Invoice OCR & Data Extraction
Every invoice has a different layout, so someone ends up typing them in by hand.
Why It Matters
You cannot force every vendor onto one template, and you should not have to. The model reads the invoices your suppliers already send, as native PDFs, scanned paper or phone photos, and finds the header fields and the line-item table.
Each invoice comes back as named fields and line-item rows, validated and scored, so it can post into your ERP or accounting system and move from received document to booked record without anyone re-keying it.
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.
The invoice number, any purchase order reference, and the dates, so each document matches the right record.
Supplier name, tax registration and bank details where present, read straight off the document.
Every row: description, quantity, unit price and amount, kept in order as a structured table.
Subtotal, tax lines, discounts and the grand total, checked against the line items for consistency.
Currency, payment terms and due dates, so the amount and timing are booked correctly.
A confidence score on each field and validation results, so you know what is safe to pass through.
Invoices arrive by email, upload or a shared folder, as PDF, scan or phone photo.
The AI reads the page and locates the header fields and the line-item table, whatever the layout.
Fields and rows are turned into named, structured data with a confidence score on each one.
Rules check that totals match line items and tax adds up. Low-confidence fields are flagged for review.
Clean data is posted into your ERP or accounting system, ready to book without re-keying.
Proof
A distribution company automated supplier invoice processing, connected to email, its ERP and purchase orders, and went live in five weeks.
Supplier invoices arrived by email in every format, and each one was opened, read, and keyed into the ERP line by line.
It reads each invoice whatever the layout, matches it to the purchase order and posts a draft entry for approval, with the source document attached.
It ran in suggest-only mode beside the team, then posted drafts on its own once it proved accurate. Mismatches and high-value invoices still wait for a person.
We build ERP and software, so extracted data lands in your system correctly, not just as a file.
Every field is scored and checked, so high-confidence invoices pass through and the rest get a quick review.
We pick the extraction and language models that fit your accuracy, cost and privacy needs.
Where required, the models run in your environment, so financial documents do not leave your control.
We plug into how invoices already reach you, by email, upload or a shared folder, not a new portal.
It reads an invoice or financial document, whatever the layout, and turns it into clean structured data. It captures header fields like number, date, supplier, tax and totals, plus every line item, so nobody has to type invoices by hand.
Yes. It handles native PDFs, scanned documents and photos taken on a phone. It reads printed text and common layouts, and learns the document types you receive most often.
Each field comes with a confidence score and is validated against rules such as totals matching line items and tax adding up. High-confidence fields pass straight through, and anything below your threshold is flagged for a quick human check.
Yes. Once fields are extracted and validated, the structured data can be posted into your ERP or accounting system, so an invoice moves from document to booked record without re-keying.
No. The model reads the invoices your suppliers already send. You do not need to force vendors onto a template. It adapts to different layouts and gets better on the document types you see most.
The approach is model-agnostic. We select the extraction and language models that fit your accuracy, cost and data-privacy needs, and can run them in your environment where required.
Related
The other services in this section, and related pages from TCB Infotech.
No commitment. A practical look at invoice extraction on your own documents.
