A new OCR model trained on 100 million synthetic images supports 135 languages. Hugging Face used synthetic data to overcome the lack of diverse, labeled real-world text samples. The architecture optimizes for speed without sacrificing accuracy. This provides developers a scalable way to implement high-performance text recognition across diverse linguistic datasets.