hebrew-ocr-forms

Hebrew OCR form extraction uses Tesseract with Hebrew and English language packs to process scanned government documents, applying Python-based preprocessing and field-aware parsing to extract structured data like Tabu land registry details and tax form fields.

Batch processing of Hebrew tax form scans is supported, enabling automated extraction of fields like tax year, employer number, gross salary, and tax deducted across multiple Tofes 106 and Tofes 100 documents simultaneously.

Tesseract OCR handles mixed Hebrew and English text in official documents by relying on Hebrew and English language packs, with field-aware parsing that supports RTL text handling for accurate data extraction.

Validation rules for Israeli IDs, date formats, currency, and cross-field consistency are applied automatically during the OCR extraction process to ensure structured data accuracy from Tabu and National Insurance document scans.

Automating data entry from Israeli National Insurance documents is best achieved through Tesseract-based OCR pipelines with field-aware parsing, which extracts structured data while reducing manual entry errors and validating Israeli IDs.

Tesseract Hebrew OCR requires Python-based preprocessing with OpenCV, NumPy, and Pillow to handle scan quality issues, RTL text nuances, and mixed language content before field-aware parsing can accurately extract structured data.