PDF Translator

PDF Translator is a long text translation tool that translates PDFs and Office files into 130+ languages without losing the layout. A web and mobile document translator that converts PDFs, scanned PDFs, Word, Excel, PowerPoint and images into 130+ languages while preserving fonts, images, tables and page layout.

PDF Document Translator is a document translation service built around one promise: the translated file should look like the original. Rather than returning a stripped-down block of text, it rebuilds the target document with the source fonts, images, tables, columns and page layout intact. Native PDFs, scanned PDFs, Word, Excel, PowerPoint and image files (JPG, PNG, HEIC) are all accepted, and the output is a formatted document a reader can use without reformatting anything. Translation runs on neural machine translation from Google and Microsoft, the engines behind Google Translate and Microsoft Translator, with automatic source-language detection and context-aware phrasing. For scanned documents and photographed pages, optical character recognition first extracts the text, then reconstructs the page as a searchable translated PDF. The language list runs past 130 entries, covering the major European languages, Arabic, Hebrew, Persian, Hindi, Bengali, Urdu, Tamil, Telugu, Marathi, Gujarati, Punjabi, both simplified and traditional Chinese, Japanese, Korean, Vietnamese, Thai, Indonesian, Malay, Filipino and Swahili, among others. In practice the workflow is short: upload a file, pick a target language (or let detection handle the source), and wait. The site says most documents finish in under two minutes. Contracts and legal filings keep clause numbering and footnotes, research papers keep citations and two-column layouts, and manuals keep diagrams and numbered steps. A Google Drive add-on lets users run the same translations from the Drive side panel without downloading files first. The tool suits legal and compliance teams, academic researchers, localization coordinators and operations staff who handle manuals or supplier paperwork across borders. It competes with general-purpose machine translation and with full translation management systems. It is not a CAT tool: there is no translation memory, glossary management or human review workflow, so agencies with strict terminology rules will still want a dedicated platform. Where it wins is speed and visual fidelity on individual documents. The service reports more than 250,000 users across 200+ countries, and files are transferred encrypted, stored only as long as needed and never used to train models.