Bourdon vs OpenParser

Bourdon is a recognition-first AI memory runtime with a federated agentic memory shared across AI agents. Recognition first. Hydration second. Archive descent third.

Extract structured data from PDFs with Lineage field-level grounding, source evidence, transformations, confidence, and review. Choose among nine hosted OCR models....

About Bourdon

Bourdon is a recognition-first AI memory runtime with a federated agentic memory shared across AI agents. Recognition first. Hydration second. Archive descent third. Bourdon works the way human memory does: it recognizes you instantly, starts responding, and pulls the details up in the background. Claude, Codex, Cursor, Copilot, and Devin write to and read from one shared, federated memory, so a fact learned by one is recognized by the rest, across accounts and machines.

About OpenParser

Extract structured data from PDFs with Lineage field-level grounding, source evidence, transformations, confidence, and review. Choose among nine hosted OCR models. Open-weight OCR starts at $1 per 1,000 pages. OpenParser turns PDFs and images into structured data, then keeps the source, confidence, transforms, and review history behind every field. OpenParser's open-weight hosted OCR has the lowest price among the layout-and-tables rows in our public synchronous list-price comparison. Sync, async, and batch use the same multipart body.