# Unlimited OCR Segment Figure

> Split a composite figure, screenshot, or dashboard into its individual panels by cropping the layout bounding boxes Unlimited-OCR detects, so each panel can be described separately by a vision model that is good at charts. Turns Unlimited-OCR's refusal to transcribe charts into a pre-processing win — one chart per prompt beats a nine-panel collage per prompt. Use when a vision model is misreading a dense multi-panel image, when you need per-figure crops from a paper or report, or when building a two-stage OCR pipeline that localises first and describes second. TRIGGERS - segment figure, split panels, crop charts from image, multi-panel figure, extract subfigures, per-panel description, layout segmentation, chart crops, split a screenshot into regions, dashboard panels, figure extraction.

## Facts
- Page: https://tashan.sh/capability/skill-terrylica-unlimited-ocr-segment-figure
- tashan id: skill:terrylica/unlimited-ocr-segment-figure
- Source: https://github.com/terrylica/cc-skills
- Type: skill
- Category: cloud
- tashan score: not scored (catalogued only — too little public evidence)
- Adoption: 9.0
- Upkeep: 99.0
- Freshness: 98.0
- Evidence coverage: 84% of the inputs this score can use
- Health: active
- Instruction depth: not yet graded
- License: MIT
- Official: no

## Install

```sh
cp -r unlimited-ocr-segment-figure ~/.claude/skills/
```

## Security audit
Not scanned. We audit npm-published capabilities; this one has no npm package we can resolve, or has not reached the queue. This is not a clean bill of health.

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Measured 2026-08-14 by tashan (https://tashan.sh) from public evidence. Scorer s5.