Pre-Built Document Extraction
Name the document type — invoice, receipt, W-2, contract, ID — and get clean, typed fields back. No templates.
What it is
Pre-built document extraction is a library of ready-made field sets for the document types businesses see most: invoices, receipts, purchase orders, bank statements, pay stubs, tax forms (W-2, 1099, W-9), contracts, leases, IDs, and passports. You name the type, and Xberg already knows which fields to pull and how to type them.
Why it's painful today
The usual options are a per-document-type IDP vendor you pay for each type, or brittle templates that map fixed positions on the page. Both break the moment a vendor tweaks a layout, and neither keeps up with the dozens of formats a finance or operations team actually receives.
What Xberg does
Send the file and name the type. You get back clean, typed key/value fields — dates as dates, totals as numbers — with no templates to draw, no bounding boxes to maintain, and no per-vendor rules.
- A purpose-built schema per document type, so the fields match the document instead of a generic JSON blob.
- Typed output: amounts, dates, and identifiers come back ready to use, not as raw strings.
- Switch document type with a single parameter and the whole field set changes with it.
- Works on native PDFs and scans alike, so one call covers clean exports and photographed paperwork.
More use cases
RAG Pipeline Ingestion
Turn a pile of PDFs, Office docs, and HTML into clean, chunked, embedded data for your vector database — in one call.
Document-Reading Agents
Give your AI agents one tool to read any document — 100+ formats, structured output, every framework.
Replace Legacy IDP
Swap brittle, template-based processing for one API that returns schema-mapped JSON — no templates to maintain.