Images in PDFs like charts, diagrams, and figures are invisible to search and analysis. Manually writing descriptions for hundreds of figures is impractical.

You could use cloud APIs like Gemini or ChatGPT, but that means API costs at scale and your documents leaving your infrastructure.

Docling runs local vision language models (Granite Vision, SmolVLM) to automatically generate descriptive annotations for every picture in your documents, keeping data private.

Key benefits:

• Privacy: Data stays local, works offline
• Cost: No per-image API fees
• Flexibility: Customizable prompts, any HuggingFace model

From Messy PDFs to RAG-Ready Data: Complete Document Processing with Docling

Removing backgrounds from images typically requires Photoshop, online tools, or AI assistants like ChatGPT.

But these options come with subscription costs, upload limits, or privacy concerns with your images on external servers.

Rembg uses AI models to remove backgrounds locally with just 2 lines of Python.

It’s also open source and compatible with common Python imaging libraries.