collabora/WhisperLive

Near-Realtime audio transcription using self-hosted Whisper and WebSocket in Python/JS

Whisper-Flow is a framework designed to enable real-time transcription of audio content using OpenAI’s Whisper model. Rather than processing entire files after upload (“batch mode”), Whisper-Flow accepts a continuous stream of audio chunks and produces incremental transcripts immediately.

Optimized Whisper models for streaming and on-device use

Real-time, local speech-to-text with streaming ASR, speaker diarization, translation, and OpenAI/Deepgram-compatible APIs.

Whispering Tiger - OpenAI's whisper (and other models) with OSC and Websocket support. Allowing live transcription / translation in VRChat and Overlays in most Streaming Applications

Pseudo Streaming SenseVoice with Hotwords

Build real time speech2text web apps using OpenAI's Whisper https://openai.com/blog/whisper/

ML-powered speech recognition directly in your browser

A robust, efficient, low-latency speech-to-text library with advanced voice activity detection, wake word activation and instant transcription.