Designing extraction schemas
How to define the fields Droqify extracts from a document type: field types, validation, generating a schema from a sample, assigning it and reading confidence.
Read the guideHow-to guides written from how the platform actually works.
How to define the fields Droqify extracts from a document type: field types, validation, generating a schema from a sample, assigning it and reading confidence.
Read the guideHow the human-in-the-loop queue works in Droqify: what pauses for review, how to approve or edit, how processing resumes and how flagged documents fit in.
Read the guideHow to integrate Droqify with your systems: API keys, the asynchronous job model, polling job status, webhooks for events and remote upload.
Read the guideHow to load many documents into Droqify from the portal or from another system through the remote upload API, and how schema ownership works.
Read the guideOrganise documents with indexes and smart folders, find them with search, and ask questions across them with chat in Droqify.
Read the guideStarter, Professional, Private and Enterprise compared: where each runs, what it includes and who it fits. Prices are list prices in USD.
Read the guideAn honest, region-by-region guide to where Droqify data and AI processing run, what is chosen in the Order Form, and what is not yet available.
Read the guideA vendor-neutral checklist for evaluating document AI and intelligent document processing platforms: accuracy testing, review, audit, deployment, data and exit.
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