Translator by Image

The tool accepts an image containing text, performs OCR to extract the visible content, and then translates the extracted text to the chosen language. It is designed for professionals who work with multilingual materials, researchers analyzing foreign documents, and travelers needing quick translations from signs, menus, labels, or screenshots.
Conceptually, OCR handles text extraction while a neural MT model performs the translation; optional glossary terms improve accuracy for technical content. The system can preserve line breaks and basic formatting to keep readability and aid downstream use, such as copy-pasting into documents.
Benefits include faster turnaround for localization tasks, reduced manual data entry, and consistency when glossaries are provided. Use cases span product packaging translation, travel assistance, and accessibility tasks requiring multilingual text. The end-to-end flow, combined with confidence scores and source-language detection, supports efficient review and quality control.
Note that accuracy depends on image quality and script; handwriting is challenging for OCR and may require manual verification; outputs are intended for review rather than publication without human checks.