abdur75648/UTRNet-High-Resolution-Urdu-Text-Recognition
UTRNet: High-Resolution Urdu Text Recognition In Printed Documents (ICDAR'23)
This project helps convert scanned Urdu documents into editable text. It takes images of printed Urdu text, including complex Nastaliq script, and accurately extracts the characters and words. This tool is ideal for researchers, archivists, and anyone needing to digitize historical or contemporary Urdu print materials for searchability, analysis, or preservation.
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Use this if you need to precisely convert high-resolution images of printed Urdu documents into machine-readable text.
Not ideal if your primary need is for handwritten Urdu text recognition or if you require an extremely fast, high-throughput solution for low-resolution images.
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Language
Python
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Last pushed
Oct 08, 2024
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