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Trocr Base Printed
TrOCR is a Transformer-based OCR model specifically designed for recognizing printed text.
Downloads 40
Release Time : 10/30/2023
Model Overview
TrOCR is a Transformer-based OCR model tailored for recognizing printed text from images. It combines visual and language processing capabilities to efficiently convert text in images into editable text formats.
Model Features
Transformer-Based Architecture
Leverages the powerful capabilities of Transformers, combining vision and language processing for efficient text recognition.
Optimized for Printed Text
The model is optimized for printed text, enabling accurate recognition of various printed fonts.
Compatible with Transformers.js
The model has been converted to ONNX format and can be used on the web via the Transformers.js library.
Model Capabilities
Text recognition in images
Printed text conversion
Multilingual support (inference)
Use Cases
Document Digitization
Scanned Document Conversion
Convert scanned printed documents into editable text formats.
Improves document processing efficiency and reduces manual input errors.
Office Automation
Invoice Recognition
Automatically identifies key information in invoices, such as amounts and dates.
Simplifies financial processes and speeds up data entry.
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