Other PDF Issues

How to Fix Acrobat Out-of-Memory Errors During Large OCR Jobs

Steven ParkerSteven Parker Nov 3, 2026 869 views

Question details

Users need to resolve crashes, memory limit limits, and recognition service errors when attempting to run OCR on exceptionally large scanned PDF files.

How to Fix Acrobat Out-of-Memory Errors During Large OCR Jobs
Product
Adobe Acrobat
Device & OS
not provided
Scenario
Running Optical Character Recognition (OCR) on high-resolution or multi-page scanned PDF documents to make the text selectable and searchable.
Observed behavior
The 32-bit version of the application hits its memory limit during processing, causing recognition service errors and interrupting the text recognition job.
Before you start

Save your current progress and ensure your system has enough available RAM by closing unnecessary background applications. Consider backing up your original large PDF before splitting or repairing the file.

Solution 1Recommended

Update and Repair the Acrobat Installation

Installing the latest application updates and repairing broken installation files can resolve memory leaks and OCR service bugs.

Software updates often contain essential bug fixes for memory management and OCR engine stability. Ensuring your software is up-to-date is the most effective first step.

1
Check for updates

Open Adobe Acrobat, click on the 'Help' menu at the top of the window, and select 'Check for Updates'. Follow the prompts to install the newest version (such as version 20.009.20067 or later).

2
Repair the installation

Once the application is fully updated, return to the 'Help' menu and click on 'Repair Installation'.

3
Restart and test

Allow the repair process to complete, restart your computer to clear cached memory, and then try running the OCR process on your PDF again.

Update and Repair the Acrobat Installation
Application Architecture: If you continue to experience this issue on extremely large files, consider migrating to a 64-bit version of your PDF software, which is not restricted by the 2GB memory ceiling of 32-bit applications.
Efficient PDF OCR Alternative

Use WPS Office to Perform OCR on Large PDFs

WPS Office features a lightweight, highly optimized PDF editor equipped with robust OCR capabilities. It efficiently processes large scanned documents without consuming excessive system resources, bypassing typical out-of-memory crashes.

  1. 1. Open your PDF: Download and install WPS Office, then open your large scanned PDF document using the WPS PDF module.
  2. 2. Access the OCR tool: Navigate to the 'Tools' tab on the top ribbon and select the 'OCR' feature.
  3. 3. Configure OCR settings: Choose the document's primary language and select your preferred extraction mode, such as extracting plain text or converting the file into a searchable PDF.
  4. 4. Process the document: Click 'Start OCR' to process the file efficiently utilizing WPS's optimized text recognition engine.
Lightweight architecture minimizes out-of-memory errors during heavy processingHighly accurate Optical Character Recognition (OCR) for large scanned filesFully compatible with standard PDF formats and Adobe Acrobat documentsSeamless and familiar interface for managing, editing, and converting PDFs
microsoft office alternative - wps office

Frequently Asked Questions

Why does a 32-bit application run out of memory during OCR?

32-bit applications have a strict 2GB limit on the amount of RAM they can utilize. Performing memory-intensive tasks like OCR on high-resolution or multi-page scanned PDFs quickly maxes out this limit, triggering crashes or recognition service errors.

Will switching to a 64-bit application fix PDF memory errors?

Yes. A 64-bit version of a PDF application can access significantly more system memory (RAM). This allows it to handle massive document processing and continuous OCR tasks without hitting the low memory ceiling that restricts 32-bit software.

How can I reduce the memory required to OCR a PDF document?

You can optimize your PDF to reduce its file size and image resolution before running OCR. Additionally, splitting the document into smaller page ranges or closing other background applications will free up available system resources.