Quality-check every clip, from every source
Data arrives from many sources, and nobody knows exactly what is in it. VideoDB checks every clip for technical quality, finds near-duplicates and measures variety before it reaches a buyer.
First-person footage from many cameras and many people
“What is actually
in here?”
VideoDB checks every clip for quality and duplicates before a buyer sees it
The checks, at the scale of a whole archive
We have run this pipeline for one of the largest video data providers, with the files left in place.
- Video health
Corrupted files, broken keyframes, frame rate and resolution
- Visual validity
Black, blurred, dark or static frames
- Camera stability
Shake and drift, scored for every clip
- Duplicates
Near-identical clips, found across sources
- Variety
Which scenes, objects, embodiments and views the set covers
- Actions
Episodes and actions, with a quality score for each. For robot data, action jumps and state alignment too
Then let researchers’ agents search it
The checked dataset becomes an MCP server that works in Claude, Cursor and any MCP client. On datasets.bot, more than 50,000 hours of public physical AI and egocentric video are searchable this way.
Open datasets.bot100,000 hours in under a week for one of the largest video data providers
Footage from many sources, checked and cut into training samples for teams building video generation models.
Read the case study- Customer
- One of the largest video data providers
- Checks
- Video health, visual validity, camera stability and duplicates, on every clip
- Delivered
- Scene-level samples, each traced to its source file
- Files
- Left in place, in the provider’s storage
VideoDB is video infrastructure for agents and devices that see. 1,000+ developers and agents use it every week, and it has processed 300+ TB of video.
Runs onAWSGoogle CloudAzureor your own cloud
Send us a few clips from each source
We send back a quality sheet for each one.