Breaking Language Barriers with Multi-Lingual OCR
In an increasingly globalized world, information comes in many languages. Whether you're dealing with a recipe in French, a technical manual in German, or a news snippet in Hindi, our Image to Text tool now supports over 14 major global languages to ensure you never lose data due to translation gaps.
How To Use Multi-Language Extraction
Using the tool remains as simple as ever. After uploading your image, look for the Language Selection dropdown. Choosing the correct language is crucial because the OCR engine uses specific "training data" for different character sets (like Devanagari for Hindi or Kanji for Japanese).
Privacy & Performance
The best part? This multi-lingual capability still happens entirely offline in your browser. Most other tools send your images to cloud APIs (like Google Vision or AWS Textract), but we believe your data privacy is paramount. By running Tesseract.js locally, we ensure that your sensitive multi-lingual documents stay on your device.
Tips for Better Accuracy in Non-English Languages
- Select the right script: Ensure you've selected 'Hindi' for Devanagari text, 'Chinese' for Hanzi, etc.
- Clear Contrast: Non-Latin characters often have intricate details. High-contrast images help the engine distinguish these fine strokes.
- Orientation: Ensure the text is oriented correctly (upright). OCR engines struggle with rotated text scripts.