How Our OCR Engine Works
OCR (Optical Character Recognition) is the core technology behind this online OCR service.
It converts static images into editable text by combining computer vision, pattern recognition,
and language models.
The engine follows a four-stage pipeline:
Pre-processing
The system cleans the image, balances brightness and contrast, reduces noise, and straightens
tilted pictures so the text becomes easier to read.
Segmentation
The image is divided into regions, lines, words, and characters. This step is especially important
for complex layouts such as tables and multi-column pages.
Recognition
Characters and words are matched against models trained on large datasets. The tool builds on
proven OCR libraries and enhances them with additional AI models to improve accuracy and quality.
Post-processing
The system checks spelling, grammar, and context. It preserves lists, bullet points, and basic
table structures so the extracted text is easier to reuse.
On clear printed documents, this pipeline can achieve very high character-level accuracy,
comparable to leading commercial OCR systems.