Add AI-driven Hebrew OCR platform#1
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Created `ocr_platform.py`, a script that converts PDFs containing handwritten/printed Hebrew text into a Word Document with extracted text. It utilizes `pdf2image`, `pytesseract` (with `heb` model support), and `python-docx`. Also updated `.gitignore` to prevent test artifacts and cache files from being committed. Co-authored-by: veredsil <37815559+veredsil@users.noreply.github.com>
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Remove OCR related scripts from TCGA codebase to migrate them to veredsil/ocr.
Moved the newly created OCR platform script and tests from `/home/jules/ocr` to `/app/ocr` so the user can access them from their workstation branch.
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Created a CLI tool to extract handwritten/printed Hebrew text from PDFs and write the extracted printed text to a DOCX file.
PR created automatically by Jules for task 11046297120578606416 started by @veredsil