":836,"title":1372,"body":1373,"tool_name":1374,"z2u_price":1262,"z2u_url":1375,"status":842,"read_at":843,"created_at":1376},737,"💰 ResumeFromSpace — spadek ceny","Platforma: Dealify | Kategoria: Productivity | Cena: €110.95 (regular: €267.95) | Rabat: 59%","ResumeFromSpace","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fresumefromspace","2026-09-23T04:15:16.189Z",{"id":1378,"type":836,"title":1379,"body":1380,"tool_name":1381,"z2u_price":1382,"z2u_url":1383,"status":842,"read_at":843,"created_at":1384},736,"💰 PDF Expert — spadek ceny","Platforma: Dealify | Kategoria: Productivity | Cena: €89.95 (regular: €156.95) | Rabat: 43%","PDF Expert",89.95,"https:\u002F\u002Fdealify.com\u002Fproducts\u002Fpdf-expert","2026-09-23T04:15:15.852Z",{"id":1386,"type":836,"title":1126,"body":1387,"tool_name":1128,"z2u_price":1388,"z2u_url":1130,"status":842,"read_at":843,"created_at":1389},735,"Platforma: Dealify | Kategoria: Productivity | Cena: €199.95 (regular: €444.95) | Rabat: 55%",199.95,"2026-09-23T04:15:15.315Z",{"id":1391,"type":836,"title":855,"body":1392,"tool_name":857,"z2u_price":1393,"z2u_url":859,"status":842,"read_at":843,"created_at":1394},734,"Platforma: Dealify | Kategoria: Productivity | Cena: €277.95 (regular: €1939.95) | Rabat: 86%",277.95,"2026-09-23T04:15:15.177Z",{"id":1396,"type":836,"title":1397,"body":1398,"tool_name":1399,"z2u_price":1262,"z2u_url":1400,"status":842,"read_at":843,"created_at":1401},733,"💰 boundrees — spadek ceny","Platforma: Dealify | Kategoria: Productivity | Cena: €110.95 (regular: €601.95) | Rabat: 82%","boundrees","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fboundrees","2026-09-23T04:15:14.939Z",{"id":1403,"type":836,"title":1404,"body":1405,"tool_name":1406,"z2u_price":1270,"z2u_url":1407,"status":842,"read_at":843,"created_at":1408},732,"💰 Backlsh — spadek ceny","Platforma: Dealify | Kategoria: Productivity | Cena: €88.95 (regular: €221.95) | Rabat: 60%","Backlsh","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fbacklsh","2026-09-23T04:15:14.808Z",{"id":1410,"type":836,"title":1411,"body":1412,"tool_name":1413,"z2u_price":1414,"z2u_url":1415,"status":842,"read_at":843,"created_at":1416},731,"💰 4K Bundle — spadek ceny","Platforma: Dealify | Kategoria: Productivity | Cena: €58.95 (regular: €78.95) | Rabat: 25%","4K Bundle",58.95,"https:\u002F\u002Fdealify.com\u002Fproducts\u002F4k-bundle","2026-09-23T04:15:14.565Z",{"id":1418,"type":836,"title":1419,"body":1420,"tool_name":1421,"z2u_price":1270,"z2u_url":1422,"status":842,"read_at":843,"created_at":1423},730,"💰 OmniSignal MCP — spadek ceny","Platforma: Dealify | Kategoria: Business | Cena: €88.95 (regular: €390.95) | Rabat: 77%","OmniSignal MCP","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fomnisignal-mcp","2026-09-23T04:15:13.216Z",{"id":1425,"type":836,"title":1426,"body":1427,"tool_name":1428,"z2u_price":1339,"z2u_url":1429,"status":842,"read_at":843,"created_at":1430},729,"💰 Mailgent — spadek ceny","Platforma: Dealify | Kategoria: Business | Cena: €166.95 (regular: €546.95) | Rabat: 69%","Mailgent","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fmailgent","2026-09-23T04:15:13.061Z",{"id":1432,"type":836,"title":863,"body":1433,"tool_name":865,"z2u_price":1434,"z2u_url":867,"status":842,"read_at":843,"created_at":1435},728,"Platforma: Dealify | Kategoria: Business | Cena: €167.95 (regular: €601.95) | Rabat: 72%",167.95,"2026-09-23T04:15:12.903Z",{"id":1437,"type":836,"title":1438,"body":1439,"tool_name":1440,"z2u_price":1339,"z2u_url":1441,"status":842,"read_at":843,"created_at":1442},727,"💰 Video Service Desk — spadek ceny","Platforma: Dealify | Kategoria: Business | Cena: €166.95 (regular: €3327.95) | Rabat: 95%","Video Service Desk","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fvideo-service-desk","2026-09-23T04:15:12.755Z",{"id":1444,"type":836,"title":1445,"body":1446,"tool_name":1447,"z2u_price":1262,"z2u_url":1448,"status":842,"read_at":843,"created_at":1449},726,"💰 ZenCall — spadek ceny","Platforma: Dealify | Kategoria: Business | Cena: €110.95 (regular: €166.95) | Rabat: 34%","ZenCall","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fzencall","2026-09-23T04:15:12.113Z",{"id":1451,"type":836,"title":1175,"body":1452,"tool_name":1177,"z2u_price":1453,"z2u_url":1179,"status":842,"read_at":843,"created_at":1454},725,"Platforma: Dealify | Kategoria: Business | Cena: €331.95 (regular: €3310.95) | Rabat: 90%",331.95,"2026-09-23T04:15:11.975Z",{"id":1456,"type":836,"title":1457,"body":1458,"tool_name":1459,"z2u_price":1270,"z2u_url":1460,"status":842,"read_at":843,"created_at":1461},724,"💰 MyCoachingSoftware — spadek ceny","Platforma: Dealify | Kategoria: Business | Cena: €88.95 (regular: €880.95) | Rabat: 90%","MyCoachingSoftware","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fmycoachingsoftware","2026-09-23T04:15:11.841Z",{"id":1463,"type":836,"title":1190,"body":1464,"tool_name":1192,"z2u_price":1465,"z2u_url":1194,"status":842,"read_at":843,"created_at":1466},723,"Platforma: Dealify | Kategoria: Business | Cena: €188.95 (regular: €1883.95) | Rabat: 90%",188.95,"2026-09-23T04:15:11.604Z",{"id":1468,"type":836,"title":1469,"body":1470,"tool_name":1471,"z2u_price":1303,"z2u_url":1472,"status":842,"read_at":843,"created_at":1473},722,"💰 ZuckerBot — spadek ceny","Platforma: Dealify | Kategoria: Social Media | Cena: €99.95 (regular: €992.95) | Rabat: 90%","ZuckerBot","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fzuckerbot","2026-09-23T04:15:10.289Z",{"id":1475,"type":836,"title":1476,"body":1477,"tool_name":1478,"z2u_price":1339,"z2u_url":1479,"status":842,"read_at":843,"created_at":1480},721,"💰 Structa — spadek ceny","Platforma: Dealify | Kategoria: Developer Tools | Cena: €166.95 (regular: €333.95) | Rabat: 50%","Structa","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fstructa","2026-09-23T04:15:08.530Z",{"id":1482,"type":836,"title":1483,"body":1484,"tool_name":1485,"z2u_price":1339,"z2u_url":1486,"status":842,"read_at":843,"created_at":1487},720,"💰 N8Nitro — spadek ceny","Platforma: Dealify | Kategoria: Developer Tools | Cena: €166.95 (regular: €1337.95) | Rabat: 88%","N8Nitro","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fn8nitro","2026-09-23T04:15:08.275Z",{"id":1489,"type":836,"title":879,"body":1490,"tool_name":881,"z2u_price":1276,"z2u_url":882,"status":842,"read_at":843,"created_at":1491},719,"Platforma: Dealify | Kategoria: Developer Tools | Cena: €221.95 (regular: €1103.95) | Rabat: 80%","2026-09-23T04:15:07.826Z",{"id":1493,"type":836,"title":1494,"body":1495,"tool_name":1496,"z2u_price":1262,"z2u_url":1497,"status":842,"read_at":843,"created_at":1498},718,"💰 SeoReportMaster — spadek ceny","Platforma: Dealify | Kategoria: SEO | Cena: €110.95 (regular: €1103.95) | Rabat: 90%","SeoReportMaster","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fseoreportmaster","2026-09-23T04:15:06.392Z",{"id":1500,"type":836,"title":1501,"body":1502,"tool_name":1503,"z2u_price":1270,"z2u_url":1504,"status":842,"read_at":843,"created_at":1505},717,"💰 KPIKIT — spadek ceny","Platforma: Dealify | Kategoria: SEO | Cena: €88.95 (regular: €880.95) | Rabat: 90%","KPIKIT","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fkpikit","2026-09-23T04:15:05.951Z",{"id":1507,"type":836,"title":1508,"body":1495,"tool_name":1509,"z2u_price":1262,"z2u_url":1510,"status":842,"read_at":843,"created_at":1511},716,"💰 BacklinkScan — spadek ceny","BacklinkScan","https:\u002F\u002Fdealify.com\u002Fproducts\u002Fbacklinkscan","2026-09-23T04:15:05.712Z",{"id":1513,"type":836,"title":894,"body":1514,"tool_name":896,"z2u_price":1515,"z2u_url":898,"status":842,"read_at":843,"created_at":1516},715,"Platforma: Dealify | Kategoria: AI | Cena: €150.95 (regular: €501.95) | Rabat: 70%",150.95,"2026-09-23T04:15:04.111Z",{"id":1518,"type":836,"title":1519,"body":1520,"tool_name":1521,"z2u_price":1522,"z2u_url":1523,"status":842,"read_at":843,"created_at":1524},714,"💰 Reporposely — spadek ceny","Platforma: Dealify | Kategoria: AI | Cena: €119.95 (regular: €154.95) | Rabat: 23%","Reporposely",119.95,"https:\u002F\u002Fdealify.com\u002Fproducts\u002Freporposely","2026-09-23T04:15:03.855Z",{"id":1526,"type":836,"title":1527,"body":1528,"tool_name":1529,"z2u_price":1270,"z2u_url":1530,"status":842,"read_at":843,"created_at":1531},713,"💰 OneAir AI — spadek ceny","Platforma: Dealify | Kategoria: AI | Cena: €88.95 (regular: €880.95) | Rabat: 90%","OneAir AI","https:\u002F\u002Fdealify.com\u002Fproducts\u002Foneair","2026-09-23T04:15:03.578Z"]