Áudio
buzz
Buzz transcribes and translates audio offline on your personal computer. Powered by OpenAI's Whisper.
★ 21,8 mil estrelasMIT
Ver o guia →whats-reader é um projeto de áudio de código aberto de rodrigogs (rodrigogs/whats-reader no GitHub). Tem 272 estrelas no GitHub e 29 forks, é publicado sob a licença AGPL-3.0 e foi atualizado pela última vez no GitHub em 28 de setembro de 2026.
Browse WhatsApp chat exports offline, with AI voice transcription.
Use WhatsApp's built-in export to get a chat file.
Load the export into whats-reader.
AI converts voice messages to text locally.
Find anything fast with search and stats.
Browses WhatsApp exports with no internet needed.
AI-powered transcription of voice messages.
Your chats never leave your device.
Save key messages and find anything instantly.
See who talks most and when.
Web app plus desktop builds.
Download the source and move into the project folder.
git clone https://github.com/rodrigogs/whats-reader.git
cd whats-readerEvery 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 rodrigogs/whats-reader with 29 forks. Check the repo's contributors and recent commits to see how active maintenance is.
AGPL-3.0 licensed — you can use it, but network-facing derivatives must share source.
No — it is privacy-first and works offline.
Export a chat from WhatsApp, then load the export file in the app.
Yes — AI-powered voice transcription is a headline feature.
Buzz transcribes and translates audio offline on your personal computer. Powered by OpenAI's Whisper.
Faster Whisper transcription with CTranslate2
Port of OpenAI's Whisper model in C/C++
Self-hosted backend that gives ESP32 'Xiaozhi' devices streaming voice chat, memory and tool control.
Open source, offline voice-to-text for macOS.
100% private voice transcription for Android and iOS, on-device.
Os outros projetos de Áudio com mais estrelas no catálogo do LibreAI — a lista realista de alternativas se whats-reader 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++
Projetos de Áudio próximos no catálogo, os mais próximos em estrelas de whats-reader: continue explorando dos dois lados dele.
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Free and open source offline voice dictation for Windows, Linux, and macOS.
Capable AI keyboard for reliable speech transcription.
Self-hosted AI video analysis: summaries, chapters, transcripts.
Voice-to-text for the Linux terminal, from a hotkey.
Voice cloning inside Kokoro: natural multilingual speech, your voice.
Grátis e aberto: pegue o código-fonte, dê uma estrela no repositório e comece a criar.