We built a focused model just for reading form fields, and it beats GPT and every other big model at finding and labeling them, the exact thing that trips up agents filling out forms ๐
huggingface.co/nutrientdocs/fโฆ
Here's another example where our specialized document models are leading frontier VLMs on document AI.
If you've ever tried to get an agent to fill a real form, you have likely experience this failure. It reads the page fine, then misses half the fields because it can't put a
itโs the same overall, but you get a larger effective weekly limit if you work at all during peak hours
weโll revisit weekly more as the compute comes online
Weโve often wondered how easily an LLM can use our docs and SDK, so we built this tool to help answer that question. Itโs open source and may be helpful for you as well.
github.com/PSPDFKit-labs/โฆ
To all builder, are you building for humans or AI?
I opensourced a way for you to find out if your software usable by other agents. Everything is sandboxed and fully automated, so you can elavate your Deverloper Experience with ease
Shipping Day! Weโre all proud and excited @nutrientdocs to officially release our PDF to Markdown converter. On our 200 document hand annotated markdown based benchmark it beats out every other major parser for speed and reading order while matching accuracy.
We are shipping it