Document Processing & Data Extraction
“Turn slow document review into a structured workflow.”
We build AI pipelines that ingest documents such as invoices, contracts, applications, and forms, then extract the data you need.
The system handles PDFs, images, and scanned documents, validates the output, and sends it to your database, spreadsheet, or review queue.
Start with a focused first build.
Send the workflow, the tools involved, and where the handoff breaks. We will map the smallest build that can prove value before you commit to a larger system.
The useful parts of this build.
These are the pieces buyers usually need when the workflow has to run inside a real product, CRM, dashboard, or internal operation.
Invoices, receipts, contracts, forms, and scans turned into structured records
Required fields checked before anything reaches the next system
Low-confidence values routed to a reviewer instead of being guessed
PDFs, images, emails, and Word files handled in one intake path
Clean output sent to spreadsheets, databases, CRMs, or APIs
How this moves from audit to production.
The first version stays narrow enough to ship, but includes the architecture, integrations, model layer, review path, and observability needed by a real team.
Profile incoming invoices, contracts, forms, scans, and email attachments by layout family and required output schema.
Build a Python FastAPI extraction service with OCR fallback, field validators, duplicate detection, and exception routing.
Send structured records into spreadsheets, databases, or APIs through queue-backed workers with retry and dead-letter handling.
Create a reviewer screen for low-confidence fields, missing signatures, tax IDs, totals, dates, and mismatched line items.
Track extraction accuracy by document type and promote stable templates into fully automated processing rules.
Questions before building this workflow.
Can the pipeline handle messy scans and mixed document formats?
Yes. We combine OCR, layout detection, schema-specific validation, and review queues so PDFs, images, forms, and Word documents can enter the same processing workflow.
Where does extracted document data go?
We can write validated fields to PostgreSQL, Google Sheets, Airtable, CRMs, ERPs, or custom APIs, with queue logs for every successful or failed delivery.
How are extraction mistakes controlled?
Low-confidence fields, impossible totals, missing required values, and format violations are routed to a human review queue before downstream systems are updated.
Related services in this category.
Send one workflow.
Send the workflow. We will show what to build first.