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OCR Language Support: How to Extract Text in 28+ Languages

OCR Language Support: How to Extract Text in 28+ Languages

Beyond English: OCR for Every Language

Most people think of OCR as an English-only technology, but modern OCR engines support dozens of languages — including languages with completely different scripts like Arabic (right-to-left), Chinese (character-based), and Hindi (Devanagari script).

Our Image to Text Converter supports 28+ languages right in your browser. Here's how to get the best results for each.

Supported Languages

Latin Script Languages

These languages use the same alphabet as English and generally have the highest OCR accuracy:

Language Accuracy Notes
English 95-99% Best supported language
Spanish 95-98% Handles accents (á, é, ñ) well
French 95-98% Handles accents (é, è, ç) well
German 94-98% Handles umlauts (ä, ö, ü) and ß
Portuguese 94-97% Including Brazilian Portuguese
Italian 94-97% Standard Latin characters
Dutch 94-97% Standard Latin characters
Polish 92-96% Handles special characters (ą, ę, ł)
Turkish 92-96% Handles İ, ş, ğ, ç correctly

Non-Latin Script Languages

These require selecting the correct language for accurate recognition:

Language Script Accuracy Tips
Arabic Arabic script (RTL) 85-92% Clear, printed Arabic works best
Chinese (Simplified) Han characters 88-94% Works well with printed text
Chinese (Traditional) Han characters 87-93% Select Traditional specifically
Japanese Kanji + Kana 86-92% Mixed scripts handled well
Korean Hangul 88-94% Clear block characters recognized well
Hindi Devanagari 85-90% Printed Hindi works best
Russian Cyrillic 92-96% Very similar accuracy to Latin scripts
Greek Greek alphabet 90-95% Both modern and polytonic
Thai Thai script 82-88% Connected characters are challenging

How to Select the Right Language

Selecting the correct language before processing is crucial. Here's why:

  1. Character set matching — Each language has a specific set of valid characters. Selecting Arabic tells the engine to look for Arabic characters, not Latin ones
  2. Dictionary validation — The engine uses language-specific dictionaries to correct probable errors
  3. Reading direction — Arabic and Hebrew read right-to-left; the engine needs to know this

To select a language in our tool:

  1. Open any tool page (e.g., Image to Text Converter)
  2. Click the OCR Language dropdown above the upload area
  3. Select your language
  4. Upload your image

Tips for Non-English OCR

Arabic

  • Use printed/typed Arabic for best results — handwritten Arabic is very challenging for OCR
  • Ensure text is fully connected (as Arabic script naturally is)
  • High contrast is especially important for diacritical marks (tashkeel)

Chinese / Japanese

  • Printed text in standard fonts works best
  • Handwritten characters are harder due to the sheer number of possible characters (50,000+)
  • Vertical text is supported but horizontal gives better results

Hindi / Devanagari

  • The headline (shirorekha) connecting characters at the top must be clearly visible
  • Avoid images where the connecting line is broken or faded
  • Printed text in standard fonts gives 85%+ accuracy

Russian / Cyrillic

  • Very similar to Latin script processing — accuracy is usually excellent
  • Watch for characters that look similar in both scripts (A, B, C, E, etc.)

Mixed Language Documents

Some documents contain text in multiple languages (e.g., an English document with Arabic quotes, or a Japanese document with English brand names).

Current limitation: Select the primary language of the document. The engine will do its best with secondary language text, but accuracy may be lower for the non-selected language.

Workaround for mixed documents:

  1. Process the document with Language A selected
  2. Process it again with Language B selected
  3. Combine the best results from both

Try Multilingual OCR

Our tools are free and support 28+ languages with no limits. Try extracting text in your language:

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