OCR (Optical Character Recognition)

Required files and assets from the client:

• • Image files: High-resolution image files (.PNG, .JPG, .PDF, .TIFF) containing text to be extracted
• • Image quality: Clear, high-resolution images with good contrast for best OCR accuracy
• • Language specification: Source language of the text in images
• • Format requirements: Preferred output format (TXT, DOCX, PDF) and any specific formatting requirements
• • Quality assessment: Image quality classification (low, medium, high) to determine processing time

• • Ensure image quality: Provide high-resolution, clear images with good contrast for best OCR accuracy
• • Use appropriate OCR engine: Select OCR engine optimized for the source language and image quality
• • Pre-process images: Enhance image quality (contrast, brightness, noise reduction) before OCR processing
• • Specify language: Clearly specify the source language to ensure accurate OCR recognition
• • Review and correct: OCR output typically requires review and correction for accuracy, especially for poor-quality images
• • Handle complex layouts: Complex layouts, tables, and multi-column text may require additional processing time
• • Maintain formatting: Preserve text formatting, structure, and layout when possible
• • Verify technical terms: Review and correct technical terms, proper nouns, and specialized vocabulary
• • Test and iterate: Test OCR output and iterate on image preprocessing for best results

• • Image quality: OCR accuracy depends heavily on image quality; poor-quality images require more processing and correction time
• • Language support: OCR engines vary in language support and accuracy; verify engine capabilities for source language
• • Font and style: Unusual fonts, handwriting, or stylized text may reduce OCR accuracy
• • Layout complexity: Complex layouts, tables, multi-column text, and mixed content may require additional processing time
• • Editing requirements: OCR output typically requires editing and correction for accuracy, especially for low-quality images
• • Formatting preservation: Preserving formatting, structure, and layout may require additional processing time
• • Technical terminology: Technical terms, proper nouns, and specialized vocabulary may require manual correction
• • Turnaround time: OCR processing time varies significantly based on image quality and complexity
• • Cost vs. accuracy: OCR is cost-effective but may require additional editing time for high-accuracy requirements

1. File Receipt: Receive image files and assess quality and complexity
2. Quality Assessment: Classify image quality (low, medium, high) to determine processing approach
3. Image Preprocessing: Enhance image quality (contrast, brightness, noise reduction) if needed
4. OCR Processing: Process images through OCR engine, extracting text content (Low: 10 min/page, Medium: 5 min/page, High: 2 min/page)
5. Initial Review: Review OCR output for accuracy, identifying errors and areas requiring correction
6. Editing and Correction: Edit and correct OCR output, fixing errors, formatting, and structure
7. Formatting: Apply required formatting, preserving structure and layout when possible
8. Terminology Review: Verify and correct technical terms, proper nouns, and specialized vocabulary
9. Quality Assurance: Review final output for accuracy, completeness, and formatting consistency
10. Final Delivery: Deliver extracted text in requested format (TXT, DOCX, PDF) with preserved formatting when possible