Local-First Movie Recap Pipeline Using Whisper + CLIP + Ollama

✍️ OpenClawRadar📅 Published: May 3, 2026🔗 Source
Local-First Movie Recap Pipeline Using Whisper + CLIP + Ollama
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A developer built an automated pipeline that turns any movie into a narrated recap video. The stack is entirely local-first: Whisper for transcription, CLIP for scene matching, Ollama (or OpenAI/Gemini/Anthropic) for script generation, Edge TTS for voiceover, and FFmpeg for rendering.

How it works

  • Input: Drop in any movie file via a simple web UI.
  • Transcription: Whisper extracts dialogue and timestamps.
  • Scene matching: CLIP identifies visual scenes that match the narrative.
  • Script generation: Ollama (or any API provider) writes a concise recap script.
  • Voiceover + rendering: Edge TTS generates narration, FFmpeg composites everything into a final video.

The entire process runs locally with Ollama, but you can also plug in remote LLM APIs (OpenAI, Gemini, Anthropic). Total runtime is approximately 15 minutes. No manual editing required.

Who it's for

Developers building automated video generation pipelines or anyone who wants to batch-produce movie recaps without cloud dependencies.

📖 Read the full source: r/LocalLLaMA

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👀 See Also