Take invoice data entry off your team. Upload a PDF, scan, or photo and the AI reads the invoice number, dates, vendor, every line item, tax, and totals automatically, validates the math, and exports clean data to Excel, CSV, or your API. No templates, no per-vendor setup, and a new supplier works on the first upload.
Upload your invoices
Drop files here or click to upload
Up to 50 files
Uploading...
Keying invoices by hand runs $15 to $25 per invoice and roughly one in ten entries carries an error. As volume grows, the AP team grows with it, and rule-based tools that need a template per vendor break the moment a supplier changes its layout.
At $15 to $25 per invoice, a few thousand invoices a month is real money and a real headcount problem. Automation cuts that cost 70% to 87%.
Coordinate-based tools need a saved map per vendor. When a supplier moves a field or sends a new format, the rule silently grabs the wrong value.
Capturing a header total is easy. Pulling every row with quantity, unit price, and amount across variable-length tables is where simple tools fail.
A mistyped total or wrong date is cheap to fix at entry and expensive to catch later in the close or during a vendor dispute.
A skewed scan or phone photo with no clean text layer produces garbled output unless the system interprets the image first.
Even once the data is read, you still need it as structured Excel, CSV, or JSON your ERP will accept without manual cleanup.
Instead of a template per vendor, the AI understands what an invoice is and what each value means. It captures the fields and line items by context, validates the numbers, and hands you import-ready data, so the whole step runs without manual keying.
Upload and the AI reads the invoice number, dates, vendor, line items, tax, and totals on its own, with no template to build or maintain.
The model maps fields by meaning, not coordinates, so a brand-new supplier format works on the first upload.
Every line gets its own row with description, quantity, unit price, and amount, separated from subtotals, tax, and shipping.
Built-in OCR recovers text from scanned PDFs and phone photos before the AI extracts the fields.
Cross-checks the math and flags any low-confidence field for a quick review, so straight-through invoices never need a human.
Download structured Excel and CSV, or call the API to feed extracted data straight into your accounting system or pipeline.
From upload to import-ready data in under a minute, with no template setup.
Drag in one invoice or a whole batch. Native PDFs, scans, and photos all work, with no template or configuration.
The model reads the document by meaning and writes the invoice number, dates, vendor, line items, tax, and totals into structured fields, then validates the math.
Tip: Review any field flagged as low-confidence before you export.
Download clean structured data or send it straight to QuickBooks, Xero, NetSuite, a database, or your own pipeline through the API.
Built for US finance, operations, and engineering teams that process invoices at volume and want data, not data entry.
Capture supplier invoices into the ERP without keying or a template per vendor.
Process invoices across many clients and layouts from one tool, fast.
Automate extraction through the API instead of writing or maintaining parsers.
Run hundreds of varied vendor invoices through one consistent pipeline.
Automated invoice data extraction replaces manual keying with software that reads each invoice on its own and returns structured fields you can import. The economics are the reason teams switch: manual entry runs $15 to $25 per invoice and carries an error rate near one in ten, while automated extraction cuts that cost by roughly 70% to 87% and removes most of the rekeying. Modern systems read invoices the way a person would, understanding layout and context instead of matching fixed coordinates, which is why field accuracy now sits in the 95% to 99% range, up from 85% to 90% on legacy template OCR a few years ago.
The payoff at scale is straight-through processing, where an invoice that reads cleanly and reconciles never reaches a person. Best-in-class AP teams now process 70% to 85% of invoices straight through, so staff only touch the exceptions. To get there you need extraction that captures line items reliably, not just header totals, since line-level data is what feeds three-way matching and cost analysis. If you want the background on the recognition step, see how invoice OCR works, and for the modeling side, our explainer on invoice data extraction with machine learning compares template OCR, LayoutLM-style transformers, and large language models. Developers automating this from code can read how to extract invoice data with Python and move to the hosted invoice data extraction API. For the broader product, see invoice data extraction software. If the documents you process are bank statements rather than supplier invoices, bankxlsx.com automates the same extraction for statement data.
Automated invoice data extraction is software that reads an invoice and captures fields like the invoice number, dates, vendor, line items, tax, and totals as structured data, without manual keying. Modern tools use AI to understand layout and context, so they handle any vendor format and export the data to Excel, CSV, or an accounting system automatically.
Upload your invoices to an AI extraction tool, which reads each document, pulls the header fields and line items into structured data, validates the math, and exports import-ready Excel, CSV, or API output. There is no template to build, so a new vendor works on the first upload and the whole entry step runs without rekeying.
Modern AI extraction reaches roughly 95% to 99% field accuracy on clear invoices, up from 85% to 90% on legacy template OCR. Field accuracy measures whether the system correctly captured the vendor, amount, and dates as structured data, which is the metric that matters for AP, and low-confidence fields are flagged for a quick review.
Manual invoice processing runs about $15 to $25 per invoice once you count labor, error correction, and approvals. Automated extraction cuts that by roughly 70% to 87%, to around $2 to $5 per invoice, and removes most of the rekeying, which is why high-volume AP teams move to it as soon as a template tool stops scaling.
Yes. The AI detects the full line-item table and pulls each row with its description, quantity, unit price, and amount into separate fields, kept apart from subtotals, tax, and shipping. That line-level detail is what makes the data usable for three-way matching and cost analysis, not just paying the bill.
Yes. Built-in OCR recovers text from scanned PDFs, JPGs, and phone photos, then the AI extracts the fields from that text and its layout. A scan or photo is only an image with no text layer, so OCR is the step that turns image-only invoices into data the extraction can read.
Yes. Upload a whole batch in one go and the tool processes each invoice, extracts the fields and line items, and consolidates them into a single spreadsheet with consistent columns. This batch approach turns a folder of invoices into one import-ready Excel or CSV file in minutes instead of hours of typing.
Yes. You can download structured Excel or CSV, or call the invoice data extraction API to send extracted fields straight into your accounting system, database, or custom pipeline. The API returns the same structured output as the web tool in a format you can script against, so the extraction step runs without anyone in the loop.
Extract every field and line item to structured data.
Call invoice extraction from your own code.
Automate invoice capture and entry end to end.
How deep learning models read any invoice layout.
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 |
