video2ctx

video2ctx: Video analysis tool that makes video content queryable for AI agents with timestamped citations.

video2ctx makes videos queryable for AI agents and applications by extracting transcripts, storyboards, frames, and comments as structured data. It processes speech, visuals, and comments together to answer questions across up to eight videos with timestamped citations. Users can interact with it via agent skills, a command-line interface, a hosted API, or an npm package. It also includes monitoring tools to track channels, topics, or searches on a schedule and alert users to new uploads. The platform supports public YouTube videos with full support, while other platforms and user uploads are coming next.

video2ctx at a glance

Best for: Software engineer
Runs on: Web, API, CLI
Pricing: Starter has 5,000 credits once; Builder is 10,000 credits monthly; Scale has custom credit allocation and volume pricing.
Released: October 2026
Category: AI agent tool
Website: video2ctx.dev

Key features

Query videos using AI agents, CLI, API, or npm package
Extract transcripts, storyboards, frames, and comments
Answer questions across up to eight videos simultaneously
Provide timestamped citations for every answer
Monitor channels, topics, or searches on a schedule
Send alerts in the dashboard or by email for new uploads
Process speech, visuals, and comments together

Use it for

Ask questions across multiple videos and get cited answers
Read text and numbers directly off video screens
Monitor YouTube channels for new video uploads
Turn lectures and tutorials into notes and comparisons

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