collabora/WhisperLive

Health v2 · maintenance only

Adoption not part of the score

4311 stars · 603 forks observed · 2026-10-10

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

WhisperLive is a nearly-live speech-to-text application built on OpenAI's Whisper, serving real-time transcription over WebSocket and REST from microphone or file audio. It supports faster_whisper, TensorRT-LLM, and OpenVINO backends, plus features like word-level timestamps, hotwords, and speaker diarization.

Use cases

• transcribe live microphone audio in real time
• transcribe pre-recorded audio files
• add live captions to an OBS stream
• dictate text hands-free
• translate spoken audio to another language
• run a self-hosted speech-to-text server with GPU acceleration
• diarize speakers in a meeting recording

When to choose

• you need low-latency streaming transcription with a client-server setup
• you want GPU-optimized Whisper inference via TensorRT or OpenVINO
• you need speaker diarization or word-level timestamps alongside transcription

When to avoid

• you only need simple offline batch transcription without a server
• you cannot install GPU toolchains or PortAudio dependencies
• you need a fully managed cloud speech API

Facets

application · maturity active

speech-recognition http-server websocket llm-inference speech-processing artificial-intelligence python cross-platform whisper transcription real-time dictation tensorrt openvino speaker-diarization translation natural-language-processing docker gpu web-server

Member repositories

For agents

markdown · JSON · MCP: product_card(name="collabora/WhisperLive")