ArOCR Open-Source Arabic OCR Model - Freely Convert Images with Arabic Text into Editable Text

Arocr

Developed by gagan3012

ArOCR is an Arabic Optical Character Recognition (OCR) model capable of converting images containing Arabic text into editable text format.

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Release Time : 4/19/2022

Model Overview

This model specializes in Arabic optical character recognition tasks and achieves a low Character Error Rate (CER) on test datasets.

High-precision Arabic recognition

Achieves an outstanding Character Error Rate (CER) of only 0.02 on test datasets.

End-to-end image to text

Directly extracts Arabic text from images without intermediate processing steps.

Arabic text recognition

Text extraction from images

Handwriting recognition (inferred)

Document digitization

Arabic document scanning

Convert paper Arabic documents into editable electronic text

Character error rate as low as 2%

Mobile applications

Real-time text translation

Capture Arabic text via camera and translate in real-time

Training Loss	Epoch	Step	Validation Loss	Cer
1.6164	0.59	1000	1.4109	0.5793
0.3434	1.18	2000	0.3876	0.2176
0.1679	1.77	3000	0.2262	0.1186
0.0816	2.37	4000	0.1274	0.0634
0.0421	2.96	5000	0.0817	0.0381
0.0067	3.55	6000	0.0520	0.0265
0.0044	4.14	7000	0.0469	0.0215
0.0027	4.73	8000	0.0407	0.0200

Property	Details
Model Type	ArOCR
Task	Optical Character Recognition (image - to - text)
Test CER	0.02

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