https://uditasopa.netlify.app/tag/document-intelligence/Document IntelligenceWowchemy (https://wowchemy.com)en-us2026Fri, 17 Oct 2025 00:00:00 +0000https://uditasopa.netlify.app/media/avatar.pnghttps://uditasopa.netlify.app/tag/document-intelligence/https://uditasopa.netlify.app/project/ocr_detectors_with_vlms/Fri, 17 Oct 2025 00:00:00 +0000https://uditasopa.netlify.app/project/ocr_detectors_with_vlms/<h2 id="features">Features</h2> <p>The Vision Text Extractor is a powerful CLI tool that combines multiple AI providers for optimal text extraction from images and documents. Whether you need privacy-first local processing or high-accuracy cloud-based solutions, this tool has you covered.</p> <h3 id="key-capabilities">Key Capabilities:</h3> <ul> <li><strong>Multiple AI Providers</strong>: Choose from local SmolVLM/LLaVA models or cloud-based OpenAI GPT-4o</li> <li><strong>Privacy-First Design</strong>: Local processing keeps your sensitive data on your machine</li> <li><strong>Flexible Input Options</strong>: Process local files or images from web URLs</li> <li><strong>Custom Prompts</strong>: Extract specific information with tailored extraction prompts</li> <li><strong>Easy Setup</strong>: One-command installation using Pixi package manager</li> </ul> <h2 id="quick-start">Quick Start</h2> <p>Getting started with Vision Text Extractor is simple:</p> <pre><code class="language-bash"># Clone and install git clone https://github.com/udit-asopa/vision-text-extractor.git cd vision-text-extractor pixi install # Setup pixi run setup-smolvlm    # Hugging Face SmolVLM (~2GB) pixi run setup-ollama     # Ollama LLaVA (~4GB) # Quick demo pixi run demo-ocr-huggingface # Use with your images refer this for quick Commands: # https://github.com/udit-asopa/vision-text-extractor/tree/main?tab=readme-ov-file#-quick-commands pixi run ocr_llm path/to/your/image.jpg </code></pre>