From the source
The waitlist filled fast, and developers tested it with real-world documents—insurance packets, scanned forms, multipage tables.
This early traffic helped us refine schema alignment, layout handling, and batch performance.
Today, Information Extract becomes a production-ready REST API —turning unstructured PDFs into structured, schema-aware JSON.
No training.
No templates.
No prompt tuning.
What makes Information Extract different Zero-training extraction : Works on any document—no templates, no fine-tuning required Schema-aligned output : Returns structured JSON that matches your schema—types, nesting, and required fields included Layout understanding : Accurately handles tables, checkboxes, multi-page layouts, and rotated content Flat per-page pricing : Predictable billing, regardless of token count or content complexity From document to JSON—in one call Information Extract turns layout-heavy PDFs into clean, typed JSON—aligned to your schema, without templates or scripting.
In this example, a multi-page rent roll PDF is converted into structured JSON.
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