Build with VULK
Extract Structured Data from PDFs, Emails and Forms
Generate a document intake app that receives files or messages, extracts structured fields with AI, lets humans review uncertain outputs, and stores the result in a real database. This is the product version of the common "OpenAI + parser + Airtable" job.
Try VULKWhat you get
- +Upload and intake screens for PDFs, emails, CSVs or text payloads
- +Structured JSON extraction targets with confidence and review states
- +Human-in-the-loop correction screens before data is accepted
- +Database tables for source files, extracted fields and audit history
- +Export and API endpoints for Airtable, CRM or downstream systems
What VULK should produce
- A repeatable extraction workflow, not a brittle prompt pasted into a chat
- Review UI for bad scans, missing fields and edge cases
- Stored extraction history so teams can debug and improve prompts
- Code export for adding OCR, queues or enterprise storage later
Good fit
- Invoices, purchase orders, inspection reports, contracts, title binders or supplier feeds
- Teams that need review and traceability before data enters operations
- B2B workflows where JSON output alone is not enough
Not the right fit
- Highly regulated extraction with no human review or validation
- Massive document volumes before queueing and storage choices are planned
- Cases where source documents are inconsistent and fields are not yet defined
FAQ
Can VULK build an OpenAI extraction workflow?
Yes. VULK can generate the web app, API endpoints, database and review screens around the extraction workflow. Production teams should still validate prompts, schemas and failure handling.
Can it send data to Airtable or a CRM?
The generated app can include REST endpoints and integration hooks for Airtable, HubSpot, Salesforce, custom CRMs or internal APIs.
Why not just use Make.com?
Use Make.com for simple routing. Use VULK when you need an owned app with login, review queues, stored history, dashboards and a codebase your team can extend.