Building a Fast Multilingual OCR Model with Synthetic Data

Researchers developed a fast multilingual OCR model trained primarily on synthetic data, enabling efficient text recognition across multiple languages. The model achieves competitive accuracy while reducing reliance on large annotated datasets.