Sort 500+ PDFs Instantly with Python AI 🚀

This Python tutorial shows you how to sort hundreds of PDFs and other text documents using a local Python script with Ollama and Nomic-Embed-Text text embedding model running on your own computer. The shared code categorizes and sorts documents on your own local machine without the need of AI API keys or LLM subscriptions.

I walk through the use cases, setup, and code for this auto-sorting python program. This is ideal for anyone looking to clean up the clutter of PDF files in their downloads folder or elsewhere on their computer. It's great for students and researchers looking to mass classify academic readings, texts, and articles.

Note that the effectiveness of this technique is not 100%. It can be impacted by the types of documents you use and the specificity of the category titles you choose. However, this can help boost your efforts in organizing hundreds of PDF's on your computer.


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**Full Code**
https://deepcharts.substack.com/p/sort-500-pdfs-in-seconds-with-python

**Resources**
Ollama: https://ollama.com/
Nomic-Embed-Text: https://ollama.com/library/nomic-embed-text

**Chapters**
0:00 Demo + Conceptual Overview + AI Tech Stack
1:00 How to download and install Ollama and nomic-embed-text
1:22 Setting up the Python Conda Environment
1:33 Code Walkthrough
4:00 How to Run the Auto-Sort Program & Additional Notes