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Multi-Language OCR Support | Rune

Multi-Language OCR Support | Rune

Extract text in multiple languages with OCR. Support for English, Spanish, French, Chinese, Japanese, and 100+ languages.

2 min read

Text exists in every language. Rune's OCR recognizes over 100 languages, making text extraction truly global.

Supported Languages

Rune's Image to Text (OCR) supports:

European Languages

  • English, Spanish, French, German
  • Italian, Portuguese, Dutch
  • Polish, Russian, Ukrainian
  • Greek, Swedish, Norwegian
  • And many more...

Asian Languages

  • Chinese (Simplified & Traditional)
  • Japanese
  • Korean
  • Hindi, Tamil, Thai
  • Vietnamese

Middle Eastern Languages

  • Arabic
  • Hebrew
  • Persian
  • Turkish

Other Languages

  • Indonesian, Malay
  • Filipino
  • Swahili
  • And 100+ more

How to Use Multi-Language OCR

  1. Open Rune's Image to Text (OCR).
  2. Upload your image.
  3. Select the target language from the dropdown.
  4. Click "Extract Text."
  5. Get text in the original language.

Language Selection Tips

Scenario Selection
Single language document Select that language
Mixed languages Try auto-detect or primary language
Unknown language Use auto-detect

Character Set Considerations

Latin Scripts

English, Spanish, French, German—highest accuracy.

CJK (Chinese, Japanese, Korean)

Complex characters require more processing but work well with quality images.

Right-to-Left

Arabic, Hebrew—fully supported with correct text direction.

Quality by Language

  • Best: Latin scripts, high-quality fonts
  • Very Good: CJK with clear printing
  • Good: Cyrillic, Greek, Hebrew, Arabic
  • Varies: Handwriting in any language

Use Cases

Translation Workflow

  1. OCR extract foreign text.
  2. Paste into translation tool.
  3. Get translation.

International Documents

Process contracts, documents, and materials in any language.

Travel

Capture signs, menus, and information in foreign languages.

Conclusion

Language shouldn't limit text extraction. Rune's Image to Text (OCR) supports 100+ languages for global text recognition.