Chatgpt-skills 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.

install

source · Clone the upstream repo

git clone https://github.com/dkyazzentwatwa/chatgpt-skills

Claude Code · Install into ~/.claude/skills/

T=$(mktemp -d) && git clone --depth=1 https://github.com/dkyazzentwatwa/chatgpt-skills "$T" && mkdir -p ~/.claude/skills && cp -r "$T/ocr-document-processor" ~/.claude/skills/dkyazzentwatwa-chatgpt-skills-ocr-document-processor && rm -rf "$T"

manifest: ocr-document-processor/SKILL.md

source content

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

Decide whether plain OCR, structured extraction, or document-specific parsing is needed.
Preprocess noisy inputs before extraction when skew, blur, or shadows are present.
Use
```
scripts/ocr_processor.py
```
for core OCR tasks.

Use the focused helpers when the input is specialized:

```
scripts/business_card_scanner.py
```
```
scripts/receipt_scanner.py
```

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.