Detect on-screen text legibility problems from OCR output

Judges: OCR text of a frame plus contrast ratio computed by code. Questions: noul:text_is_title - lower-third vs incidental; choice:risk - too_small/too_fast/ok. Action: Code applies fixes only to titles; flags lower-thirds shown under reading-time threshold.

AA clean typed decision (yes/no, a pick from a list, or a level on a scale) that is concrete, repeats routinely, and has meaningful value.4.02

Key facts

Vertical
Agencies, media & creators
Function
Agents & dev
Status
Idea
Volume
routine
Value
meaningful
Risk
moderate
Evidence
—
Flags
None

Build this with a classifier

Define a typed decision with a bounded answer, then evaluate it on examples.

{
  "decision_type": "choice",
  "question": "Does this input match the decision in “Detect on-screen text legibility problems from OCR output”?",
  "input": "<input to classify>",
  "output": "one label from a fixed list"
}

Related use cases

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