AI-Generated Frame Analysis: 4-Element Visual Descriptions

The Clip Visual Index is an AI-generated text description of what appears in each clip on your timeline. It identifies key subjects, actions, settings, and objects visible in the footage. These descriptions serve as input for AI Story Mode, which uses them to write narration that matches your visuals.

What the Visual Index Captures

For each clip, the AI analyzes representative frames and produces a description covering:

  • Subjects — people, animals, or main objects in the frame
  • Actions — what is happening (walking, cooking, talking, etc.)
  • Setting — location and environment (beach, kitchen, city street)
  • Notable details — text on screen, products, landmarks, weather

Generating the Visual Index

1

Automatic generation

When you activate AI Story Mode, Bitcut checks whether each clip already has a visual description. Any clips without one are analyzed automatically before the story script is generated.

2

Manual generation

You can also generate or regenerate the visual index for specific clips from the clip settings. This is useful if you've trimmed a clip and the old description no longer matches the visible content.

On-device analysis: Visual indexing runs smart analysis on your device. Your video frames are not uploaded to any server for this feature.

Editing Descriptions

AI-generated descriptions are a starting point. You can edit any clip's description manually to add context the AI might have missed — for example, the name of a person or a specific location. More accurate descriptions lead to better narration scripts from AI Story Mode.

Add context the AI can't see: The AI describes what it sees visually, but it doesn't know names, dates, or backstory. Adding a note like "This is the Colosseum in Rome" gives AI Story Mode much richer material to work with.