Optical character recognition transforms image-based PDF pages into searchable, selectable text. Our OCR engine processes each page in three stages: image preprocessing, character recognition, and layout reconstruction.
Preprocessing includes automatic deskewing to correct pages scanned at slight angles, binarization to improve contrast between text and background, and noise removal.
The recognition engine supports 107 languages including Latin, Cyrillic, Greek, Arabic, Hebrew, and CJK character sets.
Layout reconstruction preserves the visual structure of the original document. Columns, headers, footers, captions, and marginal notes are identified and tagged appropriately.
Batch processing supports up to 500 pages per session.