“Legal documents have an exceptionally low tolerance for errors, while creases and stamps in scanned copies frequently result in text recognition inaccuracies.”

Root Cause Analysis

Denoising and Enhancement Pre-processing

Prior to OCR involvement, the system automatically performs binarization, denoising, and skew correction on images, significantly improving text extraction success rates for outdated or faxed documents.

Stamp-Text Separation

The AI visual model has been specifically trained to distinguish red stamp patterns from underlying black text, in order to optimally restore key contractual clauses obscured by stamps.

Confidence Marking

In bilingual comparison mode, for blurred text with low OCR recognition confidence, the system retains original text image segments for manual verification, thereby mitigating legal risks.

Final Solution Summary

By integrating advanced OCR with specialized legal translation models, the system provides reliable draft assistance for lawyers and legal professionals.