videodb

Index speech and visual content from videos via a Python SDK.

Updated Mar 26, 2026
One-click install
npx skills add https://github.com/cescrafli/compyrasion --skill videodb-cescrafli
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: videodb
Source: https://github.com/cescrafli/compyrasion/tree/main/skills/videodb
Command: npx skills add https://github.com/cescrafli/compyrasion --skill videodb-cescrafli

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires python-dotenv, videodb, and includes scripts (resource) components.

What problem does it solve?

See, Understand, and act on video and audio by ingesting from local files, URLs, RTSP/live feeds, or live desktop capture; return real-time context and actionable stream links. Understand- extract frames, build visual/semantic/temporal indexes, and search moments with timestamps and auto-clips. Act- transcode and normalize (codec, fps, resolution, aspect ratio), perform timeline edits (subtitles, text/image overlays, branding, audio overlays, dubbing, translation), generate media assets (image, audio, video), and create real time alerts for events from live streams or desktop capture.

Core Features & Use Cases

  • Ingest and index video and audio from files, URLs, RTSP streams, or live desktop sessions.
  • Build visual, semantic, and spoken-word indexes; search with timestamps and auto-clips.
  • Edit timelines, generate assets, and deliver on-demand streams plus real-time alerts for events.

Quick Start

Install VideoDB, connect to a collection, index a video, and generate a test stream.

Frequently Asked Questions about videodb

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I index and search spoken words in long-form video files?

You can index live desktop capture and RTSP streams to extract frames and build temporal indexes in real time. This allows you to monitor live video feeds, generate on-demand stream links, and trigger real-time alerts for detected events.

Does this approach support timeline editing and transcoding for indexed media?

Yes, you can use the Python SDK to programmatically ingest video, build indexes, and perform searches. The SDK provides structured media outputs, handles end-to-end processing logic, and includes front-end guidance and reference docs.

What is the best way to extract actionable context from stored video assets?

The best way to extract actionable context from stored video assets is by ingesting them into a collection to build visual and semantic indexes. This process transforms long-form content into searchable moments with precise timestamps and auto-clips.

Can I index live desktop capture and RTSP streams for real-time alerting?

You can index live desktop capture and RTSP streams to extract frames and build temporal indexes in real time. This allows you to monitor live video feeds, generate on-demand stream links, and trigger real-time alerts for detected events.