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Decision brief
FunASR is an industrial-grade toolkit supporting real-time speech recognition across over 50 languages.
Good fit when
- When requiring high-speed real-time processing of up to 170x realtime speech recognition.
- For projects that involve emotion detection or speaker diarization alongside transcription.
Avoid when
- In scenarios where only a narrow set of languages are required, as overhead for supporting over 50 languages may be unnecessary.
- For projects lacking GPU resources since certain models, like the Fun-ASR-Nano flagship model, require a GPU to run effectively.
- Requirements:
- Requires Python ≥ 3.8.; PyTorch and torchaudio must be installed separately before running FunASR.
Observed Jul 17, 2026 · Source: enrich:decision_facts
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Maintenance and security
Full trust report- Maintenance
- Very active (0d since push)
- As of 3w
- Provenance
- Not a fork · Organization account
- As of 3w
- Security (OSV)
- No lockfile
- As of 1w
Public GitHub metadata and optional OSV scans. Signals, not a guarantee. Trust methodology.
Install
pip install FunASRSimilar tools
Same-category neighbours. No typed graph edges are catalogued for this tool yet.
Evidence and technical details
Sourced facts, taxonomy, compatibility claims, README excerpt, and machine-readable endpoints.
Overview
FunASR is an industrial-grade speech recognition software with real-time capabilities, support for over 50 languages, and features like speaker diarization and emotion detection.
Capability facts
- Languages
- python
Source: github.language+pyproject.toml · Jul 30, 2026
Categories
Compatibility
Sourced claims from the README excerpt - not unsourced marketing copy.
Source: README excerpt (regex_v1, Jul 30, 2026)
Requirements: Python ≥ 3.8. Install PyTorch + torchaudio first ([pytorch.org](https://pytorch.org/geSource link
Tags
README
Quick Start
No local setup? Open the Colab quickstart to transcribe a public sample or upload your own audio in a browser.
---
## Installation
```bash
pip install funasr
From source / Requirements
git clone https://github.com/modelscope/FunASR.git && cd FunASR
pip install -e ./
Requirements: Python ≥ 3.8. Install PyTorch + torchaudio first (pytorch.org), then pip install funasr.
Docker streaming service
docker pull registry.cn-hangzhou.aliyuncs.com/funasr_repo/funasr:funasr-runtime-sdk-online-cpu-0.1.12
---
## License
- FunASR toolkit source code in this repository: [MIT License](./LICENSE).
- Pretrained model weights are licensed separately. Check the license shown on each model card; when a model card links to the [FunASR Model Open Source License Agreement](./MODEL_LICENSE), those terms apply.
For agents
This page has a .md twin and JSON over the API.