Vision6h ago
Hugging Face Builds Multilingual OCR With Synthetic Data
A new OCR model leverages synthetic data to achieve high accuracy across multiple languages. Hugging Face researchers trained the system by generating artificial text images to bypass the scarcity of labeled real-world datasets. This approach reduces reliance on manual annotation. Practitioners can now deploy faster, more scalable text recognition pipelines for diverse linguistic scripts.