Doc2Lang

Unlike basic text translation tools, Doc2Lang understands document structure maintaining fonts, graphics, bullet points, formulas, table layouts, and even PowerPoint speaker notes after translation.

This formatting preservation makes translated documents immediately usable in professional settings without requiring manual reformatting work.

The platform integrates optical character recognition (OCR) to process scanned documents and image-based PDFs that contain no selectable text. This capability extends translation services to legacy documents, physical paperwork converted to PDF, and any image-heavy file type.

Once OCR extracts the text, Doc2Lang's AI translation engine applies context-aware translation that considers the full document structure rather than translating sentence by sentence in isolation, resulting in more natural and accurate translated content.

Doc2Lang's custom glossary feature is particularly valuable for businesses with specialized terminology. Companies can define brand-specific terms, technical vocabulary, industry jargon, and proper nouns that must be translated consistently across all documents.

Once a glossary is established, the AI automatically applies these translations throughout every document upload, ensuring terminology consistency across contracts, product documentation, marketing materials, and internal reports critical for maintaining brand integrity and regulatory compliance in multilingual operations.

The service operates on a transparent pay-per-use credit model that removes the commitment of monthly subscriptions. Users upload documents, receive a free preview of the translated output, and only purchase credits when satisfied with the translation quality.