Multilingual Text Recognition
OCR Across Ten Supported Languages and Scripts
Need to use Multilingual Text Recognition right now?
Each language's model downloads once on first use, then recognition runs locally.
Original
Drop an image, or click to browse
Processed locally in your browser — never uploaded
Downloads the appropriate language model the first time you use it, then recognizes text in that language entirely on your device. Choose the language that matches your image's text for best accuracy.
Features
- Runs entirely in your browser
- Privacy-first — your data is never uploaded
- Real-time, instant results
- 100% free, no sign-up required
- Works on desktop, tablet, and mobile
- No installation needed
Who uses this tool?
About Multilingual Text Recognition
Most OCR tools default to English and struggle badly with other languages' distinct characters and scripts. This tool lets you pick the language before recognizing, loading the appropriate trained model for that specific language rather than forcing everything through an English-only model.
Ten languages are supported — English, Spanish, French, German, Hindi, Simplified Chinese, Arabic, Russian, Portuguese, and Japanese — covering scripts as different as Latin, Devanagari, Cyrillic, Arabic, and Chinese/Japanese characters, each with its own dedicated Tesseract-trained language model.
The engine (Tesseract, compiled to WebAssembly) downloads the specific language model you select the first time you use it for that language, then runs recognition entirely on your device — subsequent uses of the same language are faster since the model is already cached.
Choosing the correct language matters significantly for accuracy: running Arabic text through an English model (or vice versa) produces poor results, since each model is trained on that specific script and character set.
How it works
- Upload your image. Any photo or scan with text in a supported language.
- Choose the language. Select from ten supported languages before recognizing.
- Recognition runs locally. The matching language model analyzes the image on your device.
Examples
Recognizing Spanish text
Input
photo of Spanish text, Spanish selected
Output
accurately recognized Spanish text