We’re pleased to announce the release of Spire.OCR for Python 2.1.0. This version enables seamless integration of cloud-based AI models—including Doubao, Qwen, and DeepSeek—into Spire.OCR for Python. These models help improve accuracy and enhance text recognition in images. Here is a list of changes made in this release Category ID Description New Feature - Added support for integration of AI models into Spire.OCR. (Note: Users need to obtain an API Key from the AI platform on their own.) def _run_ai_test(self): filename = "1.png" output_file = "scan.txt" file_path = r"F:\3.3.0AI\AI\ocr.xml" model = "AIModel" api_key = "ApiKey" api_url = "ApiUrl" self._update_ocr_config(file_path, model,…

We are pleased to announce the release of Spire.OCR for Python 1.9.13. This release introduced platform and dependency adjustments and enhanced error handling and OCR recognition capabilities. Details are listed below. Here is a list of changes made in this release Category ID Description Adjustment - Upgraded SkiaSharp to 3.116.1. Adjustment - Added support for the Linux-ARM platform. Adjustment - Changed license usage to spire.ocr.LicenseProvider; the common license object was no longer used. Enhancement SPIREOCR-111 Enhanced error handling: when the system library libdl.so was unavailable, image scanning returned a clear error message. Enhancement - Enhanced OCR recognition capability: 1. Supported…