OCR for Different Languages: A Complete Guide
Multi-Language OCR
Modern OCR engines support dozens of languages and scripts. FreeOCRKit uses Tesseract.js, which recognizes over 100 languages — from Latin-script languages like English and Spanish to complex scripts like Chinese, Japanese, Arabic, and Devanagari. Selecting the correct language dramatically improves recognition accuracy.
South Asian Languages
For Hindi text extraction, the OCR engine recognizes Devanagari script including conjunct characters and matras. It also supports other Indic scripts. When processing Hindi documents, ensure the text is clearly printed — handwritten Devanagari is significantly harder to recognize than printed text.
East Asian Languages
OCR for Chinese and Japanese handles thousands of unique characters. Chinese OCR recognizes both simplified and traditional characters. Japanese OCR handles Kanji, Hiragana, and Katakana scripts simultaneously. For best results, use high-resolution images where individual strokes are clearly visible.
Right-to-Left Scripts
Languages like Arabic use right-to-left scripts with connected letterforms. The OCR engine handles RTL text direction and character joining automatically. For mixed documents containing both English and Arabic text, the engine detects and processes each script appropriately.