Unstructured in, structured out
So much business data is trapped in formats built for reading, not processing: PDF reports, email bodies, scanned forms, statements. Getting it into a spreadsheet or database usually means someone reading and retyping it.
We build extraction that reads those documents and outputs structured data, the exact fields you define, in the format your systems expect. It handles varying layouts and messy real-world files rather than needing one rigid template.
- Extract from PDFs, emails, scanned forms, and images
- Output to your schema: CSV, JSON, database, or spreadsheet
- Handles varied layouts, not just one fixed template
- OCR built in for scanned and photographed documents
- Pulls tables and repeating line items, not just single fields
Trustworthy data, not just extracted data
Extraction is only useful if you can trust it. We validate output against the rules you expect, dates look like dates, totals add up, required fields are present, and flag anything that fails instead of passing bad data through silently.
For low-confidence results we route to a quick human review, and those corrections make the system better over time. We're honest that no extraction is perfect, so we design it to be checkable.
- Field-level validation against your rules and formats
- Confidence scores so you know what to trust
- Human review queue for uncertain extractions
- Consistency checks across related fields
- Ongoing tuning as your document mix evolves
More on ai automation & workflows
Frequently asked questions
Do all my documents need the same layout?
No. Modern AI extraction handles varying layouts far better than old template-based tools, so different vendors' invoices or different form versions can be processed together. Very unusual or degraded documents may still need review.
What format do I get the data in?
Whatever fits your workflow, CSV or Excel, JSON, a direct push to your database, or an import file for another system. We match the output to the schema you already use.
How do I know the extracted data is correct?
We attach validation and confidence scoring, flag anything questionable for human review, and test on your real documents up front. Instead of promising perfect accuracy, we make the output verifiable and catch the errors before they spread.