What it does
KIE turns unstructured documents into structured fields. Instead of reading every page manually, you define what you care about (for example: parties, dates, invoice numbers, totals) and extract those fields into consistent outputs.
How it works in practice
- Define a schema: list the fields you want to extract and keep the schema reusable.
- Run extraction: select a target document and apply the chosen schema.
- Review results: validate values in JSON view or table view.
- Export: save results as CSV for spreadsheets, databases, or downstream systems.
Why teams use KIE
- Speed: extract key fields without scanning every paragraph.
- Consistency: standardize outputs across documents with the same schema.
- Auditability: review extracted fields in a compact format before exporting.
- Automation-ready: CSV outputs are easy to integrate with other tools.
Common use cases
- Invoices: vendor, invoice number, date, line items, totals.
- Contracts: parties, effective dates, obligations, renewal clauses.
- Forms: IDs, names, addresses, and other repeated fields.
- Reports: key metrics, timestamps, and summary fields.
Try KIE in Ckraken
Ckraken provides a local-first extraction workflow with reusable schemas, JSON/table review, and CSV export. See the feature overview on the Key Info Extraction page.