Free Arabic PDF OCR Tool – Extract Arabic Text from Scanned PDFs

Convert scanned and image-based PDFs with Arabic text into editable, searchable text

Reliable OCR for Everyday Documents

Arabic PDF OCR is a free online tool that uses optical character recognition (OCR) technology to extract Arabic text from scanned or image-based PDF files. It offers free page-by-page OCR with optional premium bulk processing.

Our Arabic PDF OCR tool helps you convert scanned or image-based PDF pages containing Arabic text into editable and searchable text using advanced AI-powered OCR. Upload your PDF, select Arabic as the OCR language, and start the conversion. The tool is optimized for Arabic script, including right-to-left (RTL) text flow, connected letter forms, and contextual character shapes. It can recognize Arabic text with or without diacritics depending on scan quality. Extracted text can be downloaded as plain text, Word documents, HTML, or searchable PDF. The free version processes one page at a time, while premium bulk Arabic PDF OCR is available for large documents. All OCR processing happens online with no software installation, and uploaded files are automatically deleted after conversion.Learn More

Get Started
Batch OCR

Step 1

Select Language

Step 2

Select OCR Engine

Select Layout

Step 3

Step 4

Start OCR
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What Arabic PDF OCR Does

  • Extracts Arabic text from scanned PDF files
  • Recognizes Arabic script with right-to-left (RTL) direction
  • Handles connected Arabic letters and contextual shapes
  • Extract Arabic text from PDF pages one at a time for free
  • Premium bulk OCR for multi-page Arabic PDFs
  • Converts scanned Arabic PDFs into editable and searchable text
  • Secure online processing with automatic file deletion

How to Use Arabic PDF OCR

  • Upload your scanned or image-based PDF
  • Select Arabic as the OCR language
  • Choose the PDF page to process
  • Click 'Start OCR' to extract Arabic text
  • Copy or download the extracted Arabic text

Why People Use Arabic PDF OCR

  • Convert scanned Arabic documents into editable text
  • Extract Arabic text from PDFs that cannot be copied
  • Prepare Arabic PDF content for editing, translation, or reuse
  • Digitize printed Arabic books, forms, or invoices
  • Save time compared to manual retyping of Arabic text

Arabic PDF OCR Features

  • High-accuracy Arabic text recognition
  • Optimized OCR engine for Arabic script and RTL layout
  • Support for Arabic text with or without diacritics
  • Free page-by-page Arabic PDF OCR
  • Premium bulk OCR for large Arabic PDF files
  • Works in all modern web browsers
  • Secure file handling with automatic deletion

Common Use Cases for Arabic PDF OCR

  • Extract Arabic text from scanned PDFs
  • Digitize Arabic invoices, contracts, or official documents
  • Convert academic Arabic papers into editable text
  • Prepare Arabic PDFs for translation or indexing
  • Create searchable Arabic PDF archives

What You Get After Arabic PDF OCR

  • Editable Arabic text extracted from scanned PDFs
  • High recognition accuracy for Arabic language
  • Download options including text, Word, HTML, or searchable PDF
  • Arabic text ready for editing, indexing, or archiving
  • Secure processing with automatic deletion of all files

Who Arabic PDF OCR Is For

  • Students and researchers digitizing Arabic academic papers
  • Professionals working with scanned Arabic PDF documents
  • Translators extracting Arabic text from PDFs before translation
  • Administrators archiving Arabic-language documents

Before and After Arabic PDF OCR

  • Before: Arabic text in scanned PDFs cannot be selected
  • After: Arabic text becomes searchable and editable
  • Before: Arabic PDF content cannot be copied or reused
  • After: OCR extracts Arabic text instantly
  • Before: Archived Arabic PDFs are not machine-readable
  • After: OCR enables indexing and automated processing

Why Users Trust i2OCR for Arabic PDF OCR

  • Free Arabic OCR with page-by-page processing
  • Secure processing with automatic file deletion
  • Accurate recognition of Arabic script and RTL text
  • No software installation required
  • Reliable OCR performance for scanned Arabic PDFs

Important Limitations

  • Free version processes one Arabic PDF page at a time
  • Premium plan required for bulk Arabic PDF OCR
  • Accuracy depends on scan quality, font style, and text clarity
  • Extracted text does not preserve original formatting or images

Other Names for Arabic PDF OCR

Users often search for Arabic PDF to text, scanned Arabic PDF OCR, extract Arabic text from PDF, Arabic PDF text extractor, or OCR Arabic PDF online.


Accessibility & Readability Optimization

Arabic PDF OCR improves accessibility by converting scanned Arabic documents into readable digital text.

  • Screen Reader Friendly: Extracted Arabic text works with assistive technologies that support RTL languages.
  • Searchable Text: Arabic PDF content becomes searchable.
  • Language Accuracy: Optimized specifically for Arabic script, RTL direction, and connected letter forms.

Arabic PDF OCR vs Other Tools

How does Arabic PDF OCR compare to similar tools?

  • Arabic PDF OCR (This Tool): Free page-by-page Arabic OCR with RTL support and premium bulk processing
  • Other PDF OCR tools: Often struggle with Arabic script, connected letters, right-to-left layout, or limited usage per day
  • Use Arabic PDF OCR When: You need fast and accurate Arabic text extraction without installing software

Frequently Asked Questions

Upload your PDF, select Arabic as the OCR language, choose the page, and click 'Start OCR'. The tool converts the scanned page into editable Arabic text.

Yes. The OCR engine is optimized for Arabic right-to-left text direction and preserves correct reading order.

Yes. The tool handles contextual Arabic letter forms where characters change shape depending on their position in a word.

Arabic diacritics are recognized when scan quality and resolution are high, but accuracy may vary for heavily marked texts.

Arabic PDF OCR processes pages one at a time for free. Premium bulk Arabic PDF OCR is available for multi-page documents.

Yes. Arabic PDF OCR is free with page-by-page processing and no registration required.

Scanned PDFs contain images, not selectable text. Arabic PDF OCR converts the image into editable Arabic text.

The maximum supported PDF size is 200 MB.

Most pages are processed within seconds, depending on page complexity, resolution, and file size.

Yes. Uploaded PDFs and extracted Arabic text are automatically deleted within 30 minutes.

If you cannot find an answer to your question, please contact us

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Benefits of Extracting Arabic Text from Scanned PDFs using OCR

The proliferation of scanned documents in PDF format has created a vast archive of information, much of which remains inaccessible due to its image-based nature. This is particularly true for Arabic text, where the complexities of the script and the nuances of its diacritics present unique challenges for automated processing. The importance of Optical Character Recognition (OCR) technology for Arabic text in scanned PDFs cannot be overstated, as it unlocks a wealth of knowledge and facilitates a multitude of applications across various sectors.

One of the primary benefits of OCR for Arabic PDFs is the ability to make these documents searchable. Without OCR, the text within these documents exists solely as an image, rendering keyword searches impossible. This limitation severely hinders research, information retrieval, and knowledge management. By converting the image-based text into machine-readable text, OCR enables users to quickly and efficiently locate specific information within large volumes of scanned documents, saving valuable time and resources. This is especially crucial in fields like historical research, legal studies, and religious scholarship, where access to digitized Arabic manuscripts and texts is becoming increasingly important.

Furthermore, OCR facilitates the editing and manipulation of Arabic text in scanned PDFs. Once the text is recognized, it can be copied, pasted, and modified using standard word processing software. This opens up possibilities for translation, annotation, and content repurposing. Imagine a researcher needing to quote a passage from an old Arabic manuscript. Without OCR, they would be forced to manually transcribe the text, a time-consuming and error-prone process. With OCR, they can simply extract the text and incorporate it into their work with minimal effort. This capability is also invaluable for businesses that need to update or revise existing Arabic documents that are only available in scanned format.

Beyond searchability and editability, OCR plays a crucial role in accessibility. Individuals with visual impairments often rely on screen readers to access digital content. OCR enables these screen readers to interpret the text within scanned Arabic PDFs, making the information accessible to a wider audience. This promotes inclusivity and ensures that individuals with disabilities have equal access to knowledge and resources.

The challenges associated with Arabic OCR are significant. The cursive nature of the script, the presence of numerous diacritics, and the variations in font styles and handwriting can all pose difficulties for OCR engines. However, advancements in machine learning and artificial intelligence have led to significant improvements in the accuracy and reliability of Arabic OCR technology. Continued research and development in this area are essential to further enhance the performance of OCR engines and address the remaining challenges.

In conclusion, the importance of OCR for Arabic text in scanned PDFs extends far beyond simple text recognition. It empowers users to search, edit, and access information that would otherwise be locked within image-based documents. It facilitates research, promotes accessibility, and unlocks the potential of vast archives of Arabic knowledge. As the volume of scanned Arabic documents continues to grow, the role of OCR will only become more critical in bridging the gap between the analog and digital worlds and ensuring that this valuable information is readily available for generations to come.

Your files are safe and secure. They are not shared and are automatically deleted after 30 min