Doclingo
Translate documents and keep the layout, tables and images exactly as they were.
Standout features
Doclingo solves the format-loss problem head-on: it translates PDFs, Word files and images into 90+ languages while keeping tables, images and structure intact.
Worldwide search interest, indexed 0–100 · Google Trends.
Doclingo is a document-translation specialist focused on layout.
- An AI document translator handling PDFs, Word, Excel and images in 90+ languages.
- Its headline feature is layout preservation — translated files look like the originals.
- OCR translates scanned files; a multi-engine approach picks the best model per language.
- A newer tool; freemium with paid plans from around $7.59/mo.
Doclingo’s edge is format-faithful documents.
- Layout, tables and images preserved.
- OCR for scanned files.
- Multi-engine model routing.
- Bilingual side-by-side output.
Freemium with affordable paid plans.
Doclingo is for document-heavy translation.
- Anyone translating PDFs, contracts or research papers.
- Users with scanned, image-based documents.
- People who need the output to match the original.
- Teams wanting a full localization platform.
- Anyone needing quick conversational translation.
No tool is perfect — the trade-offs to weigh:
- Newer, smaller tool with a shorter track record.
- Not a full document editor or collaboration suite.
- Best for documents, not conversational use.
- Advanced editing is limited.
- ✓Layout preservation
- ✓OCR for scanned files
- ✓90+ languages
- ✓Multi-engine routing
- ✓Bilingual side-by-side
- ✕Newer, smaller tool
- ✕Not a full editor
- ✕Document-focused only
- ✕Limited advanced editing
People translating PDFs, contracts and research papers pick Doclingo because the output keeps the original layout, tables and images — and OCR handles scanned files. The honest caveats are that it’s a newer, document-focused tool rather than a full editor or localization platform.
Doclingo is a newer AI document-translation tool focused on layout preservation across PDFs, Word and images in 90+ languages.
Company figures are drawn from public disclosures and reputable trackers (gathered Jun 2026). User and revenue numbers are estimates and move fast.
Pick up to two other coding tools to see them head-to-head on the same rubric.