May 27th | 9 AM PST | Register to attend

ParseBench has quickly become the standard framework for evaluating document parsing for AI agents. In this session we go under the hood — the methodology, what we tested, and how to use it to run your own eval.

Most existing benchmarks like OlmOCR were not built for how agents consume parsed output. They test on the wrong documents with the wrong metrics and miss the failures that matter most in production.

In this session, we'll cover:

• How ParseBench compares against existing benchmarks and where they fall short
• The five dimensions that predict parser performance on real enterprise documents
• How to structure an eval around your specific documents and use case
• What the results across 14 parsers reveal about where they break down

If you're an AI engineer or technical founder evaluating document parsing for a production workflow, this session gives you the framework and the data to make a better call.