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smithery/dkyazzentwatwa

ocr-document-processor

Extract text and structure from scans, images, and scanned PDFs. Use for OCR, searchable PDFs, table extraction, receipt parsing, and business card parsing.

Installation

$ npx skills add smithery/dkyazzentwatwa --skill ocr-document-processor
View on skills.sh ↗ Website ↗

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Also in this package

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npx skills add smithery/dkyazzentwatwa
nav-task 0 nav-start 0 nav-marker 0 nav-loop 0 image-enhancement-suite 0 financial-calculator 0 data-storyteller 0 crypto-ta-analyzer 0

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More details

Agent compatibility

Declared targets from SKILL.md / docs. Unmarked agents are not listed — the skill may still install via the CLI.

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Package contents

Files included with this skill beyond the listing page.

  • skill md SKILL.md 1,239 B
  • docs SUMMARY.md 181 B

History

  1. First recorded snapshot · 0 installs

SKILL.md

OCR Document Processor

Handle OCR-heavy inputs where text must be recovered from images or scanned pages.

Use This For

  • OCR on images and scanned PDFs
  • Searchable PDF export
  • Structured extraction to text, markdown, JSON, or HTML
  • Table extraction from scanned material
  • Receipt parsing and business card parsing

Workflow

  1. Decide whether plain OCR, structured extraction, or document-specific parsing is needed.
  2. Preprocess noisy inputs before extraction when skew, blur, or shadows are present.
  3. Use scripts/ocr_processor.py for core OCR tasks.
  4. Use the focused helpers when the input is specialized:

- scripts/businesscardscanner.py - scripts/receipt_scanner.py

  1. Return confidence caveats when the source is low quality, rotated, handwritten, or multilingual.

Guardrails

  • Prefer explicit language selection when accuracy matters.
  • Do not claim fields are exact when OCR confidence is weak.
  • Route non-scanned digital PDFs to document-converter-suite instead of OCR by default.