ufal/whisper_streaming

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

3672 stars · 408 forks observed · 2026-08-28

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

A Python library that turns Whisper-like speech recognition models into a real-time streaming transcription and translation system using a local agreement policy with self-adaptive latency. It supports multiple Whisper backends such as faster-whisper and whisper-timestamped and was demonstrated in live multilingual conference transcription.

Use cases

• transcribe live audio streams in real time
• real-time speech-to-text for long unsegmented audio
• live captioning for conferences and meetings
• streaming speech translation across languages
• build a live transcription service on top of Whisper

When to choose

• you need low-latency streaming transcription from Whisper models
• you want multilingual live captioning or translation
• you want to plug in different Whisper backends like faster-whisper

When to avoid

• you need the latest state-of-the-art simultaneous speech recognition - the project recommends its successor SimulStreaming
• you only need offline batch transcription of pre-recorded files
• you need a production-ready managed service rather than a research-grade library

Facets

library · maturity maintenance

speech-recognition streaming nlp audio-processing speech-processing machine-learning python cross-platform whisper real-time-transcription translation local-agreement simultaneous-translation natural-language-processing gpu

Member repositories

For agents

markdown · JSON · MCP: product_card(name="ufal/whisper_streaming")