using IronOcr; using IronSoftware.Drawing; // We can delve deep into OCR results as an object model of // Pages, Barcodes, Paragraphs, Lines, Words and Characters // This allows us to explore, export and draw OCR content using other APIs/ var ocrTesseract = new IronTesseract(); ocrTesseract.Configuration.ReadBarCodes = true; using var ocrInput = new OcrInput(); var pages = new int[] { 1, 2 }; ocrInput.LoadImageFrames("example.tiff", pages); OcrResult ocrResult = ocrTesseract.Read(ocrInput); foreach (var page in ocrResult.Pages) { // Page object int PageNumber = page.PageNumber; string PageText = page.Text; int PageWordCount = page.WordCount; // null if we dont set Ocr.Configuration.ReadBarCodes = true; OcrResult.Barcode[] Barcodes = page.Barcodes; AnyBitmap PageImage = page.ToBitmap(ocrInput); int PageWidth = page.Width; int PageHeight = page.Height; double PageRotation = page.Rotation; // angular correction in degrees from OcrInput.Deskew() foreach (var paragraph in page.Paragraphs) { // Pages -> Paragraphs int ParagraphNumber = paragraph.ParagraphNumber; string ParagraphText = paragraph.Text; AnyBitmap ParagraphImage = paragraph.ToBitmap(ocrInput); int ParagraphX_location = paragraph.X; int ParagraphY_location = paragraph.Y; int ParagraphWidth = paragraph.Width; int ParagraphHeight = paragraph.Height; double ParagraphOcrAccuracy = paragraph.Confidence; OcrResult.TextFlow paragrapthText_direction = paragraph.TextDirection; foreach (var line in paragraph.Lines) { // Pages -> Paragraphs -> Lines int LineNumber = line.LineNumber; string LineText = line.Text; AnyBitmap LineImage = line.ToBitmap(ocrInput); int LineX_location = line.X; int LineY_location = line.Y; int LineWidth = line.Width; int LineHeight = line.Height; double LineOcrAccuracy = line.Confidence; double LineSkew = line.BaselineAngle; double LineOffset = line.BaselineOffset; foreach (var word in line.Words) { // Pages -> Paragraphs -> Lines -> Words int WordNumber = word.WordNumber; string WordText = word.Text; AnyBitmap WordImage = word.ToBitmap(ocrInput); int WordX_location = word.X; int WordY_location = word.Y; int WordWidth = word.Width; int WordHeight = word.Height; double WordOcrAccuracy = word.Confidence; foreach (var character in word.Characters) { // Pages -> Paragraphs -> Lines -> Words -> Characters int CharacterNumber = character.CharacterNumber; string CharacterText = character.Text; AnyBitmap CharacterImage = character.ToBitmap(ocrInput); int CharacterX_location = character.X; int CharacterY_location = character.Y; int CharacterWidth = character.Width; int CharacterHeight = character.Height; double CharacterOcrAccuracy = character.Confidence; // Output alternative symbols choices and their probability. // Very useful for spellchecking OcrResult.Choice[] Choices = character.Choices; } } } } }

Published December 13, 2023

Arabic Text Recognition (Free & Online Tools)

Introduction

In our rapidly advancing digital age, it's essential to recognize Arabic text efficiently using Optical Character Recognition. Arabic is a language that matters globally, so pulling out Arabic text from pictures and scans is crucial. It's like connecting the deep history and beauty of the Arabic language with today's fast-paced digital life.

As we mix old traditions with new tech, having good Arabic OCR tools for Arabic text recognition is key. These tools help us communicate better, find information quickly, and share knowledge. Let's explore these tools and see how they tackle the unique challenges of recognizing Arabic text, making our language and culture smoothly fit into our tech-filled lives.

In this article, we'll explore the process of Arabic text recognition using three prominent online OCR tools – i2OCR, Online OCR, and Free OCR. Following this exploration, we introduce IronOCR, a comprehensive OCR solution supporting an impressive 127+ global languages, including Arabic.

Difficulty in Arabic OCR

The differences in writing direction, character shapes, vowel representation, ligatures, word structure, contextual variations, font styles, and the complexities of training data contribute to the unique challenges faced in developing Arabic OCR software for accurately extracting text from Arabic compared to English.

Advances in OCR technology, including machine learning and context-aware algorithms, are continually addressing these challenges. However, they highlight the importance of tailoring OCR systems to the linguistic and typographic characteristics of the language in question. Keep that in mind, and there are many free and paid online.

Online Arabic OCR Tools

1. i2OCR

Website: i2OCR

i2OCR stands out as a user-friendly online OCR tool with dedicated support for Arabic text recognition making it one of the best Arabic OCR tool. The step-by-step guide below outlines the process of doing Arabic OCR online using i2OCR:

Navigation: Visit the i2OCR website.
Language Selection: Choose the language set to Arabic.
Upload: Upload the image or PDF containing Arabic text.
Conversion: Click the "Extract Text" button to initiate the OCR process.
Download: Once processed, download the extracted Arabic text. You can download it in PDF, Doc, Text, and HTML formats.

i2OCR's intuitive interface and language selection make it a convenient choice for users seeking a straightforward Arabic text recognition tool.

2. Online OCR Converter

Website: Online OCR Converter

Online OCR Converter is a web-based tool supporting multiple languages, including Arabic. The following steps guide users through the process of extracting Arabic text using Online OCR Converter:

Access: Visit the Online OCR Converter website.
Upload: Click on the "Select file" button to upload files, whether the image or scanned document like Arabic PDF.
Language Setting: Choose Arabic as the language setting.
Conversion: Click the "Convert Now" button to initiate text extraction.
Download: After processing, download the extracted Arabic text.

Online OCR Converter's simplicity and broad language support make it an accessible choice for users with varying levels of technical expertise.

3. Convertio

Website: Convertio

Convertio is another online tool supporting Arabic text recognition. It also supports German OCR, Russian OCR, Japanese OCR, and many more. The straightforward interface makes it easy for users to upload images and obtain text outputs. Here's a step-by-step guide:

Upload: Click the "Choose file" button to upload the image file.
Language Setting: Select the language setting to OCR Arabic.
Conversion: Click on the "Recognize" button to start the process. You can also select the output format for the recognized text.
Download: Once processed, download the extracted Arabic text.

Convertio OCR's simplicity and Arabic language support make it a suitable option for users looking for a quick and hassle-free OCR solution.

Introducing IronOCR

While free online OCR tools to recognize text provide accessible solutions, IronOCR stands out as a comprehensive OCR tool supporting 127+ languages, including Arabic character recognition.

IronOCR emerges as a comprehensive OCR solution with a rich set of capabilities. Its support for a vast array of languages, including Arabic, coupled with advanced machine learning algorithms, versatility, and ease of use, positions IronOCR as a powerful tool for diverse OCR applications. Whether you're working on a small-scale project or a large-scale enterprise application, IronOCR's capabilities make it a valuable asset for accurate and efficient text extraction, particularly in the context of Arabic script recognition.

Key Features

Here are some key features of IronOCR:

Multilingual Support: IronOCR covers an extensive range of languages, ensuring versatility for projects with diverse language requirements.
Accuracy: IronOCR employs advanced machine learning algorithms, guaranteeing precise text extraction from complex images or documents.
Ease of Use: IronOCR provides a user-friendly API, simplifying integration into applications and workflows.
Versatility: Whether extracting Arabic text from scanned documents, images, or PDFs, IronOCR offers a robust and flexible solution.

Whether extracting Arabic text from scanned documents, images, or PDFs, IronOCR, functioning as a powerful document, image or PDF converter, offers a robust and flexible solution.

The integration of advanced machine learning and computer vision algorithms further enhances its capabilities, allowing for custom training tailored to the intricacies of Arabic text. This adaptability enables IronOCR to interpret diacritic marks accurately, handle variations in font styles, and continuously improve its recognition accuracy. Overall, IronOCR emerges as a sophisticated and versatile tool equipped to meet the specific demands of Arabic text extraction with precision and efficiency.

IronOCR Code Example

IronOCR simplifies extracting Arabic text from images and scanned documents, setting Arabic as OCR's official language. Below is a basic example using C# to demonstrate how to perform Arabic text recognition with IronOCR

using IronOcr;
var ocrTesseract = new IronTesseract();
ocrTesseract.Language = OcrLanguage.Arabic;
using (var ocrInput = new OcrInput(@"images\arabic.gif"))
{
    var ocrResult = ocrTesseract.Read(ocrInput);
    Console.WriteLine(ocrResult.Text);
}

using IronOcr;
var ocrTesseract = new IronTesseract();
ocrTesseract.Language = OcrLanguage.Arabic;
using (var ocrInput = new OcrInput(@"images\arabic.gif"))
{
    var ocrResult = ocrTesseract.Read(ocrInput);
    Console.WriteLine(ocrResult.Text);
}

Imports IronOcr
Private ocrTesseract = New IronTesseract()
ocrTesseract.Language = OcrLanguage.Arabic
Using ocrInput As New OcrInput("images\arabic.gif")
	Dim ocrResult = ocrTesseract.Read(ocrInput)
	Console.WriteLine(ocrResult.Text)
End Using

VB C#

For more detailed information on OCR Arabic using IronOCR, please visit Arabic OCR in C# .NET.

Conclusion

Arabic text recognition is a critical component of our digital landscape, and free online OCR tools provide accessible solutions for users with varying needs. These tools cater to different preferences, from the user-friendly i2OCR to the web-based simplicity of Online OCR and Free OCR. However, for a comprehensive solution with support for 127+ languages, including Arabic, IronOCR proves to be a powerful and versatile choice. Whether you're working on a personal project or a large-scale application, IronOCR's accuracy and flexibility make it a valuable addition to the OCR toolkit, ensuring seamless Arabic text extraction in diverse scenarios.

IronOCR stands out as a formidable OCR solution, skillfully addressing the unique challenges of Arabic text recognition. By incorporating the robust Tesseract OCR engine, IronOCR demonstrates a commitment to overcoming the complexities of Arabic script, including right-to-left writing direction, ligatures, and contextual variations.

IronOCR provides a free trial, visit the official IronOCR website.