PDF OCR Extraction

Extract text from scanned documents and image-based PDFs using OCR technology.

Overview

This skill helps you:

• Extract text from scanned documents

• Make image PDFs searchable

• Digitize paper documents

• Process handwritten text (limited)

• Batch process multiple documents

How to Use

Basic OCR

"Extract text from this scanned PDF" "OCR this document image" "Make this PDF searchable"

With Options

"Extract text from pages 1-10, English language" "OCR this document, preserve layout" "Extract and output as structured data"

Document Types

OCR Quality by Document Type

Document Type Expected Quality Tips

Typed documents ⭐⭐⭐⭐⭐ 95%+ Best results

Printed books ⭐⭐⭐⭐ 90%+ Watch for aging

Forms ⭐⭐⭐⭐ 85%+ Check boxes may need manual

Tables/Data ⭐⭐⭐ 80%+ Structure may need fixing

Handwritten (neat) ⭐⭐ 60-80% Variable results

Handwritten (cursive) ⭐ 30-60% Often needs manual review

Mixed content ⭐⭐⭐ 75%+ Depends on complexity

Output Formats

Plain Text Extraction

OCR Result: [Document Name]

Pages Processed: [X] Language: [Detected/Specified] Confidence: [X]%

[Extracted text content here]

Notes

• [Any issues or uncertainties]
• [Characters that may be incorrect]

Structured Extraction

OCR Extraction: [Document Name]

Document Info

Content by Section

[Header 1]

[Content under this header]

[Header 2]

[Content under this header]

Tables Found

Uncertain Text

Searchable PDF Output

OCR to Searchable PDF

Source: [filename.pdf] Output: [filename_searchable.pdf]

Processing Summary

Quality Report

• pages with 95%+ confidence
• [Y] pages with 80-94% confidence
• [Z] pages with <80% confidence (review recommended)

Searchability

✅ Document is now text-searchable ✅ Original images preserved ✅ Text layer added behind images

Pre-Processing Tips

Image Quality Checklist

Before OCR, ensure:

• Resolution: 300 DPI minimum (600 for small text)

• Contrast: Clear black text on white background

• Alignment: Document is straight (not skewed)

• Completeness: No cut-off edges

• Cleanliness: No stains, marks, or shadows

Common Pre-Processing Steps

Issue Solution

Low resolution Upscale image first

Skewed/rotated Auto-deskew

Poor contrast Adjust levels/threshold

Noise/specks Apply noise reduction

Shadows Flatten lighting

Color document Convert to grayscale

Language Support

Supported Languages

• Excellent: English, Spanish, French, German, Italian

• Good: Chinese (Simplified/Traditional), Japanese, Korean

• Moderate: Arabic, Hebrew (RTL support), Hindi

• Basic: Many others with varying quality

Multi-Language Documents

"OCR this document, detect language automatically" "Extract text, primary: English, secondary: Chinese"

Handling Specific Content

Forms and Checkboxes

Form Extraction: [Form Name]

Field Values

Checkboxes

Signature

[Signature detected on page X - cannot extract text]

Tables

Table Extraction

Table 1 (Page 2)

Table confidence: 85% Note: Column 3 may have alignment issues

Handwritten Text

Handwritten Text Extraction

Legibility Assessment: [Good/Fair/Poor] Recommended: Manual review

Extracted Text (Confidence: 65%)

[Extracted text with uncertain words marked]

Uncertain Words

⚠️ Low confidence extraction - please verify manually

Batch Processing

Batch OCR Job

Batch OCR Processing

Folder: [Path] Total Documents: [X] Status: [In Progress/Complete]

Results

Issues

• doc3.pdf: Pages 2-3 have handwriting
• doc4.pdf: File corrupted

Summary

• Successful: [X]
• Need Review: [Y]
• Failed: [Z]

Tool Recommendations

Cloud Services

• Google Cloud Vision (excellent accuracy)

• Amazon Textract (good for forms)

• Azure Computer Vision (balanced)

• Adobe Acrobat (integrated)

Desktop Software

• ABBYY FineReader (best accuracy)

• Adobe Acrobat Pro (reliable)

• Readiris (good value)

• Tesseract (free, open source)

Programming Libraries

• pytesseract (Python + Tesseract)

• EasyOCR (Python, multi-language)

• PaddleOCR (Python, good for Asian languages)

Limitations

• Cannot guarantee 100% accuracy

• Handwritten text has low accuracy

• Very small text may not extract well

• Decorative fonts are problematic

• Background images reduce quality

• Cannot read text in complex graphics

• Processing time increases with pages