Audio
Faster Whisper
Faster Whisper transcription with CTranslate2
★ 25,7 Tsd. SterneMIT
Anleitung ansehen →whisper.api ist ein Open-Source-Projekt aus der Kategorie Audio von innovatorved (innovatorved/whisper.api auf GitHub). Es hat 914 Sterne auf GitHub und 38 Forks, wird unter der Lizenz MIT veröffentlicht und wurde zuletzt am 28. April 2026 auf GitHub aktualisiert.
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
Die anderen Projekte der Kategorie Audio mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls whisper.api nicht das Richtige ist.
利用 AI 大模型和自动化工作流，根据主题或关键词一键生成高清短视频。Generate HD short videos from a topic or keyword with an automated AI workflow.
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++
Verwandte Projekte der Kategorie Audio im Katalog, die whisper.api bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
Official Vonage PHP SDK for SMS, voice, TTS, and 2FA APIs.
A macOS voice assistant that turns speech into actions and notes.
A Python voice assistant that runs system commands by voice.
Speech-to-text-to-speech for VRChat, VTubers, and streamers.
A speech-to-text server framework built on next-generation Kaldi.
100% private voice transcription for Android and iOS, on-device.
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.