Open-Source Tools for AI Agent Document Processing
Modern AI agents must process and comprehend documents in various formats, from PDFs to images containing text. The following open-source tools empower agents to extract, interpret, and act upon information from unstructured documents, facilitating real-world business processes.
- Long-form PDFs such as contracts, research papers - use Qwen2.5-VL or mPLUG-DocOwl2 for efficient multi-page understanding without relying on OCR. And, as of a few months ago, you can also easily fine-tune a DocOwl2 model on your own data with ms-swift.
- Text + image docs such as medical reports, annotated diagrams - try Molmo for high-resolution multimodal inputs, visual QA, and GUI parsing.
- Layout analysis & table extraction - use Docling for JSON/Markdown conversion, or LayoutLMv3 for form understanding and layout-aware modeling.
- Lightweight multimodal with speech - Phi-4 handles text, vision, and speech in a compact model—great for on-device agents.