Intelligent Data Extraction · OCR + AI

Pull Structured Data From
Any File, Automatically.

AI reads PDFs, scanned invoices, purchase orders, and handwritten forms — extracts the exact fields you need — and pushes them directly into your systems. Hundreds of documents processed overnight, zero keystrokes.

Why AI extraction outperforms manual entry
📥
99%+ extraction accuracy on structured documents
AI reads every field precisely — vendor name, amounts, dates, line items — without transposition errors.
100s of documents processed per hour
vs 30 minutes per document manually. What took a team a week now runs overnight automatically.
🔌
Direct push to ERP, CRM, or accounting system
No manual entry ever. Extracted data lands in your system the moment the document is processed.
PDF Invoices POs Forms Handwritten ERP Integration
99%+
extraction accuracy on structured documents
100s
documents processed per hour, automatically
0
manual keystrokes after setup
30m→30s
per document, from manual to AI extraction
The Problem

The Manual Data Entry Problem

Manual data entry is one of the most expensive, error-prone, and demoralising tasks in any business. Yet most companies still do it every single day.

Every invoice that lands in your inbox, every purchase order from a supplier, every filled-out form from a customer — someone on your team has to open it, read it, and type the information into your system. That person could be doing something valuable instead.

Manual entry also introduces errors. A transposed digit on a vendor invoice, a misread date on a PO, a missed field on an insurance form — these small mistakes create compounding downstream problems: failed reconciliations, compliance flags, delayed payments, angry suppliers.

Before: Manual Entry
×

30–60 min per document, per person

×

3–5% error rate on manually entered data

×

Backlog accumulates during busy periods

×

Headcount scales linearly with document volume

After: AI Extraction

Seconds per document, around the clock

99%+ accuracy with validation rules applied

No backlog — volume spikes handled automatically

Same cost whether 10 or 10,000 documents

🧾
Supplier Invoice — Acme Ltd
Received via email attachment
Extracted ✓
📦
Purchase Order #PO-2024-881
Scanned PDF from courier
Pushed to ERP ✓
📋
KYC Application Form
Handwritten — customer branch
Validated ✓
🏥
Patient Intake Form — Ward 3
Printed form, scanned to system
In EMR ✓
⚖️
Contract Summary — Clause Data
56-page PDF, key fields extracted
Extracted ✓
How It Works

Four Steps from Document to System

From the moment a document arrives to the moment clean data lands in your ERP or CRM — fully automated, with validation at every step.

📄

Document Ingestion

PDFs, scans, photos, and email attachments received via folder watch, email inbox, API, or manual upload. Any source, any format, any volume.

🔍

OCR + AI Reading

OCR converts scanned images to text. AI then reads and understands the full document structure — tables, headers, line items, totals, signatures — not just raw text.

🎯

Field Extraction

AI pulls exactly the fields you need: vendor name, invoice number, date, line items, amounts, tax, totals. Validation rules applied immediately — errors flagged before entry.

🔌

System Push

Extracted data pushed directly to your ERP (SAP, Oracle, Tally), CRM, accounting software, or database via API. Zero manual steps, zero delay.

Everything You Get

What's Included

End-to-end extraction capability built for your specific document types — not a generic off-the-shelf tool that requires years of configuration.

📄

Multi-Format Support

PDFs, scanned images, mobile photos, Word documents, Excel sheets, and email attachments — every common document format handled natively.

✍️

Handwriting Recognition

OCR handles handwritten forms, signatures, and mixed print-and-handwrite documents — not just clean printed text. Essential for field forms and manual applications.

Validation Rules

Business rules applied on extraction: date format checks, amount range validation, required field enforcement. Errors flagged before data enters your system — not after.

🔌

ERP & CRM Integration

Direct data push to SAP, Oracle, Tally, Zoho, QuickBooks, or any system with an API. Data lands where it needs to be — automatically, the moment extraction is complete.

📊

Exception Dashboard

Documents that fail validation are flagged for human review — with the extracted data pre-filled for quick correction. Human time spent only where it's actually needed.

🔄

Continuous Learning

Every correction your team makes feeds back into the extraction model. Accuracy improves over time — the system gets smarter the more documents it processes.

Who It's Built For

Who Should Use This

If documents arrive in volume and someone on your team types data from them into a system — this is built for you.

🏭

Manufacturing

POs, delivery notes, quality inspection forms, supplier invoices — extracted and pushed into your ERP automatically, across dozens of document types and supplier formats.

🏦

BFSI

Loan application forms, KYC documents, bank statements, and insurance claims — processed at scale with compliance validation built into every extraction rule.

🏥

Healthcare

Patient intake forms, lab reports, and insurance authorisation documents extracted and pushed directly to EMR or billing systems — reducing admin load on clinical staff.

🛒

Retail & Distribution

Supplier invoices, GRNs, credit notes, and packing lists processed and matched against purchase orders automatically — AP and inventory reconciliation without manual work.

⚖️

Legal

Contract data points, court filings, case documents — AI extracts key clauses, dates, parties, and obligations from lengthy documents that would otherwise require hours of manual review.

🏗️

Real Estate

Property forms, registration documents, and agreement data extracted and populated into your systems — removing the manual work from high-volume transaction documentation.

Common Questions

Frequently Asked

Yes. We use advanced OCR pre-processing that handles skewed, low-resolution, and partially damaged documents. The pipeline corrects rotation, improves contrast, and denoises images before OCR runs. Accuracy does drop on very poor quality inputs — but we flag those automatically for human review rather than silently passing bad data into your system.
Every extraction passes through validation rules before data is written to your system. Documents that fail are routed to an exception queue where a human reviews and corrects — with the extracted data pre-filled to minimise effort. Corrections are fed back to the model, improving accuracy over time. The goal is that the exception queue gets smaller every month.
Yes. We configure the extraction template for your specific document types. Vendor invoices look different from government forms, which look different from insurance claims. We build individual field maps for each document type you need — and the extraction model is tuned to your actual documents, not generic templates. You tell us what fields matter; we configure the system to extract exactly those.
For standard document types — invoices, purchase orders, standard application forms — we can be live in 2–3 weeks. This covers field mapping, integration setup, validation rules, and go-live testing with your real documents. Custom or complex document types, especially those with significant layout variation or handwriting, take 4–6 weeks to tune to production-level accuracy. We'll give you a precise estimate after seeing your documents.

Stop manually entering data from documents.
Let AI read, extract, and push — automatically.

Book a free demo and we'll show you exactly how this works on your documents — invoices, forms, POs, or anything else your team currently types by hand.