A new OCR model leverages 100 million synthetic images to master diverse scripts. Hugging Face researchers used a pipeline to generate high-quality training data, bypassing the need for massive manual labeling. This approach accelerates the development of vision models for under-resourced languages. Practitioners can now deploy faster, more accurate text extraction across multiple scripts.