AI That Reads Any Invoice and Hands You Clean Data
Every invoice has a different layout, so someone ends up typing them in by hand. Our AI reads the document, whatever the format, pulls out the header fields and line items, checks them, and hands over structured data ready for your ERP.
50+ ERP and software projects. Zero failed projects since 2021.
The real cost is the manual keying
Invoices arrive in every shape. When people re-type them, entry is slow, errors slip in, and the month-end close drags. Reading them with AI fixes the source of that work.
One model, every supplier layout
You cannot force every vendor onto one template, and you should not have to. The model reads the invoices your suppliers already send, across PDF, scan and phone photo, and gets better on the document types you see most.
- No template rules to maintain per vendor.
- Printed text, tables and totals read together.
- Learns your recurring document types.
Clean fields, not a wall of text
Extraction is only useful if the result is structured. Each invoice comes back as named fields and line-item rows, validated and scored, so it can drop straight into a booking without anyone re-keying it.
- Header fields and every line item captured.
- Confidence score on each field.
- Ready to post into your ERP or accounting system.
From a document to named, checked data
The AI pulls the fields a person would read off the page, then validates them against each other before handing them over.
From received document to booked record in five steps
The fields that matter on every invoice
Header data and line-item detail, captured and validated so the record is ready to post.
Invoice and PO numbers
The invoice number, any purchase order reference, and the dates, so each document matches the right record.
Supplier details
Supplier name, tax registration and bank details where present, read straight off the document.
Line items
Every row: description, quantity, unit price and amount, kept in order as a structured table.
Tax and totals
Subtotal, tax lines, discounts and the grand total, checked against the line items for consistency.
Currency and terms
Currency, payment terms and due dates, so the amount and timing are booked correctly.
Confidence and checks
A confidence score on each field and validation results, so you know what is safe to pass through.
What reading invoices with AI changes
Why teams choose TCB Infotech for invoice extraction
Invoice OCR & data extraction questions
What does invoice OCR and data extraction do?
Does it work on scans and phone photos, not just PDFs?
How accurate is the extraction?
Can it post the data straight into our ERP?
Do we have to change our invoice templates?
Which AI model does this run on?
Stop Typing Invoices by Hand
Book a free consultation. Send us a few of your real invoices and we will show you how the extraction reads them and what the structured output looks like for your business.
Book a Free Consultation →No commitment. A practical look at invoice extraction on your own documents.
What Is Inside Invoice OCR & Data Extraction
This is a working part of your finance process, not a demo. Here is what the AI reads, how it checks the data, and how the clean output reaches your systems.
From any document to clean data in your ERP
PDF, scan or phone photo, any layout
The model reads the invoices your suppliers already send. It handles native PDFs, scanned paper and photos, and finds the header fields and the line-item table without a template per vendor.
- No per-supplier template rules to maintain.
- Printed text, tables and totals read together.
- Learns the document types you see most often.
Every field scored and checked
Extraction is paired with checks. Each field gets a confidence score, and rules confirm that totals match the line items and tax adds up. High-confidence invoices pass through, and anything below your threshold is flagged for a quick human review.
- A confidence score on each captured field.
- Totals and tax validated against line items.
- Review queue only for what needs a human.
Structured output, posted where it belongs
The result is named fields and line-item rows, not a scanned image. That structured data can be posted into your ERP or accounting system, so an invoice moves from received document to booked record without anyone re-keying it.
- Named header fields and line-item rows.
- Posts into your ERP or accounting system.
- Fits how invoices already reach you.
Everything the extraction delivers
Header capture
Invoice number, dates, PO reference, supplier and currency, read straight off the document.
Line-item detail
Every row with description, quantity, unit price and amount, kept as a structured table.
Tax and totals
Subtotal, tax lines, discounts and grand total, checked against the line items.
Confidence scoring
A score on each field, so high-confidence invoices pass through and the rest get a review.
ERP posting
Validated data posted into your ERP or accounting system, no manual re-keying.
Model-agnostic setup
The extraction and language models are chosen for your accuracy, cost and privacy needs.