Digitize paper records process
You know the feeling when the one contract you need is "somewhere in that box" — and suddenly a simple request turns into a half-day scavenger hunt. Turn old scans into searchable, structured data by running them through an API built to extract data from scanned documents. Start with the PDF Extraction API and plug it into your workflow.
No credit card required. See results on your first upload.
Average time to first searchable record
8 minutes
Typical manual lookup reduction
-62%
Audit-ready traceability
Built-in
Before (scan)
- A folder full of PDFs named "Scan_001…Scan_489"
- Searching means opening files one-by-one
After (structured)
Document type
Invoice
Invoice #
INV-10483
Vendor
Northbridge Supply
Total
$12,480.19
Records processed (last 12 months)
38.7M
Average time saved per employee / week
3.9 hrs
Fields extracted per document (typical)
14–22
Average go-live
1–3 days
The hidden cost of "we have the scan somewhere"
You know the feeling when someone asks for a record "right now" — and you're stuck choosing the least-bad option: dig through shared drives, ping three departments, or re-enter data from a blurry scan.
Search becomes "open-and-hope"
Filenames aren't truth. Without extracted fields, your archive can't answer basic queries like "show all invoices over $10k last quarter."
Data entry creates new errors
Manual re-typing is the perfect recipe for swapped digits, missing dates, and compliance headaches that show up months later.
Access is risky or slow
When you can't confidently segment by metadata, you either over-share archives — or lock them down and block the people who need them.
What if your archive worked like search — not storage?
Run your scanned PDFs through an extraction pipeline that returns structured JSON, then index it. Suddenly, "find the record" becomes a filter — not a hunt.
- 1
Ingest the scans
Upload PDFs (single files or batches). Keep originals for audit trails.
- 2
Extract the fields that matter
Pull invoice numbers, dates, names, IDs, line items — even from messy, rotated, or faint scans.
- 3
Validate + route automatically
Flag low-confidence fields for review, then send clean data to your ERP/CRM/DMS.
- 4
Index for instant search
Make the archive queryable by any extracted field: "Vendor = X" + "Date between Y and Z".
FAQ: digitizing paper records without breaking your workflow
These are the questions teams ask right before they modernize an archive — and the answers that keep projects from stalling.
Do we have to rescan everything to digitize paper records?
How does an API "extract data from scanned documents" if the scan is messy?
What's the fastest way to make an archive searchable end-to-end?
How do we avoid a "big bang" migration that disrupts teams?
Turn archived scans into a system your business can actually use
Don't let another request turn into a frantic folder search — or worse, a compliance scramble. Start small, extract key fields, index them, and prove the value in a week.