Vestval AI
Document Intelligence
Extract structured data from real documents — receipts, statements, invoices, forms and contracts — with evidence you can defend.
Overview
Document Intelligence turns unstructured documents into structured, validated data — with confidence scores and per-field provenance. It is designed for workflows where the extracted data has to be trusted downstream.
It complements SMS and Email Intelligence with deeper, structured extraction for complex documents.
What this covers
Layout-aware extraction
Handles varied layouts across templates and issuers.
Schema-driven
Extraction is defined by a schema; outputs are validated.
Confidence scoring
Every field carries a confidence and evidence pointer.
Human-in-the-loop
Low-confidence fields route to reviewers efficiently.
Auditability
Original document and extracted data linked with provenance.
Privacy
Sensitive fields redacted on ingest where policy requires.
How it works
- 1
Document arrives via upload, email or connector.
- 2
Schema-driven extraction produces validated data with confidence.
- 3
Low-confidence fields route to reviewers.
- 4
Structured output flows into the downstream workflow.
Use cases
Finance ops
Processing invoices and statements at volume.
Straight-through processing with reviewer safety net.
Compliance
Extracting fields from regulatory filings.
Traceable extraction with per-field evidence.
FAQ
Frequently asked
- Yes — layout-aware extraction handles scanned and native PDFs.
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