[MS] Add OCR layer service for embedded images and PDF scans #1541
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- Created HTML file with multiple images for testing OCR extraction. - Added several PDF files with different layouts and image placements to validate OCR functionality. - Introduced PPTX files with complex layouts and images at various positions for comprehensive testing. - Included XLSX files with multiple images and complex layouts to ensure accurate OCR extraction. - Implemented a new test suite in `test_ocr.py` to validate OCR functionality across all document types, ensuring context preservation and accuracy.
- Refactor image extraction and processing in PDF, PPTX, and XLSX converters for improved readability and consistency. - Implement detailed validation for OCR text positioning relative to surrounding text in test cases. - Introduce comprehensive tests for expected OCR results across various document types, ensuring no base64 images are present. - Improve error handling and logging for better debugging during OCR extraction.
zashed
approved these changes
Jan 27, 2026
zashed
approved these changes
Jan 27, 2026
lesyk
changed the title
lesyk
changed the title
lesyk
changed the title
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This pull request introduces comprehensive OCR support to MarkItDown, enabling extraction of text from images embedded in documents (PDF, DOCX, XLSX, PPTX) using multiple backends (Tesseract, EasyOCR, LLM Vision, Azure Document Intelligence). It adds a unified OCR service layer with graceful fallback between backends, automatic detection and handling of scanned PDFs, and inline extraction of image text in DOCX files. The README is updated with detailed usage examples for the new OCR features.
#1344