PP-OCRv6 on Hugging Face: 50-Language OCR from 1.5M to 34.5M Parameters

PP-OCRv6 is the latest iteration of PaddleOCR's universal OCR models, designed to enhance text detection and recognition across various real-world scenarios, from documents to industrial labels. It introduces three model tiers—tiny, small, and medium—ranging from 1.5M to 34.5M parameters, supporting up to 50 languages, including Chinese, English, Japanese, and Latin-script languages. The update brings architectural, training, and data improvements, achieving better detection and recognition accuracy compared to its predecessor, PP-OCRv5_server. Key features include the PPLCNetV4 backbone for consistency across all tiers and the use of RepLKFPN and EncoderWithLightSVTR for efficient text detection and recognition. The models can be integrated with PaddlePaddle, Transformers, or ONNX Runtime backends, offering flexibility for different deployment environments. PP-OCRv6 is available for evaluation and integration through an online demo, model collection, and various inference backends, making it suitable for diverse OCR needs in multilingual and complex text scenarios.