videodb

Index and analyze video and live content for searchable transcripts and streams.

Updated Mar 19, 2026

Search Tags:#timeline #indexing #streaming #transcription #visual-analysis #capture #videodb

Ready to run

npx skills add https://github.com/RUSHYOP/imperium-cli --skill videodb-rushyop

💬 Prompt for ChatGPT / Claude Chat▼

Please help me install this Agent Skill.
Skill: videodb
Source: https://github.com/RUSHYOP/imperium-cli/tree/main/content/skills/videodb
Command: npx skills add https://github.com/RUSHYOP/imperium-cli --skill videodb-rushyop

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

VideoDB enables teams to quickly find, summarize, and repurpose video content by building searchable transcripts and scene indexes from uploaded videos, live streams, and desktop captures, then producing streamable outputs.

Core Features & Use Cases

Ingest and index: spoken words, visuals, and audio to create searchable memory and context.
Search and stream: query across videos and renders, compile results into shareable streams.
Timeline editing and exports: assemble assets into non-destructive timelines and export final videos.

Quick Start

Ingest a video file or live stream to build searchable indexes and generate a shareable 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 live streaming video?▼

You can index live streams by ingesting RTSP or RTMP feeds to build spoken-word and scene indexes in real time. This enables fast search and retrieval across live content without manual review.

Can I create a searchable transcript from desktop capture sessions?▼

Yes, you can ingest desktop capture sessions to generate searchable transcripts and scene indexes. The pipeline processes captured audio and visuals to build a searchable memory of on-screen activity.

What is the best way to assemble video clips into a shareable stream?▼

Timeline-based editing lets you assemble indexed assets into non-destructive timelines and export final videos. You compile search results into shareable streams directly from the assembled timeline.

Do I need server-side AI pipelines for video transcription and indexing?▼

Yes, video transcription and indexing require server-side AI pipelines to process spoken words, visuals, and audio. These pipelines build the searchable indexes and timelines needed for retrieval and editing.

Does VideoDB support RTSP and RTMP stream ingestion for visual analysis?▼

VideoDB supports ingesting RTSP and RTMP streams for visual analysis and indexing. It processes live content to build scene indexes and searchable transcripts from incoming stream data.