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huseyinstif/klaket

by Various

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

MCP

huseyinstif/klaket

Added 3 Sept 2026

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

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

Notes

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.

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

Use cases

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

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

Indexed from awesome-mcp-servers-punkpeye and enriched against its public facts.

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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