“Traditional OCR works reasonably well with neatly printed text, but when it comes to messy handwritten meeting notes or ancient books, it often produces a jumble of unreadable characters.”

Root Cause Analysis

Large model visual encoder

Shangyi AI incorporates a transformer-based visual encoder (such as GPT-4V technology) with context-aware inference capabilities. Even challenging handwritten texts, such as messy doctor's prescriptions or historical manuscripts, can be accurately interpreted by leveraging contextual understanding.

Layout analysis and handwritten-style rendering

After translation, the system not only replaces the text, but also attempts to refill it using fonts that closely resemble the original handwriting style, preserving the authentic visual feel of your notes.

Final Solution Summary

Bringing the priceless resources of the paper era into the AI age, making them accessible to readers worldwide.