A new OCR model leverages synthetic data to achieve fast, multilingual text recognition. The team generated diverse artificial images to overcome the scarcity of labeled real-world datasets. This approach reduces reliance on expensive manual annotation. Practitioners can now deploy more efficient vision pipelines for documents in multiple languages without needing massive proprietary datasets.