[ AI document processing ]
Turn Piles of PDFs and Scans Into Clean, Checked Data
We build document pipelines that classify incoming files, extract the fields you need, check them against your rules and only send the uncertain ones to a person.
- PDF, scans, photos, email and spreadsheets
- Any format
- PDF, scans, photos, email and spreadsheets
- Confidence score on every extracted value
- Field level
- Confidence score on every extracted value
- Only for exceptions you define
- Human review
- Only for exceptions you define
Extracted fields (example)
- Document type99%
Supplier invoice
- Supplier98%
Harbor Supply Co.
- Invoice number99%
INV-20931
- Invoice date97%
14 Sep 2026
- Total99%
$4,812.50
- PO match93%
PO-7781, 3 of 3 lines
- Due date61%
Unclear scan, sent to review
How We Build Your Document Pipeline
We start with your real documents and measure accuracy field by field before anything goes live.
- 1
Document inventory
We sample each document type, list the fields you need and the rules they must pass.
Field and rule catalog
- 2
Extraction build
OCR, layout and language models are combined and tuned on your samples, not generic templates.
Accuracy report per field
- 3
Validation and review
Business rules check every value, and low-confidence items go to a simple review screen.
Review workflow
- 4
Integration
Approved data flows into your ERP, claims or CRM system with a full audit trail.
Live pipeline
Why Manual Document Work Does Not Scale
Every new customer, claim or invoice adds typing, checking and chasing.
- 01
Retyping is slow
Staff copy the same fields from documents into systems all day.
- 02
Errors hide until later
A wrong amount or date surfaces at month end or in an audit.
- 03
Templates break
Old OCR tools fail the moment a supplier changes its invoice layout.
- 04
Peaks cause backlogs
Quarter end or claim season means overtime or missed deadlines.
What the System Does
From inbox to system of record with people only where they add value.
Multi-format intake
Email inboxes, upload portals, scanners and shared drives, handled in one queue.
Classification
Each file is sorted by type, such as invoice, ID, claim form or contract.
Field extraction
Names, dates, amounts, line items and tables pulled with confidence scores.
Validation rules
Cross-checks against purchase orders, policy data or master records.
Review screen
The document and extracted fields side by side for quick human approval.
System integration
Data posted to SAP, NetSuite, Guidewire, Salesforce or your own APIs.
Where It Fits
What We Measure With You
Targets are agreed on your sample set; results depend on document quality and variety.
- 01
- Field accuracy
- Correct values per field type on a held-out set
- 02
- Straight-through rate
- Documents processed with no human touch
- 03
- Handling time
- Minutes per document, before and after
- 04
- Backlog age
- Oldest unprocessed document at peak
Document Processing Stack
Combined OCR and language models, hosted where your data rules require.
- AWS Textract
- Azure Document Intelligence
- Tesseract
- LayoutLM
Accuracy Tested on Your Own Samples
Send us a few hundred real documents. You get field-by-field accuracy and a review workflow before anything goes live.
Book a Document Call
Document Processing Cost
Indicative starting prices. Model and cloud usage is billed to your account.
Get a Fixed QuoteExtraction pilot
One document type tested on your samples
3 to 4 weeks
from$4,000
Production pipeline
Several document types, review screen and one integration
6 to 10 weeks
from$12,000
Enterprise intake
All channels and document types across departments
3 to 5 months
from$30,000
What Operations Teams Say
5.0Clutch
5.0GoodFirms- 5.0Google
- 4.9Upwork
I had the pleasure of working with Sajal Tech on a travel website, and it was an incredible experience from start to finish. They demonstrated professionalism, clear understanding of requirements, and excellent communication throughout.
Knowledgeable, efficient, and ahead of schedule. Will hire again.
They completed our project even when the scope changed slightly. They were cooperative when we wanted to add or modify features.
Document Processing Questions
Often, yes. We test your worst samples early and set confidence thresholds so anything unclear goes to review instead of being guessed.
No. Layout and language models read new formats without templates, which is why they hold up when suppliers change layouts.
Yes. We can use cloud regions you choose, private model endpoints or open models in your own account, and redact fields before processing.
Every value has a confidence score and passes your validation rules. Low-confidence or failing items wait for a person, and corrections improve the system.
ERP, claims, CRM and document management systems through their APIs, or through files and queues if no API exists.
A pilot on one document type usually takes three to four weeks; a production pipeline six to ten.
Let's build your next product together
Book a free strategy call and leave with a clear plan and estimate. No commitment.
- 01Pick a time that suits you
- 0230 minutes on scope, stack, timeline and budget
- 03Fixed-price proposal, NDA on request