About
Ollama OCR is an efficient Optical Character Recognition (OCR) tool designed to convert images into editable text using advanced vision language models. Available both as a Python package and a Streamlit web application, Ollama OCR allows users to extract text in various formats while maintaining the original content's structure and formatting. This tool is ideal for researchers, students, and professionals needing accurate text extraction from images quickly.
Highlights
- Multiple Vision Models Support: Choose between LLaVA 7B for real-time processing and Llama 3.2 Vision for complex documents, ensuring versatility in image processing tasks.
- Output Formats: Extract text in several formats, including Markdown for formatted text, Plain Text for simplicity, JSON for structured data, and other organized formats for key-value pairs.
- Batch Processing: Process multiple images in parallel, which saves time and boosts productivity.
- Custom Prompts: Enhance your results by overriding default prompts and specifying what text to extract, targeting particular items like dates and names.
- Image Preprocessing: Improve accuracy with features that resize and normalize images, making it easier to process documents of varying quality.
By utilizing Ollama OCR, users can benefit from streamlined workflows and effective text extraction capabilities that cater to a variety of needs, all while promoting productivity and efficiency.