Automated Document Processing
See what structured data extraction actually looks like in practice. Switch between document types to see how unstructured paperwork becomes clean, usable data — automatically.
Depending on your document type and consistency we use the right approach — Python scripts for predictable formats, AI assistance for variable layouts. You get reliable structured data either way.
01 — Original Document
02 — Extracted Data
Hover a field to highlight it in the original document →
03 — Where It Went
Accounts Payable Sheet
Google Sheets — auto-updated
Processed in 0.8 seconds
Manual vs Automated
Manual Process
Automated
If you process 50 documents/week:
That's 6+ hours every week that your team could spend on work that actually requires their judgement.
The right tool for the job
Not every document processing problem needs AI. Here's how we approach the choice:
Python Scripts
For consistent, predictable document formats from the same source. Fast, cheap, completely reliable. pdfplumber, camelot, regex.
OCR + Pattern Matching
For scanned documents or PDFs without selectable text. Combines optical character recognition with pattern matching for known fields.
AI Assistance
For genuinely variable documents where format changes between senders. Used selectively where it adds value over a script.
We always use the simplest reliable approach first. AI is a tool, not a default.
How much time does your team spend processing documents manually?
Tell us what document type you receive, how many per week, and where the data needs to go. We'll tell you honestly whether it's automatable and what it costs.