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Video, audio & media

Clips Kitty

Free optionLocal

Turn long videos into captioned vertical highlights using local models.

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What you can use it for

Turn long videos into captioned vertical highlights using local models.

  • Automatically select highlights from long videos using a local LLM, transcribe, crop for vertical speaker framing, caption and export clips.
Workflow coverage and comparison notes

Automatically select highlights from long videos using a local LLM, transcribe, crop for vertical speaker framing, caption and export clips. Recent app with real user-reported settings persistence and export preferences issues. Not evidence of Opus-style virality prediction parity or equally good highlight selection. 16 GB RAM is required: official README warns 8 GB may analyse but render nothing. CPU-only long videos may take a long time. Optional natural-language tool interface needs a tool-capable Gemma 4 model; normal clip selection can use tested gemma:7b / gemma3:4b routes. Windows 10/11 desktop. Minimum 16 GB RAM and about 20 GB disk plus video storage. CPU fallback supported but slower; GPU recommended. No supported Mac desktop build.

Before you switch

Recent app with real user-reported settings persistence and export preferences issues. Not evidence of Opus-style virality prediction parity or equally good highlight selection. 16 GB RAM is required: official README warns 8 GB may analyse but render nothing. CPU-only long videos may take a long time. Optional natural-language tool interface needs a tool-capable Gemma 4 model; normal clip selection can use tested gemma:7b / gemma3:4b routes. Windows 10/11 desktop. Minimum 16 GB RAM and about 20 GB disk plus video storage. CPU fallback supported but slower; GPU recommended. No supported Mac desktop build.

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