Faster Whisper
Faster Whisper transcription with CTranslate2
whisper.api — проект с открытым исходным кодом из категории «Аудио» от innovatorved (innovatorved/whisper.api на GitHub). У него 914 звёзд на GitHub и 38 форков, он распространяется по лицензии MIT и последний раз обновлялся на GitHub 28 апреля 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
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Другие проекты из категории «Аудио» с наибольшим числом звёзд в каталоге LibreAI — реалистичный список альтернатив, если whisper.api вам не подходит.
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Соседние проекты из категории «Аудио» в каталоге, ближайшие по числу звёзд к whisper.api — продолжайте изучать полку по обе стороны от него.
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Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.