Stop typing what a machine can read.
Invoices, POs, KYC docs, forms, contracts — turn a mountain of PDFs into structured data your systems can act on. In seconds. Reviewed on exceptions only.
{
"invoice": "2481",
"date": "2026-11-24",
"vendor": "Acme Traders",
"gstin": "29ABCDE1234F1Z5",
"items": [
{ "sku": "Widgets", "qty": 12, "price": 400 }
],
"freight": 250,
"total": 5050,
"confidence": 0.987
}Documents we automate.
Invoices & POs
Line items, GST, HSN codes, totals — into your accounting stack.
KYC & IDs
Aadhaar, PAN, passport, driving licence with masking + validation.
Contracts
Parties, clauses, dates, obligations — flagged for review.
Medical records
Prescriptions, reports, forms extracted into EMR.
Forms & applications
Handwritten or typed — mapped to your DB schema.
Bills of lading
Consignee, ports, HS codes, weights for logistics.
The pipeline.
Built for real ops.
- 10× faster than manual entry
- 98%+ accuracy on structured docs
- Exception review queue
- Audit trail per document
- GST/tax field mapping
- Multi-language OCR (English + Indic)
Document AI FAQs.
For structured docs (invoices, forms) we regularly hit 98%+. For handwritten or degraded scans, 90–95% with confidence scoring and human review queues.
Document class → pipeline choice
There is no single "document AI" pipeline. The right stack depends on layout complexity and how much you trust the source.
| Doc class | OCR need | Extraction method | Typical accuracy |
|---|---|---|---|
| Born-digital PDF (invoices) | No | PDF text + LLM | 96-99% |
| Scanned invoices / receipts | Yes | Layout OCR + LLM | 90-96% |
| Multi-page contracts | Sometimes | Chunk + retrieve + LLM | 85-92% on clauses |
| Forms with tick-boxes | Yes | Layout model + rules | 92-97% |
| Handwritten notes | Yes (Trocr / GPT-vision) | Vision LLM | 70-85%; needs review |
| Tables in PDFs | Yes | Table-transformer + LLM cleanup | 85-95% on cells |
Confidence bands and what to do with each
A number without a threshold is theatre. This is our routing table for extracted fields.
- Above 0.95
Auto-post to system of record. Sample 2% for QA.
- 0.85 - 0.95
Queue for one-click human confirm. Reviewer sees prediction highlighted on the doc.
- 0.70 - 0.85
Split-screen review with field-level edit. Retraining data harvested here.
- Below 0.70
Full manual entry with the model's guesses hidden — showing them biases the human.
- Any legal / monetary field
Even at 0.99, dual-key for amounts above a threshold. Fraud and typos both exist.
- Missing required field
Never fabricate. Return an explicit "not found" with the region searched — auditable.
Send us 20 sample docs.
We'll extract them, show you the accuracy, and quote the pipeline.
Run a pilotServing businesses across Rayalaseema
Founder-led website design, development and automation — for businesses in Andhra Pradesh and beyond.
Automate what's costing your team hours
Describe the workflow — we'll reply with what's possible, what it costs, and where to start.
- Personal reply from Siddiq within 24 hours
- Honest advice — no pushy sales, no fake urgency
- Clear next steps, timeline, and estimate