Evidence · first-party tested

The caption styling drawer exposes granular controls for text color and size, stroke color and width, font family, capitalization, typography style, active colors, shadows, and a background box, while also showing that no custom fonts had been uploaded yet.

Input — the actual file we sent
Client pay us for branding and emoji clip
A business-focused clip used to test emphasis detection, auto-emoji assignment for conceptual terms, and whether brand templates such as colors and fonts scale correctly across a new clip without breaking.
Output — unretouched
tool output
The observation

The caption styling drawer exposes granular controls for text color and size, stroke color and width, font family, capitalization, typography style, active colors, shadows, and a background box, while also showing that no custom fonts had been uploaded yet.

Criterion: Customization depth · Scenario: Client pay us for branding and emoji clip (group: ai-video-clippers)
Query this
get_evidence({
  tool: "autocaption-io",
  scenario: "ai-video-clippers"
})
MCP · mcp.aidemos.com/api/mcp
Free with attribution.
Real outputs, no retouching · every cell queryable via API & MCP · aidemos.com