Audio
buzz
Buzz transcribes and translates audio offline on your personal computer. Powered by OpenAI's Whisper.
★ 21,8k estrellasMIT
Ver la guía →whats-reader es un proyecto de audio de código abierto de rodrigogs (rodrigogs/whats-reader en GitHub). Tiene 272 estrellas en GitHub y 29 bifurcaciones, se publica bajo la licencia AGPL-3.0 y se actualizó por última vez en GitHub el 28 de septiembre 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.
Los demás proyectos de Audio con más estrellas del catálogo de LibreAI: la lista realista de alternativas si whats-reader no es lo que buscas.
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++
Proyectos de Audio cercanos en el catálogo, los más próximos en estrellas a whats-reader: sigue explorando a ambos lados.
Live captions and AI meeting review from any system audio — local-first.
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.
Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.