#4242nd of 67 in VoiceFor image, video and design, video and animation, voice, speech and music
funclip
Clip videos by selecting text or speakers from an ASR transcript
- Stars
- 6.5k
- License
- MIT
- Last commit
- Nov 2026
- Last release
- Sep 2026
- Language
- Python
5,425 on 4 Apr 20266,481 on 31 Oct 2026
From GitHub's daily star counts.
Checked on GitHub.
Overview
FunClip runs FunASR Paraformer speech recognition on a video, then lets you pick transcript segments or speaker IDs and cuts the matching clips, with SRT subtitles for the full video and the clip. It runs as a local Gradio app on port 7860, with a command-line mode and optional LLM-assisted segment selection. Backends include Paraformer, Fun-ASR-Nano, SenseVoice and a MOSS vLLM path.
Who it is for: Video editors and developers clipping spoken video by transcript or speaker
Strengths
- Paraformer gives token-level timestamps, so clips cut precisely on selected text
- CAM++ speaker recognition allows clipping all segments from one speaker
- Gradio UI plus a two-stage CLI (recognize, then clip) for scripting
- Optional LLM clipping via OpenAI-compatible gateways or TwelveLabs Pegasus video model
Weaknesses
- Default models are tuned for Chinese; English uses a separate Paraformer model via -l en
- MOSS backend has only segment-level timestamps and needs a separate vLLM service
- No Docker setup in the repo; Python environment and PyTorch must be installed manually
- Reverse period selection and silence removal are still unchecked on the roadmap
What it needs
- GPU optional
- Needs Python 3.12, PyTorch and torchaudio, funasr>=1.4.9, Gradio 4, Pillow, vLLM (MOSS backend only)
- Models: Paraformer-Large, SeACo-Paraformer, CAM++, Fun-ASR-Nano, SenseVoice
- port 7860
Quick answers
Is funclip open source?
Yes. Its code is on GitHub under the MIT license.
Does funclip need a GPU?
No. It runs on a CPU and can use a GPU when you have one.
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