Document Automation
Stop typing what a machine can read.
- From
- ₹95,000
- Timeline
- 3–5 weeks
Document data entry is the most automatable work still done by hand in most companies. Somebody opens a PDF, reads a number, types it into another system, and repeats that a few hundred times a week.
Modern extraction combines OCR with language models, which means it handles the messy reality — scanned copies, inconsistent layouts, handwriting in the margin — far better than the template-based tools of a few years ago.
What we build
- Invoice, purchase order, receipt and delivery note extraction
- KYC and identity document processing with validation
- Contract clause extraction and obligation tracking
- Handwritten and scanned document handling
- Multi-format input — PDF, image, email attachment, scanner drop folder
- Confidence scoring with human review for anything uncertain
- Validation against POs, master data and business rules
- Document generation: proposals, agreements, certificates from templates
Examples of this work
Concrete builds rather than capability statements.
Invoice processing
Vendor invoices arriving by email are extracted, matched against the purchase order, flagged if amounts differ beyond tolerance, and posted to accounts — with only exceptions reaching a human.
KYC onboarding
Customer uploads PAN and Aadhaar; the system extracts, validates format and checksum, cross-checks against the application, and routes mismatches for manual review.
What you get
- Extraction pipeline with confidence thresholds
- Human review queue for low-confidence documents
- Validation rules against your business logic
- Accuracy report on a sample of your real documents
Tools we use here
- Claude
- OpenAI
- Google Document AI
- Tesseract
- n8n
- PostgreSQL
Document automation — questions we get asked
How accurate is it?
On clean digital PDFs, typically 97%+ on key fields. On poor scans, lower. That's why we score confidence per field and route anything uncertain to a human rather than pretending the number is right — and we measure accuracy on your actual documents before you commit.
Can it handle our vendors' different formats?
Yes — that's the advantage of the LLM-based approach over template matching. It reads the document semantically rather than by fixed coordinates, so a new vendor layout doesn't require reconfiguration.
Often paired with
Want Document automation working in your business?
Book a free 30-minute audit. We'll tell you what it would take, what it would cost, and whether it's worth doing at all.
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