Schema extraction
Create reusable field definitions from one sample and apply them to similar documents.
AI document intelligence platform
Lendgage.Data extracts fields from PDFs, scans, and images, then gives your team a reviewable workflow and clean exports for every document type.
{
"doc_type": "form_d",
"fields": {
"name": "Asha Rao",
"registration_no": "A-19031",
"date": "16/09/2010",
"status": "verified"
},
"confidence": 0.992
}See it live
Upload, read, extract, review, and export through one workspace.
input document
Upload
Read
Extract
Review
Export
{
"vendor": "Reliance Ltd.",
"invoice_no": "INV-2025-0847",
"amount": 84200,
"currency": "INR"
}Capabilities
Create reusable field definitions from one sample and apply them to similar documents.
Upload grouped documents against a schema, track status, and retry failed records.
Review extracted values side by side with the source document before marking them verified.
Download structured results as JSON, CSV, or Excel for downstream workflows.
Start with your current document type, then extend the same review and export pattern across teams.
Finance
Healthcare
Operations
Pricing
Starter
For teams validating document extraction
Get startedEnterprise
For custom deployment and high-volume needs
Talk to usCreate schemas, process documents, and export verified structured data.