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PDF Editing Issues

Fix Arabic Text Highlighting Not Working in Acrobat for iPhone

Nimra MalikNimra Malik Oct 19, 2026 868 views

Question details

The user is unable to highlight Arabic text in scanned PDFs using the Acrobat mobile app, while English text highlighting works normally.

Fix Arabic Text Highlighting Not Working in Acrobat for iPhone
Product
Adobe Acrobat
Device & OS
iOS
Scenario
Attempting to select and highlight Arabic text within a scanned PDF document on an iPhone.
Observed behavior
The highlighting tool treats the scanned Arabic document as a flat image, preventing specific text selection until text recognition (OCR) is manually applied.
Before you start

Ensure your Acrobat app is updated to the latest version and that your iPhone is connected to the internet, as some mobile text recognition features require cloud processing.

Solution 1Recommended

Run Text Recognition (OCR) Before Highlighting

Applying OCR converts the scanned document image into selectable text, enabling the highlighting tool to recognize the Arabic characters.

Scanned documents do not inherently contain readable text data. By running text recognition, the app scans the image and overlays selectable text.

Note that while the app can recognize the text, right-to-left languages like Arabic may experience imperfect highlighting behaviors on mobile platforms optimized for English.

1
Open the scanned PDF

Launch the Acrobat app on your iPhone and open the scanned PDF document containing the Arabic text.

2
Activate the highlight tool

Tap the highlighting tool icon located in the bottom toolbar of the application.

3
Run text recognition

When a prompt appears informing you that the content is an image, tap the option to run text recognition.

4
Highlight the text

Wait for the process to finish. Once a confirmation message appears, you can now tap and drag over the Arabic text to apply the highlight.

Highlighting Direction: Due to rendering limitations, the recognized Arabic text might highlight from left to right instead of the natural right to left.

Use WPS Office to Extract and Highlight Text in Scanned PDFs

WPS Office offers robust PDF tools, including advanced OCR (Optical Character Recognition), allowing you to seamlessly convert scanned documents into selectable text for accurate highlighting and editing.

  1. 1. Install WPS Office: Download and launch the free WPS Office app on your mobile device or computer.
  2. 2. Open your PDF: Navigate to your files and open the scanned PDF document using the WPS PDF viewer.
  3. 3. Apply OCR: Select the OCR (Text Recognition) tool from the bottom menu to process the scanned image into readable text.
  4. 4. Highlight text easily: Once the document is converted, tap the Annotation menu and use the Highlight tool to select your text.
Built-in OCR technology to effortlessly convert scanned PDFs into selectable, editable text.High compatibility with standard PDF formats and all Microsoft Office document types.Lightweight, user-friendly mobile and desktop applications for editing on the go.Comprehensive annotation tools for seamless text highlighting, underlining, and commenting.
microsoft office alternative - wps office

Frequently Asked Questions

Why can't I highlight text in my scanned PDF?

Scanned PDFs are essentially flat images or photographs of a document. To make the text selectable for highlighting, you must first apply Optical Character Recognition (OCR) to convert the image pixels into recognizable text characters.

Does mobile OCR perfectly support Arabic text?

While many mobile PDF editors can recognize Arabic text, their primary rendering engines are often optimized for Latin-based languages. This means the text can be selected, but the highlight cursor might move from left to right rather than natively from right to left.

How do I know if my PDF requires text recognition?

If you try to tap and hold a word to select it and the entire page is selected as one single block, or if no text cursor appears at all, your document is a scanned image and requires OCR processing before you can interact with the text.