Discover what is inside your videos with AI Video intelligence
Video Intelligence is a new capability you turn on inside an existing encode job. Once it runs, Qencode delivers a structured result to your chosen destination alongside the rendition, in one of five modes:
Description generates a comprehensive description of the video content.
Categorization tags scenes against your taxonomy (or a default category list).
Moderation flags violations against your list of reasons (or a default).
Custom runs a user-defined prompt against the video and returns the structured result.
Search returns timestamped spans matching a text or image query, scoped to visual, audio, or transcribed speech.
What this changes for your team
Marketing’s “find every clip where the new sponsor appears” walk-up gets answered while the meeting is still on, instead of going on next sprint’s queue.
The licensor takedown call closes with a per-asset record, not a “we’ll get back to you on that.”
A senior editor cutting a four-minute feature from forty hours of raw footage spends the morning describing the moments and the afternoon making the cut, instead of the other way around.
A two-hour live broadcast becomes a same-day recap with scoring plays, sponsor moments, and a 90-second highlight reel timestamped in time for the morning push.
Catalog activation works in a market that doesn’t speak English: a query in Portuguese reaches Portuguese-language footage, a query in Korean reaches Korean-language footage, without parallel indexes.
Catalog ops gets new uploads pre-sorted into the team’s own taxonomy bins instead of someone else’s category vocabulary.
