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quick_reference_all Cleanup Scans / OCR (Optical Character Recognition)
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Please read this documentation on how to use this for other languages and/or use not in docker

https://docs.stirlingpdf.com/Advanced%20Configuration/OCR

PDF OCR - Convert Scanned Documents to Searchable Text

What is PDF OCR?

PDF OCR (Optical Character Recognition) converts scanned PDF documents and image-based PDFs into searchable, editable text. This advanced technology recognizes text in images and creates fully searchable PDF documents while maintaining the original layout and appearance.

Key Features

Advanced Text Recognition

  • Multi-language support for international documents
  • High accuracy rates (99%+ for clear documents)
  • Font recognition across various typefaces and sizes
  • Layout preservation maintaining original document structure

Smart Processing

  • Automatic language detection for optimal recognition
  • Image enhancement for better text recognition
  • Table and column recognition for complex layouts
  • Batch processing for multiple documents

How PDF OCR Works

  1. Upload Scanned PDF: Select image-based or scanned PDF documents
  2. Language Selection: Choose document language for optimal recognition
  3. OCR Processing: Advanced algorithms recognize and extract text
  4. Quality Review: Preview recognized text and layout
  5. Download Searchable PDF: Receive fully searchable document

Benefits

  • Searchable Content: Find specific text instantly within documents
  • Text Editing: Copy and edit recognized text content
  • Digital Archive: Convert paper documents to digital searchable format
  • Accessibility: Make documents compatible with screen readers

Common Use Cases

  • Document Digitization: Convert paper archives to searchable digital format
  • Legal Discovery: Make case documents searchable for litigation support
  • Academic Research: Search through scanned books and research papers
  • Business Records: Digitize invoices, contracts, and financial documents
  • Historical Archives: Convert old documents and manuscripts to digital format
  • Compliance Documentation: Create searchable records for regulatory requirements

OCR Accuracy Factors

Document Quality

  • Clear text with good contrast provides best results
  • High resolution scans (300 DPI+) improve accuracy
  • Proper lighting in original scanning reduces errors
  • Minimal skew and rotation enhance recognition quality

Text Characteristics

  • Standard fonts recognized more accurately than decorative typefaces
  • Adequate font size (10pt+) for reliable character recognition
  • Clean backgrounds without watermarks or patterns
  • Consistent formatting throughout the document

Language Support

Major Languages

  • English - Highest accuracy with comprehensive dictionary support
  • Spanish, French, German - Excellent recognition with language-specific optimization
  • Chinese, Japanese, Korean - Advanced character recognition algorithms
  • Arabic, Hebrew - Right-to-left text processing support

Regional Variants

Support for country-specific language variants and specialized vocabularies.

Advanced Features

Image Enhancement

Automatic image preprocessing to improve text recognition accuracy:

  • Noise reduction for cleaner text recognition
  • Contrast adjustment for better character definition
  • Skew correction for properly aligned text
  • Resolution enhancement for improved clarity

Layout Analysis

Intelligent document structure recognition:

  • Column detection for multi-column layouts
  • Table recognition with proper cell alignment
  • Header and footer identification
  • Reading order determination for complex layouts

Best Practices

  • Scan at high resolution (300 DPI minimum) for optimal results
  • Ensure clean source documents without handwritten annotations
  • Choose correct language settings for your document
  • Review OCR results for accuracy before finalizing
  • Keep original scans as backup for comparison

Quality Assurance

Accuracy Validation

Comprehensive testing ensures high recognition accuracy across various document types and languages.

Layout Preservation

Maintains original document formatting including fonts, spacing, and visual elements.

Search Functionality

Verifies that recognized text is properly indexed for search and accessibility features.

Use Case Examples

Legal Firms

Convert case files, contracts, and court documents to searchable format for efficient case research and discovery.

Healthcare Providers

Digitize patient records and medical documents for searchable electronic health records systems.

Educational Institutions

Convert textbooks, research papers, and historical documents to accessible digital formats.

Government Agencies

Transform paper records and archives into searchable digital databases for public access and administration.

Technical Specifications

Input Support

  • Scanned PDF documents
  • Image-based PDFs
  • Multi-page documents
  • Various scan qualities and resolutions

Output Features

  • Fully searchable PDF with embedded text layer
  • Original image preservation with text overlay
  • Metadata inclusion for enhanced document management
  • Cross-platform compatibility for all PDF viewers

Accessibility Benefits

Screen Reader Compatibility

OCR-processed documents work with assistive technologies for visually impaired users.

Text-to-Speech Support

Recognized text enables audio reading capabilities for accessibility compliance.

Search and Navigation

Enhanced document navigation through searchable content and proper heading structure.

Perfect for legal professionals, archivists, researchers, healthcare providers, government agencies, and businesses that need to convert scanned documents into searchable, accessible digital format.