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A cutting-edge text recognition SDK engineered in C++ with Python interfaces, tailored for offline functionality on scanned documents. It emphasizes combining CRNN with Transformer models to improve multi-line text recognition and document comprehension. By turning images into sequences, it aims to transcend traditional OCR boundaries. The SDK accommodates multi-threading and incorporates a lightweight Transformer framework for contextual error correction. Optimal for handling curved texts and intricate document layouts, offering high adaptability and effectiveness.
