PDFMathTranslate vs DeepL and Papago+: PDF translation

This Korean-language comparison, uploaded on January 12, 2025, tests PDFMathTranslate against DeepL and Papago+ using Meta's Large Concept Model paper. The source specifies no software version. Its installation workflow and service restrictions describe the upload period.

The presenter translates the paper from English into Korean and checks equations, diagrams and the document's multicolumn layout. In the DeepL trial, the document exceeds a usage limit; the output examined afterward contains damaged or missing equations. Papago+ produces readable sentences in the presenter's assessment, but some formulas change and technical terms lose precision. The trial shown also requires registration and payment details.

The PDFMathTranslate demonstration covers installation with Python already present, opening a browser interface, uploading a PDF and selecting a translation backend. This open source tool includes an Ollama option to run models locally, although the presenter uses an OpenAI API key for the example. The demonstration therefore does not establish offline operation or local processing for that translation.

PDFMathTranslate exports a translated PDF or a dual document with alternating original and translated pages. The presenter finds that it preserves diagrams and most equations better in this sample, while acknowledging uncertain results for some inline notation. Translation quality depends on the selected backend; the comparison mainly examines how well each output retains the paper's structure.