modelscope/FunASR

Health v2 · maintenance only

Adoption not part of the score

20036 stars · 2004 forks observed · 2026-08-28

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

FunASR is an industrial end-to-end speech recognition toolkit built on PyTorch, offering ASR, VAD, punctuation restoration, speaker diarization, and emotion recognition pipelines for offline, streaming, and edge deployment. It includes OpenAI-compatible serving, WebSocket streaming, vLLM acceleration, and an MCP server for integration with AI agents.

Use cases

• transcribe audio files to text
• real-time streaming speech recognition
• add punctuation to raw transcripts
• identify speakers in meeting recordings
• run speech-to-text on Chinese and multilingual audio
• serve an OpenAI-compatible ASR API
• deploy speech recognition on edge devices

When to choose

• you need production-grade ASR with streaming and VAD pipelines
• you want a Whisper alternative with strong Chinese/multilingual support
• you need speaker diarization and punctuation in one toolkit
• you want OpenAI-compatible or MCP-based speech serving

When to avoid

• you only need text-to-speech synthesis
• you need a lightweight non-PyTorch dependency
• your project requires a non-MIT copyleft-compatible license

Facets

library · maturity active

speech-recognition audio-processing machine-learning llm-inference mcp http-server speech-processing machine-learning python cross-platform cli asr speech-to-text transcription paraformer whisper-alternative voice-activity-detection speaker-diarization punctuation streaming-asr openai-compatible-api vllm gguf websocket chinese multilingual pytorch audio natural-language-processing gpu docker

Member repositories

For agents

markdown · JSON · MCP: product_card(name="modelscope/FunASR")