OCR for Multiple Languages: Extract Text in 50+ Languages
Amanda Montell
Text does not only come in English. Menus in Japanese, street signs in Arabic, legal documents in German, research papers in Chinese — if you need to extract text from images in other languages, our image to text converter supports over 50 languages with automatic detection. No settings to configure. Just upload and extract.
How Multi-Language OCR Works
Traditional OCR engines require you to specify the language before processing. Our engine uses a detection-first approach: it analyzes the character shapes and script patterns in the image to identify the language automatically, then applies the appropriate recognition model. This means you can process a document in Korean, a receipt in French, and a sign in Hindi without changing any settings between uploads.
Supported Languages
The engine supports major world languages across multiple scripts:
- **Latin script**: English, Spanish, French, German, Italian, Portuguese, Dutch, Polish, Turkish, Vietnamese, Indonesian, and more
- **Arabic script**: Arabic, Farsi, Urdu
- **CJK characters**: Chinese (Simplified and Traditional), Japanese (Kanji, Hiragana, Katakana), Korean (Hangul)
- **Devanagari script**: Hindi, Marathi, Sanskrit, Nepali
- **Cyrillic script**: Russian, Ukrainian, Bulgarian, Serbian
- **Other scripts**: Thai, Greek, Hebrew, Georgian, Armenian, Bengali, Tamil, Telugu
Mixed-Language Documents
Many real-world documents contain text in multiple languages — a Japanese product label with English specifications, a bilingual contract in French and Arabic, or a research paper with citations in various languages. The OCR engine handles these mixed-language documents without issue, recognizing each script as it appears in the image.
The engine processes each region of the image independently, so a single document can contain text in three or four different scripts and all will be extracted correctly.
Use Cases for Multilingual OCR
- **Travelers**: Photograph menus, signs, and labels abroad and get the text for translation
- **Students**: Extract text from foreign-language textbooks, journal articles, and study materials
- **Business**: Digitize contracts, invoices, and correspondence in any language
- **Researchers**: Pull quotes and data from international publications
- **Immigration**: Extract text from foreign-language documents for translation and filing
Tips for Non-Latin Scripts
- Use high-resolution images — complex scripts like Chinese and Arabic need more detail for accurate recognition
- Ensure the text is horizontal. Vertical text (common in Japanese) is supported but horizontal gives better results
- For handwritten text in non-Latin scripts, accuracy depends heavily on legibility. Print-style handwriting works best
- Right-to-left scripts (Arabic, Hebrew) are extracted in the correct reading order
After extracting text in a foreign language, paste it into Google Translate or any translation tool. OCR plus translation is often faster than manual transcription and translation combined.
Frequently Asked Questions
No. The OCR engine detects the language automatically based on the script and character patterns in the image. Just upload and extract.
Yes. Mixed-language documents are processed correctly. Each text region is recognized independently, so a document with English, Chinese, and Arabic text will have all three extracted.
Latin-script languages (English, Spanish, French, German) and CJK languages (Chinese, Japanese, Korean) have the highest accuracy due to extensive training data. Less common scripts may have slightly lower accuracy.
Yes. Arabic, Hebrew, Farsi, and Urdu are fully supported. Text is extracted in the correct right-to-left reading order.
Extract text from images in any language — no settings, no signup.
Try Multilingual OCR