Áudio
Faster Whisper
Faster Whisper transcription with CTranslate2
★ 25,7 mil estrelasMIT
Ver o guia →whisper.api é um projeto de áudio de código aberto de innovatorved (innovatorved/whisper.api no GitHub). Tem 914 estrelas no GitHub e 38 forks, é publicado sob a licença MIT e foi atualizado pela última vez no GitHub em 28 de abril de 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
Os outros projetos de Áudio com mais estrelas no catálogo do LibreAI — a lista realista de alternativas se whisper.api não for o ideal para você.
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++
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Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.