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videodb

Automate video ingestion, indexing, search, and server-side composition with the VideoDB Python SDK.

Updated Jun 25, 2026
Search Tags:#editing#python#ai#search#video#transcription#livestream
One-click install
npx skills add https://github.com/sumeetonline90/fitup_all --skill videodb-sumeetonline90
Or copy as Structured Prompt for Agent▼
Please help me install this Agent Skill.
Skill: videodb
Source: https://github.com/sumeetonline90/fitup_all/tree/main/.cursor/skills/videodb
Command: npx skills add https://github.com/sumeetonline90/fitup_all --skill videodb-sumeetonline90

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Working with video content traditionally requires expensive software, manual editing, and hours of scrubbing through footage to find specific moments. This Skill eliminates those barriers by providing AI-powered ingestion, search, and editing capabilities directly through code, turning raw video into searchable, editable, and shareable streams without local rendering tools.

Core Features & Use Cases

  • Intelligent Video Search: Index spoken words and visual scenes to find exact moments using natural language queries, then compile matching segments into highlight reels.
  • Server-Side Timeline Editing: Compose videos from multiple clips, add subtitles, overlays, and background music without re-encoding or local ffmpeg dependencies.
  • Live Stream & Desktop Capture: Connect RTSP cameras or record desktop sessions with real-time AI transcription, visual indexing, and event alerts for monitoring workflows.

Quick Start

Use the videodb skill to upload a video file, index its spoken content, search for a specific topic like "product demo," and generate a compiled stream URL containing all matching segments.

Frequently Asked Questions about videodb

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

FAQPage Schema
How do I search for specific moments in a video using natural language?▼

Search for specific moments by indexing spoken words and visual scenes, then querying with natural language to find exact matches. The system compiles matching segments into highlight reels or compiled stream URLs for immediate review.

Can I edit and compose videos server-side without installing ffmpeg locally?▼

Yes, you can compose videos server-side without local ffmpeg dependencies. The workflow handles transcoding, subtitle generation, and aspect ratio reframing directly through the VideoDB Python SDK, outputting shareable stream URLs without local rendering tools.

How does live stream monitoring work with real-time AI transcription?▼

Live stream monitoring connects RTSP cameras or desktop capture sessions, applying real-time AI transcription and visual indexing. It processes WebSocket events instantly, generating event alerts and searchable metadata for ongoing monitoring workflows.

Do I need a specific API key to automate video ingestion and indexing?▼

Yes, automating video ingestion and indexing requires a VIDEO_DB_API_KEY environment variable. This key authenticates the Python SDK to handle uploading, transcoding, spoken content indexing, and timeline-based video editing operations.

What is the best way to generate subtitles and reframe aspect ratios for uploaded videos?▼

Generate subtitles and reframe aspect ratios via the server-side composition pipeline. After video ingestion, the SDK applies AI-driven subtitle generation and reframing without requiring local rendering tools, outputting edited stream URLs.

How do I compile highlight reels from multiple video clips?▼

Compile highlight reels by searching indexed content with natural language queries, selecting matching segments, and composing them server-side. The SDK handles timeline editing, overlays, and background music without local ffmpeg dependencies.

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