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huseyinstif/klaket

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Turn any video into LLM-ready data - transcripts, speaker labels, scenes, subtitles and on-screen text. Self-hostable, keyless, MCP-ready.

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MCP

huseyinstif/klaket

Added 3 Sept 2026

#ai-agents#developer-tools#diarization#llm#mcp#ocr#rag#scene-detection
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Overview

Turns any video into LLM-ready data, including transcripts, speaker labels, scenes, subtitles, and on-screen text. Self-hostable and keyless, with MCP support for integration.

Best for

Best for
Developers needing self-hosted video-to-text pipelines for LLM workflows

Use cases

  • Extract transcripts and speaker labels from videos
  • Generate subtitles and scene markers
  • Prepare video content for LLM ingestion

How to use

Install

pip install klaket

Clients listed in this record (not verified here)

Claude Code, ChatGPT

Notes

2 stars on GitHub. Last updated 2026-07-14. Licensed AGPL-3.0.

Pros

  • Self-hostable without API keys
  • MCP-ready for tool integration
  • Extracts multiple data types from video

Cons

  • Low star count suggests early-stage maturity
  • Limited community and documentation
  • Python-only implementation
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