DEDUPEDWho it is forA podcaster or streamer who has a two hour recording and needs short clips for social feeds this week.
The problemFinding the best moments and reframing them to vertical by hand takes hours per episode.
The outcomePlatform-ready MP4 clips, ranked by an LLM, reframed around the speaker with animated captions.
What you need first
- Python 3.11 or 3.12 (not 3.13)
- A full ffmpeg build with libass and libx264
- Node 20+ to build the UI
- Ollama for fully local runs, or an Anthropic, OpenAI, Gemini or OpenAI-compatible key
Steps
- Clone the repo with
git clone https://github.com/artbyjazi/autoclip.git - Install with
cd autoclip && uv venv --python 3.11 && uv pip install -e ".[dev]" - Build the UI with
cd frontend && npm install && npm run build && cd .. - Pull a local model with
ollama pull llama3.1:8band check your setup withautoclip doctor - Start the app with
autoclip serve, paste a link or drop a file, then review and export the clips
Prompt for your agent
Install artbyjazi/autoclip, run `autoclip doctor` until it passes, then clip <path or YouTube URL> with the local Ollama provider. Report how many clips were exported and confirm each MP4 is 9:16 with captions burned in.
Caveat. The README says it is pre-1.0 and the reframe quality bar has not yet been validated against a fixed golden set.
Use this in your AI agent
Ask your agent
Using the Deduped MCP, get the setup steps for artbyjazi/autoclip and "Turn a long video into captioned vertical clips offline"
Add Deduped to Claude Code once
claude mcp add --transport http deduped https://dedupedai.com/mcp
Every Monday: the 5 hottest repos and exactly how to use them. Free, one email a week, unsubscribe anytime.
Get them freeShare: X LinkedIn Hacker News Email Copy link
Third-party repos we don't own. AI-written use cases can be wrong. Disclaimer