imanoop7/Ollama-OCR

Health v2 · maintenance only

Flags: no_releases

Adoption not part of the score

2780 stars · 322 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-30, confidence not recorded

A Python package and Streamlit web app that performs OCR on images and PDFs using vision language models served through Ollama. It supports multiple vision models (LLaVA, Llama 3.2 Vision, Granite3.2-vision, Moondream, MiniCPM-V) and output formats like Markdown, JSON, and tables.

Use cases

• extract text from images using local vision models
• convert scanned pdfs to markdown
• ocr documents without cloud services
• extract tables from images
• batch process images for text extraction
• run ocr with llama3.2-vision or moondream

When to choose

• you want privacy-preserving, fully local OCR via Ollama
• you need structured output formats like markdown, JSON, or key-value pairs from documents
• you want to experiment with multiple open vision-language models for text extraction

When to avoid

• you need maximum OCR accuracy on complex scans and prefer mature engines like Tesseract or cloud OCR APIs
• you cannot run local LLMs due to limited hardware
• you need a lightweight dependency-free OCR solution

Facets

library · maturity active

ocr image-processing pdf llm-inference nlp computer-vision image-processing pdf artificial-intelligence developer-tools python cross-platform self-hosted ollama vision-language-models streamlit text-extraction batch-processing

Member repositories

For agents

markdown · JSON · MCP: product_card(name="imanoop7/Ollama-OCR")