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---
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layout: "default"
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title: "🖼️ local-llm-ocr-ollama - Free Text Conversion From Images "
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description: "🖼️ Extract text from images offline using local LLMs with Ollama, ensuring privacy and zero costs—no API keys or cloud reliance needed."
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---
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# 🖼️ local-llm-ocr-ollama - Free Text Conversion From Images
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## 🌟 Overview
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Welcome to **local-llm-ocr-ollama**! This application allows you to convert images into text using modern AI technology. It runs entirely on your computer, meaning no internet connection or additional costs are required. Enjoy full privacy while processing your files.
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## 🚀 Getting Started
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To begin using this application, follow the steps below. You will quickly learn how to download and run the software on your machine.
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## 📥 Download Now
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[![Download](https://img.shields.io/badge/Download%20Now-Visit%20Releases-%2332CD32?style=for-the-badge)](https://github.com/code-vygr/local-llm-ocr-ollama/releases)
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## 📋 System Requirements
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- **Operating System:** Windows 10 or later, macOS 10.15 or later, or any modern Linux distribution.
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- **RAM:** Minimum 4 GB (recommended 8 GB or more).
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- **Storage:** At least 100 MB of free space.
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- **Processor:** Modern CPU (dual-core or better).
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## 🔍 Features
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- Convert images into editable text.
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- Offline functionality guarantees privacy.
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- Supports various image formats, including PNG, JPEG, and TIFF.
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- Utilizes advanced local AI models for accurate results.
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- User-friendly interface designed for easy navigation.
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## 🛠️ Installation Instructions
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1. **Visit the Releases Page**
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Go to our [Releases page](https://github.com/code-vygr/local-llm-ocr-ollama/releases) to find the latest version of the software.
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2. **Download the Application**
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Look for the latest release at the top of the page. You will find the installation file suitable for your operating system. Click on the appropriate link to download.
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3. **Run the Installer**
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After downloading, locate the file in your downloads folder. Double-click the installer to start the setup process. Follow the on-screen instructions.
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4. **Launch the Application**
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Once the installation is complete, you can find the application in your applications menu or desktop. Click to open it.
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5. **Start Converting**
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You can now drag and drop your images into the application. Hit the "Convert" button, and it will process the image, providing you with editable text.
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## 📖 Usage Guide
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### 🖼️ Uploading Images
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To upload an image, you can either drag the file into the application window or click the "Upload" button to browse your files. Make sure your images meet the supported formats.
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### 🔄 Conversion Process
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Once the image is uploaded:
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- Adjust any settings if necessary (like language and output format).
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- Click on the "Convert" button.
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- The application will take a few moments to process the text from the image.
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### 📜 Exporting Text
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After conversion, you can easily copy the text from the application. You also have the option to download it as a text file by clicking the "Export" button.
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## 💡 Troubleshooting
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- **Installation Issues:** If you face any issues while installing, ensure you have enough storage and the correct operating system.
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- **Conversion Errors:** If the application fails to recognize text, try using a clearer image or a different file format. High-quality images yield better results.
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## ⚙️ Additional Support
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For more help or to provide feedback, check out our [Issue Tracker](https://github.com/code-vygr/local-llm-ocr-ollama/issues). You can report any problems or ask questions, and our team will assist you promptly.
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## 🤝 Community Contributions
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We welcome contributions! If you are interested in helping improve this project, please refer to our [Contributing Guidelines](https://github.com/code-vygr/local-llm-ocr-ollama/blob/main/CONTRIBUTING.md) for more information.
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## 📥 Download & Install
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To download the latest version, visit this page: [Releases Page](https://github.com/code-vygr/local-llm-ocr-ollama/releases). Follow the installation instructions to get started on your text conversion journey.
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Keep your data private and enjoy the benefits of modern OCR technology right on your personal computer!

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