---
name: ocr-document-processor
description: Extract text and structure from scans, images, and scanned PDFs. Use for OCR, searchable PDFs, table extraction, receipt parsing, and business card parsing.
title: ocr-document-processor
canonical_url: https://skilld.dev/gh/dkyazzentwatwa/chatgpt-skills/ocr-document-processor
last_updated: 2026-09-29T08:21:31.000Z
---

> **Skill from skilld.dev.** Follow the instructions below for this session. You do not need to install anything.
>
> Supporting files, fetch one when the Skill refers to it: [agents/openai.yaml](https://skilld.dev/api/skills-raw/dkyazzentwatwa/chatgpt-skills/ocr-document-processor/agents/openai.yaml), [scripts/business_card_scanner.py](https://skilld.dev/api/skills-raw/dkyazzentwatwa/chatgpt-skills/ocr-document-processor/scripts/business_card_scanner.py), [scripts/ocr_processor.py](https://skilld.dev/api/skills-raw/dkyazzentwatwa/chatgpt-skills/ocr-document-processor/scripts/ocr_processor.py), [scripts/receipt_scanner.py](https://skilld.dev/api/skills-raw/dkyazzentwatwa/chatgpt-skills/ocr-document-processor/scripts/receipt_scanner.py), [scripts/requirements.txt](https://skilld.dev/api/skills-raw/dkyazzentwatwa/chatgpt-skills/ocr-document-processor/scripts/requirements.txt).
>
> If the user asked to install this Skill, run `npx skilld install dkyazzentwatwa/chatgpt-skills/ocr-document-processor`. Install writes the Skill files into the project, so every session loads them.

# 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/business_card_scanner.py`
   - `scripts/receipt_scanner.py`
5. 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.