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Trocr Small Printed

Developed by Xenova
TrOCR-small-printed is a compact optical character recognition (OCR) model specifically designed for printed text recognition.
Downloads 79
Release Time : 10/30/2023

Model Overview

This Transformer-based model specializes in extracting printed text from images, suitable for various OCR applications.

Model Features

Printed Text Recognition
Specially optimized for printed text recognition with high accuracy.
Compact Model
Small model size suitable for deployment in resource-constrained environments.
ONNX Compatibility
Provides ONNX format weights for easy deployment using Transformers.js on web platforms.

Model Capabilities

Printed Text Recognition
Image-to-Text
OCR

Use Cases

Document Digitization
Scanned Document Text Extraction
Convert scanned printed documents into editable text
High-precision text recognition
Automated Processing
Form Data Extraction
Extract structured data from printed forms
Improved data processing efficiency
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