Join us for a virtual event to hear talks from experts on the latest developments at the intersection of Visual Document AI.

In this talk, go through everything document AI: trends, models, tasks, tools! By the end of this talk you will be able to get to building apps based on document models

The new VLM Run Plugin for Voxel51 enables seamless execution of document vision-language models directly within the Voxel51 environment. This integration transforms complex document workflows — from PDFs and scanned forms to reports — into structured JSON outputs in seconds. By treating documents as images, our approach remains general, scalable, and compatible with any visual model architecture. The plugin connects visual data curation with model inference, empowering teams to run, visualize, and evaluate document understanding models effortlessly. Document AI is now faster, reproducible, and natively integrated into your Voxel51 workflows.

Converting static PDFs into fillable forms remains a surprisingly difficult task, even with the best commercial tools available today. We show that with careful dataset curation and model tuning, it is possible to train high-quality form field detectors for under $500. As part of this effort, we introduce CommonForms, a large-scale dataset of nearly half a million curated form images. We also release a family of highly accurate form field detectors, FFDNet-S and FFDNet-L.

In this talk you'll learn about the task of visual document retrieval, the models which are widely used by the community, and see them in action through the FiftyOne App where you'll learn how to use these models to identify groups and clusters of documents, find unique documents, uncover biases in your visual document dataset, and search over your document corpus using natural language.