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Image-To-Text-OCR-extension-for-ChatGPT

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Image to Text for ChatGPT is an OCR extension designed specifically for the Chrome browser. It quickly and accurately recognizes text in images and automatically fills it into the ChatGPT input box, all running locally to ensure user data privacy.

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What is Image-To-Text-OCR-extension-for-ChatGPT?

Born out of a real-world need for an efficient image-to-text solution, this extension aims to eliminate the tedious process of switching between multiple tools when using OCR in ChatGPT. It supports more than 12 major languages, with an average processing time of about 5 seconds or less. Users can trigger recognition by uploading files, dragging and dropping images, or directly pasting screenshots from the clipboard (Ctrl+V), and the results are automatically populated into the ChatGPT text box. All OCR operations are powered by Tesseract.js and performed locally within the browser, without uploading any image or text data, ensuring that information never leaves your device. Additionally, an optional third-party embedded solution (Pieces.app) is available to enhance recognition accuracy and preserve formatting for code and other format-sensitive content.

Key features

  • Supports uploading image files or dragging and dropping pictures for OCR recognition, then automatically populates the result into the ChatGPT input box.

  • Allows direct pasting of screenshots from the clipboard (Ctrl+V), enabling zero-click, rapid recognition.

Use cases and audience

Ideal for users who frequently need to convert screenshots/images into text for ChatGPT, especially technical professionals, developers, and researchers who prioritize privacy and operational efficiency.

  • Quickly extract text from screenshots and images, automatically filling it into the ChatGPT input box—eliminating the need for manual entry or tool switching.
  • When processing image content that includes Python code or other formats requiring preservation, enable the third-party Pieces.app embedding solution to improve recognition accuracy.
  • Perform OCR locally to ensure that data does not leave your device in privacy-sensitive scenarios, such as internal documents or screenshots of unpublished code.
Input

Local image files, dragged-and-dropped images, and screenshots from the clipboard.

Output

The recognized plain text is automatically filled into the current ChatGPT input box on the page.

Frequently asked questions

During the OCR process, does my image data ever leave my local device?

Yes, the main workflow runs entirely locally in the browser using Tesseract.js, and no OCR processing involves uploading any data; data is only processed according to its independent policy when the optional Pieces.app embedding solution is actively enabled.

Does it support multilingual recognition, including Chinese?

Supported—updated to support more than 12 major languages.

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