What is high-fidelity AI document translation, and how does it differ from traditional translation?

Core Issue Diagnosis

Traditional machine translation typically focuses only on text, often resulting in disordered document formatting after translation, whereas high-fidelity translation aims for 'as-is translation.'

Root Cause Analysis

A leap from text translation to document engineering

Traditional tools (such as Google Translate) rely on simple text extraction, which often disrupts the hierarchical structure of PDFs. DL.Translator employs a document engineering approach, parsing underlying XML or object coordinates to ensure that translated text is precisely restored to its original position.

Technical challenges in layout restoration

Differences in character count between languages (for example, German is 30% longer than English) can lead to text overflow. We utilize semantic paragraph restructuring technology to dynamically adjust letter spacing and line height, ensuring that charts, headers, and footers remain properly aligned.

Final Solution Summary

High-fidelity translation is not only a matter of language conversion, but also reconstructs the visual structure, allowing users to use the translated document directly without any need for additional typesetting.