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Trocr Base Finetune Numbers

Developed by ANANDHU-SCT
TrOCR is a Transformer-based optical character recognition model designed to extract text content from images.
Downloads 23
Release Time : 4/13/2024

Model Overview

TrOCR is an end-to-end OCR model that combines vision Transformer and text Transformer, capable of directly recognizing text from images without complex preprocessing steps.

Model Features

End-to-End Recognition
Directly recognizes text from images without the complex preprocessing steps of traditional OCR systems.
Transformer Architecture
Combines vision Transformer and text Transformer to provide powerful feature extraction capabilities.
High Accuracy
Performs excellently in various printed text recognition tasks.

Model Capabilities

Image Text Recognition
Printed Text Extraction
Multilingual Text Recognition

Use Cases

Document Digitization
Scanned Document OCR
Convert scanned PDF or image files into editable text.
High-precision text conversion
Automated Processing
Table Data Extraction
Automatically extract structured data from image tables.
Reduces manual input errors
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