Finds exact video clips in local archives using AI search.
Product memo
TraceVid helps video creators quickly locate specific moments within their existing footage. It operates as a local-first desktop app, prioritizing rapid retrieval from local archives, NAS, or imported web sources. This approach lets creators efficiently reuse content without uploading their entire library, offering a speed and data control advantage over cloud-based alternatives.
For who
YouTubers and video creators
Solves what
Finds exact clips in local video archives using AI search.
- Local video import and organization
- AI-powered transcript and visual search
- Ask AI about selected video evidence
In their own words
AI that finds the exact clips you want in your local video library.
If you make Shorts, YouTube videos, podcasts, interviews, or long-form content, you already have great material buried in old footage. TraceVid is built around one job first: helping you recover the right moment quickly without uploading your whole archive to the cloud. You can start from your own folders, mounted NAS
TraceVid helps creators import videos from supported URLs, local folders, and NAS-backed folders, find the exact clips they want, and ask AI about selected video evidence in a local-first library.
Commercial cues
Model
hybrid
Free tier
Yes
Trial
Available
Operator context
Founded
May 2026
Platform
Desktop
Audience
Creators
Builder Strategy
- Strategy Type
- Niche Specialist
- Stage
- Pre Revenue
- Effort
- Solo Buildable
About TraceVid Expand
TraceVid provides video creators with a desktop application for managing and searching their local video archives. It addresses the common challenge of finding specific footage by offering AI-powered search across transcripts and visual cues.
Creators can import videos from local folders, NAS, or direct URLs, then use the AI chat feature to analyze selected video evidence. This local-first approach ensures data privacy and rapid access, making TraceVid a specialized tool for creators who need precise clip retrieval without relying on cloud uploads.