TranslateImage turns raw manga pages and image-heavy content into translated editions in 130+ languages while keeping the original layout, fonts and artwork intact. The pipeline inside https://translateimage.io runs OCR text detection, contextual neural translation and inpainting-based redraw, so dialogue stays in the original speech bubbles with a matched typeface instead of a pasted text box over smudged art. This one-pager walks through the three-stage workflow: detect every text region with per-region confidence, translate with surrounding panels as context so character names and terminology stay consistent across a chapter, then erase the source glyphs and rebuild the screentone underneath before re-rendering the translation. Readers use it for raw chapters, scanlation groups polish machine output in the editor, and localization teams run whole screenshot catalogues through the batch API. Region-level metadata (source text, translation, confidence) comes back with every job for QA sampling. Try it free at https://translateimage.io - upload, pick a language, review, download.