OCR package using Ollama vision language models.

Optical Character Recognition (OCR) is a powerful tool for extracting text from images, and with the rise of multimodal AI models, it's now easier than ever to implement locally. In this guide, we'll show you how to build a professional OCR application using Llama 3.2-Vision, Ollama for the backend, and Streamlit for the front end.PrerequisitesBefore we start, ensure you have the following:1. Python 3.10 or higher installed.2. Anaconda (Optional)3. Ollama installed for local model hosting. Downl

In this video, I look at olmOCR, the OpenOCR system from Allen AI. Colab: https://dripl.ink/HpaK4 Blog: https://olmocr.allenai.org/blog macOS ver: https://jonathansoma.com/words/olmocr-on-macos-with-lm-studio.html For more tutorials on using LLMs and building agents, check out my Patreon Patreon: https://www.patreon.com/SamWitteveen Twitter: https://x.com/Sam_Witteveen 🕵️ Interested in building LLM Agents? Fill out the form below Building LLM Agents Form: https://drp.li/dIMes 👨‍💻Github: https://github.com/samwit/llm-tutorials ⏱️Time Stamps: 00:00 Intro 00:31 Allen AI Blog 01:20 olmOCR Blog 02:08 olmOCR Hugging Face 04:52 olmOCR GitHub 05:41 Demo 05:59 Running olmOCR on macOS with LM Studio