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Utilities for identifying and parsing data from barcode and QR code patterns.
Distinguishing note: Focuses on the specific task of barcode decoding rather than general text recognition.
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Umi-OCR is an optical character recognition engine designed to convert visual text from images and documents into machine-readable character data. It functions as a local-first toolkit, processing all visual data directly on the host machine using embedded neural network models to maintain privacy and offline availability. The project distinguishes itself through its focus on automated document digitization and integrated barcode and QR code decoding. By utilizing a modular, Python-based orchestration layer, it enables users to transform static image files and multi-page documents into search
Extracts hidden text from image files by identifying and decoding visual patterns found within scanned codes.