A new multilingual OCR model leverages synthetic data to achieve high speed and accuracy across diverse scripts. Researchers at Hugging Face bypassed the need for massive human-labeled datasets by generating artificial text images. This approach reduces training costs. Practitioners can now deploy lightweight, fast vision models for complex document digitization tasks.