PDF OCR Extraction
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Extract text from scanned PDFs using optical character recognition
pdfpdfocrscantext-extraction
What this skill does
# 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 ```markdown ## 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 ```markdown ## OCR Extraction: [Document Name] ### Document Info | Field | Value | |-------|-------| | Title | [Extracted or inferred] | | Date | [If found] | | Author | [If found] | ### Content by Section #### [Header 1] [Content under this header] #### [Header 2] [Content under this header] ### Tables Found | Column 1 | Column 2 | Column 3 | |----------|----------|----------| | [Data] | [Data] | [Data] | ### Uncertain Text | Page | Original | Confidence | Possible | |------|----------|------------|----------| | 3 | "teh" | 70% | "the" | | 5 | "l0ve" | 65% | "love" | ``` ### Searchable PDF Output ```markdown ## OCR to Searchable PDF **Source**: [filename.pdf] **Output**: [filename_searchable.pdf] ### Processing Summary | Metric | Value | |--------|-------| | Pages | [X] | | Words extracted | [Y] | | Average confidence | [Z]% | | Processing time | [T] seconds | ### Quality Report - [X] 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 ```markdown ## Form Extraction: [Form Name] ### Field Values | Field | Value | Confidence | |-------|-------|------------| | Name | John Smith | 98% | | Date | 01/15/2026 | 95% | | Address | 123 Main St | 92% | ### Checkboxes | Question | Checked | |----------|---------| | Option A | ☑️ Yes | | Option B | ☐ No | | Option C | ☑️ Yes | ### Signature [Signature detected on page X - cannot extract text] ``` ### Tables ```markdown ## Table Extraction ### Table 1 (Page 2) | Header A | Header B | Header C | |----------|----------|----------| | Value 1 | Value 2 | Value 3 | | Value 4 | Value 5 | Value 6 | **Table confidence**: 85% **Note**: Column 3 may have alignment issues ``` ### Handwritten Text ```markdown ## Handwritten Text Extraction **Legibility Assessment**: [Good/Fair/Poor] **Recommended**: Manual review ### Extracted Text (Confidence: 65%) [Extracted text with uncertain words marked] ### Uncertain Words | Original | Best Guess | Alternatives | |----------|------------|--------------| | [image] | "meeting" | "meeting", "meaning" | | [image] | "Tuesday" | "Tuesday", "Thursday" | ⚠️ **Low confidence extraction - please verify manually** ``` ## Batch Processing ### Batch OCR Job ```markdown ## Batch OCR Processing **Folder**: [Path] **Total Documents**: [X] **Status**: [In Progress/Complete] ### Results | File | Pages | Confidence | Status | |------|-------|------------|--------| | doc1.pdf | 5 | 96% | ✅ Complete | | doc2.pdf | 12 | 88% | ✅ Complete | | doc3.pdf | 3 | 72% | ⚠️ Review | | doc4.pdf | 8 | - | ❌ Failed | ### 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
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