Why can Shangyi AI maintain the original PDF layout during translation?

Core Issue Diagnosis

Traditional translation tools often result in overlapping text, misplaced images, or fragmented paragraphs when handling PDFs, rendering the translated output unusable.

Root Cause Analysis

High-Fidelity Document Structure Analysis

Shangyi AI goes beyond simple text replacement by using a document parsing engine to perform comprehensive PDF analysis. It can identify titles, body text, headers, footers, and image positions within a document. Through reconstruction of the underlying coordinate system, it ensures that translated text is accurately mapped back to its original location.

Logical paragraph reassembly technology

In the underlying storage of PDF files, sentences are frequently fragmented by physical line breaks. Shangyi AI employs a 'semantic reassembly algorithm' to merge fragmented lines back into logically complete paragraphs. This explains why our translations are more coherent and avoid the disruption of sentence breaks.

Enhanced OCR recognition

For scanned documents, we have integrated advanced OCR (Optical Character Recognition). Even when text is embedded within images, the system can achieve highly accurate extraction and in-place replacement.

Final Solution Summary

Shangyi AI delivers a genuine ‘what you see is what you get’ translation experience, significantly reducing the time users spend on post-translation format adjustments.