Audio
Faster Whisper
Faster Whisper transcription with CTranslate2
★ 25,7 k étoilesMIT
Voir le guide →whisper.api est un projet de audio open source, créé par innovatorved (innovatorved/whisper.api sur GitHub). Il compte 914 étoiles sur GitHub et 38 forks, il est publié sous la licence MIT et a été mis à jour pour la dernière fois sur GitHub le 28 avril 2026.
A ready API for speech-to-text with per-user access control.
Host it on your own server or container.
Use the built-in user-level access control.
POST recordings and get transcripts back.
Preview the output on the hosted demo site first.
Fine-tuned Whisper model for accurate speech-to-text.
Supports multiple users with per-user controls.
Simple REST-style interface for any client.
Try it on the hosted site before self-hosting.
Designed to be stood up as a transcription service.
Free for personal and commercial use.
Download the source and move into the project folder.
git clone https://github.com/innovatorved/whisper.api.git
cd whisper.apiEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at innovatorved/whisper.api with 38 forks. Check the repo's contributors and recent commits to see how active maintenance is.
MIT licensed — commercial use allowed with attribution.
The API supports individual user accounts and per-user access control.
Yes — there is a live demo site to try before deploying.
Whisper runs best with a GPU, but smaller models can work on CPU — check the README.
Faster Whisper transcription with CTranslate2
Port of OpenAI's Whisper model in C/C++
Buzz transcribes and translates audio offline on your personal computer. Powered by OpenAI's Whisper.
gTTS — Python library and CLI that turns text into spoken mp3 via Google Translate's speech API
Self-hosted Whisper speech-to-text as a Docker image.
Use Microsoft Edge's online text-to-speech service from Python WITHOUT needing Microsoft Edge or Windows or an API key
Les autres projets de la catégorie Audio avec le plus d'étoiles du catalogue LibreAI — la sélection réaliste d'alternatives si whisper.api ne vous convient pas.
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Robust Speech Recognition via Large-Scale Weak Supervision
1 min voice data can also be used to train a good TTS model! (few shot voice cloning)
Clone a voice from 5 seconds of audio and generate arbitrary speech in real time
Port of OpenAI's Whisper model in C/C++
Projets de la catégorie Audio proches dans le catalogue, les plus proches en étoiles de whisper.api — continuez à explorer de part et d'autre.
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100% private voice transcription for Android and iOS, on-device.
Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.