Individual skill
xberg-extracting-with-ocr
Use when extracting text from scanned PDFs, photographed pages, or images that have no embedded text layer. Covers OCR backends, language packs, force-OCR, and performance tuning.
plugin/.ai-rulez/skills/xberg-extracting-with-ocr/SKILL.md
Source commit 531f2502f8c21c69046ae5d4555c6b714346e574
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- Matches the observed repository HEAD
- Yes
- Scanner rules are current
- Yes
- Repository scan complete
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- Skill scan complete
- No
- Observed behavior
- Network or broad shell
- Last checked
- Nov 9, 2026
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- Repository stars (not skill ratings)
- 9,568
- Repository last updated
- Nov 9, 2026
- License
- MIT
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- text-extraction Repository topic
- document-intelligence Repository topic
- metadata-extraction Repository topic
- pdf-extraction Repository topic
- python Repository topic
- rag Repository topic
- table-extraction Repository topic
- tesseract Repository topic
- ffi Repository topic
- golang Repository topic
- engineering Derived category
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# Extracting with OCR
Use this when a document is image-based: scanned PDFs, photographed pages,
screenshots, JPEG/PNG/TIFF with text. Xberg auto-OCRs raster images and
auto-detects PDFs that lack a text layer. Force it on when extraction
returned empty/garbled text from a PDF that "looks" textual.
## When to force OCR
- Extraction returned an empty `content` field, but the file opens visually.
- The PDF text layer is junk (copy-paste from a viewer produces gibberish).
- You want consistent output across mixed scanned + digital PDFs.
```bash