github yusufkaraaslan/Skill_Seekers v1.2.0
v1.2.0 - PDF Advanced Features Release

latest releases: v2.2.0, v2.1.1, v2.1.0...
one month ago

v1.2.0 - PDF Advanced Features Release

Date: October 23, 2025

Major enhancement to PDF extraction capabilities with advanced features for handling any type of PDF documentation.

๐Ÿš€ What's New

Enhanced PDF Support

  • OCR for Scanned PDFs - Automatically extract text from scanned documents using Tesseract OCR

    • Intelligent fallback when text content is low (< 50 characters)
    • Works with pytesseract and Pillow
    • Command: --ocr
  • Password-Protected PDFs - Handle encrypted PDF files securely

    • Clear error messages for authentication issues
    • Command: --password PASSWORD
  • Table Extraction - Extract complex tables from PDF documents

    • Captures table data as structured 2D arrays
    • Includes metadata (bounding box, row/column counts)
    • Integrates seamlessly with skill references
    • Command: --extract-tables

Performance Improvements

  • 3x Faster Processing - Parallel page processing using multi-threading

    • Auto-detects CPU count or accepts custom worker specification
    • Activates automatically for PDFs with 5+ pages
    • Benchmark: 500-page PDF reduced from 4m 10s to 1m 15s
    • Commands: --parallel and --workers N
  • Intelligent Caching - 50% faster on subsequent runs

    • In-memory cache for expensive operations (text extraction, code detection, quality scoring)
    • Enabled by default, disable with --no-cache

๐Ÿ“š Usage Examples

Basic PDF Extraction

python3 cli/pdf_scraper.py --pdf docs/manual.pdf --name myskill

Maximum Performance

python3 cli/pdf_scraper.py --pdf docs/manual.pdf --name myskill \
    --extract-tables \
    --parallel \
    --workers 8

Scanned PDFs

pip3 install pytesseract Pillow
python3 cli/pdf_scraper.py --pdf docs/scanned.pdf --name myskill --ocr

Password-Protected PDFs

python3 cli/pdf_scraper.py --pdf docs/encrypted.pdf --name myskill --password mypassword

All Features Combined

python3 cli/pdf_scraper.py --pdf docs/manual.pdf --name myskill \
    --ocr \
    --extract-tables \
    --parallel \
    --workers 8 \
    --verbose

๐Ÿ“Š Performance Benchmarks

Pages Sequential Parallel (4 workers) Parallel (8 workers)
50 25s 10s (2.5x) 8s (3.1x)
100 50s 18s (2.8x) 15s (3.3x)
500 4m 10s 1m 30s (2.8x) 1m 15s (3.3x)
1000 8m 20s 3m 00s (2.8x) 2m 30s (3.3x)

๐Ÿงช Testing

  • New Test Suite: test_pdf_advanced_features.py (26 comprehensive tests)

    • OCR Support (5 tests)
    • Password Protection (4 tests)
    • Table Extraction (5 tests)
    • Parallel Processing (4 tests)
    • Intelligent Caching (5 tests)
    • Integration (3 tests)
  • Updated Tests: test_pdf_extractor.py (23 tests, all passing)

  • Total PDF Tests: 49/49 passing (100%)

  • Overall Project: 142/142 tests passing (100%)

๐Ÿ“– Documentation

  • New Guide: docs/PDF_ADVANCED_FEATURES.md (580 lines)
    • Complete usage guide
    • Installation instructions
    • Performance benchmarks
    • Best practices
    • Troubleshooting
    • API reference

๐Ÿ“ฆ Dependencies

New Required Dependencies

pip3 install Pillow==11.0.0 pytesseract==0.3.13

Optional System Dependency

  • Tesseract OCR engine (for scanned PDF support)
    • Ubuntu/Debian: sudo apt-get install tesseract-ocr
    • macOS: brew install tesseract

๐Ÿ”ง What's Changed

  • Enhanced cli/pdf_extractor_poc.py with all advanced features
  • Added cli/pdf_scraper.py for full workflow support
  • Updated requirements.txt with new dependencies
  • Updated README.md with advanced features showcase
  • Updated docs/TESTING.md with comprehensive test documentation
  • Added extensive PDF documentation (7 new guides)

๐Ÿ› Bug Fixes

  • Fixed function signature mismatches in tests
  • Updated language detection confidence thresholds
  • Corrected chapter detection patterns
  • Fixed code block merging with proper metadata

๐Ÿ“ Full Changelog

See CHANGELOG.md for complete version history.


Full Diff: v1.1.0...v1.2.0


This release represents a major step forward in PDF documentation processing capabilities. Now you can extract comprehensive skills from virtually any PDF, whether it's a modern digital document, a scanned paper book, or an encrypted technical manual! ๐ŸŽ‰

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