Pull the vendor, invoice number, dates, tax, totals, and every line item off any invoice without typing a thing. Upload PDFs, scans, or phone photos and the AI extracts each field into clean, structured data you can review and export to Excel, CSV, or JSON. It reads any vendor layout on the first upload, so there are no templates to build.
Upload your invoices
Drop files here or click to upload
Up to 50 files
Uploading...
The numbers on an invoice are useless until they are out of the document and in your books. For most teams that still means a person opening each file and typing the vendor, dates, totals, and every line by hand. Invoice data extraction software does that reading for you: it pulls each field into structured data you can check and export in seconds, instead of keying invoices one at a time.
Opening a file and retyping the header fields and every line costs roughly $12 to $15 per invoice in labor, and the cost scales straight up with volume.
Older tools need a saved template per vendor, so a format you have not mapped fails until someone builds and tests new rules.
Header totals are easy, but the line-item table, with its descriptions, quantities, unit prices, and amounts, is where manual entry and basic OCR fall down.
A single transposed total or wrong line amount becomes a payment mistake or a reconciliation headache once it lands in your accounting system.
Month-end or a busy season buries AP in invoices, and throwing more hours at manual entry does not scale.
Numbers locked inside a PDF or scan do not flow into QuickBooks, Xero, NetSuite, or your ERP until someone rekeys them.
Our invoice data extraction uses an AI model trained across thousands of invoice formats together with OCR, so it reads each document by understanding its structure instead of matching saved coordinates. Upload an invoice and it extracts every header field and the full line-item table, validates that the math reconciles, and returns clean structured data. A vendor it has never seen extracts correctly on the first upload, with nothing to configure.
Pulls invoice number, invoice date, due date, PO number, vendor name and address, tax, subtotal, and total from any invoice.
Extracts each line with its description, quantity, unit price, and amount, not just the invoice totals.
The model understands invoice structure across formats, so new vendors extract correctly on the first upload with no rules to build.
Cross-checks that line items add up to the subtotal and that subtotal plus tax equals the total, flagging anything that does not reconcile.
Extracts from native and image PDFs, scanned paper, and phone photos, including slightly skewed or lower-quality files.
Download the extracted data as a spreadsheet for finance or as JSON to feed your accounting system or ERP.
From a pile of PDFs and scans to clean, structured data in minutes.
Drag in PDF, scanned, or photographed invoices, one at a time or as a batch.
The model reads every field and the line-item table across each vendor layout and returns structured data, no template needed.
Tip: Mixed vendors and formats can go in the same batch.
Confirm the extracted values, then export to Excel, CSV, or JSON for your accounting system or ERP.
Built for US finance teams and operators who want invoice data extracted for them, not typed by hand.
Extract supplier invoice data straight into your AP workflow without manual keying.
Extract a month of client invoices into clean spreadsheets in minutes.
Cut data-entry cost and keying errors while closing the books faster.
Extract invoice fields into JSON to push into your own systems and ERP.
The AI captures header fields and the full line-item table: vendor, invoice and PO numbers, dates, descriptions, quantities, unit prices, tax, and totals. Capturing the complete table matters for coding and matching, which is why invoice line item extraction is a core part of the output rather than an add-on. Under the hood the same engine powers our invoice OCR software, reading native PDFs, scans, and photos without a template per vendor. For a plain-English primer on the process, see how to extract data from invoices.
Structured fields are only useful if they land in your systems cleanly. Export to a spreadsheet with the invoice PDF to Excel converter, or push straight to your accounting system using the walkthrough on importing invoices into your ERP. Developers who want to call extraction from their own code can use the invoice data extraction API, and finance teams automating the whole payables cycle should start with accounts payable automation software.
Invoice data extraction software automatically reads an invoice and pulls its key information, such as the vendor, invoice number, dates, tax, totals, and line items, into structured data you can use. Instead of a person typing each value, you upload the file and the software returns clean fields you review and export. Modern tools use AI and OCR, so an invoice from a new vendor extracts accurately on the first upload with no template to build.
Invoice data extraction works by reading the document with OCR, then using AI to identify which text is the vendor, the invoice number, the dates, the totals, and each line item. The software maps those values into structured fields, validates that the math reconciles, and lets you review anything it is unsure about. You then export the data to Excel, CSV, or JSON for your accounting system, all without manual typing.
Modern AI invoice data extraction reaches roughly 95 to 99 percent field-level accuracy on clear printed invoices, and accuracy is highest on legible PDFs and good scans. Quality drops on low-resolution images, handwriting, or unusual layouts, which is why good tools flag low-confidence fields for a quick human check. With a short review step before export, teams routinely reach near-perfect accuracy before the data enters their books.
Invoice data extraction captures the header fields and the line-item table. Header fields include the vendor name and address, invoice number, invoice and due dates, PO number, tax, subtotal, and total. The line-item table includes each line with its description, quantity, unit price, and amount. Capturing line items, not just totals, is what lets you analyze spend and post detailed entries to your accounting system.
To extract data from an invoice automatically, upload the PDF, scan, or photo to invoice data extraction software and let it read every field and line for you. The AI returns structured data, you confirm the values, and you export to Excel, CSV, or JSON. There is nothing to configure for each vendor, so you can drop in invoices from suppliers you have never processed and get usable data back in seconds.
Yes. AI reads an invoice by understanding its structure rather than matching a fixed template, so it can extract the vendor, dates, totals, and line items from layouts it has never seen before. That is the main advantage over older template-based OCR, which fails whenever a format changes. AI extraction also keeps improving across formats and pairs well with a quick human review of any field it scores as low confidence.
The best invoice data extraction software for most US finance teams reads any vendor layout without templates, captures full line items, validates totals, handles PDFs, scans, and photos, and exports Excel, CSV, or JSON your accounting system accepts. Weigh those capabilities against your invoice volume and the formats your suppliers actually send, rather than choosing on brand name alone, and test it on your own invoices first.
Yes. Extracted invoice data exports to Excel, CSV, or JSON, which import into QuickBooks, Xero, NetSuite, and most ERPs. You map the columns to your chart of accounts once and reuse the mapping, so the vendor, totals, and line items the software pulls from each invoice flow into your books without rekeying.
How AI invoice OCR reads data from any vendor layout.
Parse invoices into structured fields with no code.
Touchless invoice capture with no templates to build.
Capture every line item, not just the invoice totals.
Extract invoice data to JSON through a developer API.
Start turning your invoices into clean, structured spreadsheet data.
USD
per month
billed as
$288 yearly
Choose speed vs accuracy when extracting
| Base AI Faster | 2,500 pages |
| Pro AI Best accuracy | 500 pages |
Scale invoice extraction across your whole team with automation.
USD
per month
billed as
$888 yearly
Choose speed vs accuracy when extracting
| Base AI Faster | 10,000 pages |
| Pro AI Best accuracy | 2,000 pages |
Enterprise‑grade invoice extraction, security, and controls.
USD
per month
billed as
$ yearly
Choose speed vs accuracy when extracting
| Base AI Faster | pages |
| Pro AI Best accuracy | pages |
