Language Support Overview
Kreuzberg's multilingual processing capabilities rely on the following components:
- Tesseract OCR: Supports text recognition in 100+ languages
- Pandoc: Ability to handle basic Unicode encoding
Key configuration steps
Core points to ensure that multilingualism is handled correctly:
- Installation of OCR training packages for the corresponding language
- Specify the document language explicitly at initialization time:
extractor = Kreuzberg(ocr_lang='jpn+eng')
- Enable auto-detect mode when processing mixed-language documents
Special Character Handling
Optimization recommendations for non-Latin languages:
- Tesseract version 5+ is recommended for CJK documentation.
- Right-to-left languages such as Arabic/Hebrew require specific layout analysis to be enabled.
- Customized training data may be required for rare character sets
Performance Optimization Tips
Methods for improving the efficiency of multilingual processing:
- Limiting the range of possible languages reduces recognition time
- Pre-categorization of batch documents by language
- Consider a GPU-accelerated version of Tesseract
This answer comes from the articleKreuzberg: open source tool to extract text from any documentThe
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