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OCR - Image Reader Review

OCR - Image Reader is a Firefox browser extension that performs optical character recognition (OCR) on selected regions of a window using the Tesseract.js and IBM Granite Docling engines.

shipped Aug 20, 2026codefree
Domain rating96Monthly visits11.2M/mo
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OCR - Image Reader — product screenshot

Why it matters

1Utilizes Tesseract.js and IBM Granite Docling OCR engines.
2Supports over 100 languages with auto-detection for English, Arabic, and Japanese.
3Available as a free Firefox browser extension.
4Processes OCR locally within the browser, requiring no server-side interaction.

About OCR - Image Reader

Platforms
Firefox
Target Audience
Users needing to extract text from images and documents

Screenshots

overview

What is OCR - Image Reader?

OCR - Image Reader is a optical character recognition (OCR) tool developed by Brian Girko that enables Firefox users to extract text from images and restricted web content. It operates as a browser extension, leveraging the Tesseract.js and IBM Granite Docling engines to convert visible text within selected screen regions into editable digital format.

features

Key Features of OCR - Image Reader

OCR - Image Reader integrates several features designed for efficient in-browser text extraction. It utilizes advanced OCR engines and supports a wide array of languages, ensuring broad applicability for users needing to digitize text from various sources.

  • OCR processing powered by Tesseract.js and IBM Granite Docling engines.
  • Support for over 100 languages, including auto-detection for English, Arabic, and Japanese.
  • Offline processing capability after initial language data download.
  • Progress bar display for each detection module during OCR operations.
  • No server-side interaction, ensuring local data processing and enhanced privacy.
  • Ability to select a specific area on a webpage for targeted text recognition.
  • Functionality to perform OCR on internal browser pages via screenshots.
  • Support for dropping multiple local images for batch OCR processing.

use cases

Who Should Use OCR - Image Reader?

OCR - Image Reader is primarily designed for web development and IT professionals, as well as general users requiring reliable text extraction capabilities directly within the Firefox browser environment. Its local processing and broad language support make it suitable for various text digitization tasks.

  • Web development and IT professionals needing to extract text from web content or images.
  • Users requiring text extraction from PDF documents or Powerpoint slides embedded in web pages.
  • Individuals needing to copy text from web pages where direct selection and copying are forbidden.
  • Anyone converting scanned documents or printed images to editable text format.
  • Researchers and students extracting content for academic or professional purposes.

how to use

How to Use OCR - Image Reader

To begin using OCR - Image Reader, users must install the extension from the Mozilla Add-ons store. Once installed, the tool can be activated to select a screen region and initiate text recognition.

  • 1Install the 'OCR - Image Reader' extension from the Mozilla Add-ons store.
  • 2Navigate to the webpage or document containing the image or restricted text.
  • 3Click the extension icon in the Firefox toolbar to activate the selection tool.
  • 4Drag to select the specific area on the screen containing the text to be recognized.
  • 5Wait for the progress bar to complete as the Tesseract.js or IBM Granite Docling engine processes the image.
  • 6Review and copy the extracted text displayed in the extension's interface.

pricing

OCR - Image Reader Pricing & Plans

OCR - Image Reader is available as a free extension. While some historical data suggested a 'Subscription' license, current official sources, including the Firefox Add-ons page, confirm it is provided without cost.

  • Free: Full functionality without any cost or subscription requirements.

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Pros

  • +Free to use with no subscription costs.
  • +Performs OCR locally within the browser, enhancing privacy by avoiding server-side data transmission.
  • +Supports over 100 languages, including auto-detection for key languages.
  • +Integrates two robust OCR engines: Tesseract.js and IBM Granite Docling.
  • +Allows text extraction from restricted web pages where direct copying is disabled.
  • +Supports batch processing of multiple local images for OCR.

Cons

  • −Limited to the Firefox browser environment.
  • −User reviews are currently sparse on the official Firefox Add-ons page, making comprehensive user reception assessment difficult.
  • −Accuracy may vary compared to high-end, paid standalone OCR software for highly degraded or complex documents.
  • −Requires initial download of language data for offline processing.

Similar Tools

OCR - Image Reader vs Competitors

OCR - Image Reader competes within the browser-based OCR extension market, offering local processing and broad language support. Its primary distinction lies in its Firefox-specific integration and the use of both Tesseract.js and IBM Granite Docling engines.

1
Blackbox - Select & Copy Text↗

Allows users to copy text from videos, PDFs, images, and more by selecting an area, optimized for technical text and code.

Provides a very similar 'select and copy' workflow to OCR - Image Reader, but is primarily a Chrome extension and is particularly noted for its ability to preserve code formatting.

2
Grabtext — Copy Text From Any Image or Video Frame (OCR)↗

Performs offline OCR directly on your computer, supporting 8 languages, and allows editing of extracted text before copying.

Like OCR - Image Reader, it performs local OCR using Tesseract. It differentiates by offering more post-processing options for the extracted text and explicitly states no network requests are made.

3
PickText OCR↗

Extracts text from any image on a webpage using local OCR processing (Tesseract.js WASM), with options for right-click, screenshot, or region selection.

Directly comparable as it also uses local Tesseract.js for OCR on selected regions, offering a very similar privacy-focused, in-browser experience to OCR - Image Reader.

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