| title | NeuronClip Backend |
|---|---|
| emoji | 🚀 |
| colorFrom | blue |
| colorTo | blue |
| sdk | gradio |
| sdk_version | 6.20.0 |
| python_version | 3.12 |
| app_file | app.py |
| pinned | false |
| license | mit |
Free, local-first AI clipping pipeline for long-form podcasts.
- Extract audio with
ffmpeg - Transcribe with faster-whisper (open-source models)
- Segment transcript into candidate moments
- Score candidates with heuristic virality signals
- Output
clips.jsonwith ranked candidates
- Python 3.10+
ffmpeginstalled and available in PATH- Free open-source models (faster-whisper downloads them automatically)
python -m venv .venv
source .venv/bin/activate
pip install -r requirements.txtpython -m clipneuron.cli \
--input path/to/podcast.mp4 \
--output out/clips.jsonpython -m clipneuron.cli \
--input path/to/podcast.mp4 \
--output out/clips.json \
--render \
--top 5 \
--clips-dir out/clips- This pipeline uses only free resources and open-source models.
- MVP-2 adds clip rendering, 9:16 cropping, and basic burned-in captions.