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Without an index, a big library is write-only: footage goes in and never comes out. Kino watches everything during ingest and writes logs you can search — each clip gets a title, description, transcript, detected people, and highlight markers. Chat and connected agents read the same logs.
Kino search interface showing massive crowds search

Natural language search for 'massive crowds' finds relevant scenes

Search modes

Spoken words become searchable after transcription. Find dialogue without making transcripts by hand.
Press Shift+Tab to cycle between search modes.
Combine search methods:
  • Find all clips where “@Sarah mentions quarterly results near whiteboard”
  • Locate “exterior shots of building with people entering during daytime”
  • Filter for “closeup shots with dramatic lighting and minimal dialogue”

Search by people

Kino detects people in your footage. Use people filters to find shots containing @Ted, or what was said while @Amy was on screen.
Searching for Brian in Kino interface

@'ing Brian returns all footage containing him, plus 'ethernet'

Teach Kino about a new person

1

Navigate to People page

Go to the People page and click Create Person.
2

Add a photo

Add a clear, high-quality picture from your clipboard with Cmd + V, or select an image from your computer.
3

Submit and process

Submit the photo. Kino will populate the page with footage containing that person.
Use well-lit photos for better detection. Once configured, Kino’s logs incorporate the names of people in your library, and you can browse the whole library by person.

Logging

Video logging — analyzing footage and writing detailed descriptions of its content — is traditionally done manually by professional loggers who watch every second of footage, often multiple times. Kino does that work during ingest, so editors can skim a library without opening every file.
AI video logging interface with automatically generated descriptions
Whether it’s raw footage, clips from YouTube, or a mix of both, every clip receives a readable title.Filenames like IMG_3923.MOV can become Brendan Backstage Interview Before Keynote, which makes grid browsing much faster.
List of video clips with AI-generated titles

AI transforms raw filenames like 'IMG_3923.MOV' into descriptive titles

Example use cases

For verité documentary footage with multiple characters:
  1. Ingest 10+ hours of footage from your shoot
  2. Kino identifies every person and describes every scene
  3. Review a searchable database of logged moments
  4. Face detection automatically groups scenes by character
  5. Natural language descriptions allow you to search conceptually (“emotional conversation” or “urban landscape”)
A 10-hour shoot becomes easier to scan without a manual first pass.