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modelscope/FunASR

Some data may be outdated — see provenance labels.

Open-source speech recognition toolkit for training, inference, streaming ASR, VAD, punctuation, speaker diarization pipelines, and OpenAI-compatible/MCP serving. observed · 2026-10-02

github.com/modelscope/FunASR · Python · MIT (permissive) observed · 2026-10-02

Health v2 · maintenance only

93/100

  • Activity 97
  • Release rhythm 83
  • Longevity 100
How is this computed?

round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10) — computed 2026-10-21. Adoption (stars, forks) is never an input.

  • gap_med: 0.0
  • age_days: 1427
  • days_rel: 32
  • days_push: 19
  • n_releases_24m: 61

Full methodology

Adoption not part of the score

20568 stars · 2055 forks observed · 2026-10-02

What it is AI-extracted, prompt v1, taxonomy v1, 2026-10-19, confidence 0.99

FunASR is an open-source Python toolkit for speech recognition, offering offline, streaming, and edge deployment capabilities. It includes pipelines for VAD, punctuation, speaker diarization, and an OpenAI‑compatible API.

Use cases

  • Transcribe audio files to text with high accuracy.
  • Perform real‑time speech‑to‑text streaming via WebSocket.
  • Detect voice activity and segment recordings automatically.
  • Identify and diarize multiple speakers in a conversation.
  • Add punctuation and formatting to raw ASR output.
  • Deploy multilingual ASR models on edge devices using GGUF or llama.cpp.

When to choose

  • You need a single Python library that covers ASR, VAD, punctuation, and speaker diarization.
  • You want an OpenAI‑compatible API for speech recognition.
  • Your project requires streaming transcription over WebSocket.
  • You need multilingual support and the ability to run models on edge hardware.

When to avoid

  • You require a non‑Python implementation or low‑level C/C++ library.
  • Your use case demands ultra‑low latency inference that only specialized on‑device SDKs can provide.
  • You need a solution that works without any GPU/accelerator support on very constrained devices.

Facets

library · maturity active

speech-recognition websocket streaming speech-processing python windows openai-compatible streaming edge-runtime multilingual vllm-acceleration gguf transformers voice-activity-detection speaker-diarization punctuation linux macos

2 sources

Member repositories

RepositoryRoleHealth v2
modelscope/FunASRmain93

For agents

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

Data as of 2026-10-19T08:05:51.212177+00:00 · Report a problem