Add AI invoice extraction to your product with a simple REST API. Send a PDF, scan, or photo and get back structured JSON with every field and line item. No templates to build and no rules to maintain.
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Parsing invoices yourself means stitching together OCR, layout logic, and per-vendor rules, then maintaining them forever. An extraction API hands you clean JSON so your team can ship features instead of training models.
Raw OCR returns a wall of text with no structure. You still have to figure out which string is the invoice number, the date, or a line-item amount.
Rule-based parsers break the moment a supplier shifts a field. You end up writing and maintaining a template for every vendor you onboard.
Header totals are easy. Pulling per-line descriptions, quantities, unit prices, and amounts from a table is where most homegrown parsers fail.
Training your own extraction model takes labeled data, ML expertise, and ongoing tuning that pulls engineers off your core product.
Multi-page invoices, rotated scans, foreign characters, and phone photos all need handling you did not budget for.
A from-scratch pipeline can take months. An API gets structured invoice JSON flowing in an afternoon.
Authenticate, upload a document, and request extraction. The API reads the invoice with AI and returns structured JSON you can drop straight into your app or database.
Upload a file and start extraction with two POST calls. JSON in, JSON out, no SDK lock-in required.
Create a personal API token in your dashboard and pass it as a Bearer token on every request.
Returns descriptions, quantities, unit prices, and amounts for each line, not just the header totals.
AI-based extraction reads thousands of invoice formats without a template, so a new vendor just works.
Consistent field names across every invoice make the response easy to map into your schema.
Requests run over encrypted connections and documents are not used to train public AI models.
From API token to structured JSON in one short integration.
Generate a personal API token in your dashboard and send it as an Authorization Bearer header on each request.
POST your invoice to the upload endpoint, then call the extract endpoint to start AI extraction on that file.
Tip: Batch many documents to process high volumes in one workflow.
Retrieve the structured result: invoice number, dates, vendor, line items, tax, and totals as clean JSON ready for your database or ERP.
Built for US software teams and finance-ops engineers automating invoice workflows.
Embed invoice extraction in your SaaS without building an OCR pipeline.
Feed structured invoice JSON into ERPs, RPA bots, and internal tools.
Power accounts-payable products with reliable field and line-item data.
Map clean JSON straight into your schema and downstream systems.
The API takes an invoice file and returns the same structured fields as our interactive tool, vendor, invoice number, dates, line items, and totals, as clean invoice JSON. The extraction engine is shared with the invoice data extraction software, so results are consistent whether you upload in the browser or call the endpoint. If you want the conceptual background first, extracting invoice data with Python shows how teams wire this into a script.
Most integrations end with the data landing in an accounting system or ERP. The guide on importing invoices into your ERP covers the field mapping, and for high-volume automation the accounts payable automation software page shows where an extraction API fits in a full AP workflow.
An invoice data extraction API lets developers send an invoice file to a web service and receive structured data in return. The API uses AI and OCR to identify the invoice number, date, vendor, line items, tax, and totals, then responds with clean JSON. It replaces hand-built parsers and per-vendor templates with a single integration.
You authenticate with an API token, upload an invoice to the upload endpoint, then call the extract endpoint to start AI extraction. The service reads the document, identifies each field and line item, and returns a structured JSON response you can store or pass to your accounting system. The whole flow is a few REST calls.
The API extracts header fields such as the invoice number, invoice date, due date, vendor, and totals, plus full line items including descriptions, quantities, unit prices, and amounts. It also captures tax and subtotal values, giving you the complete invoice as structured data rather than raw text.
Yes. The API returns structured JSON with consistent field names across every invoice, so you can map the response directly into your database or application schema. Predictable JSON output is what makes an extraction API easier than parsing OCR text yourself.
On clear invoices, AI-based extraction reaches roughly 98% to 99% accuracy, close to human level, while lower-quality scans land between 85% and 95%. Because the API uses AI rather than fixed templates, accuracy holds up across new and unfamiliar vendor layouts.
Yes. Line-item extraction is built in. The API returns each row of the invoice table with its description, quantity, unit price, and amount, so you get the full breakdown rather than only the header totals. That detail is the hardest part to build in-house.
Send standard HTTP requests from any language, including Python. POST the file to the upload endpoint with your Bearer token, call the extract endpoint, and parse the JSON response with the requests library. Because it is a plain REST API, Node.js, Java, PHP, and Ruby work the same way.
Yes. Every request is authenticated with a personal API token sent as a Bearer header and runs over an encrypted connection. Uploaded documents are not used to train public AI models and processed files are automatically deleted, so your invoice data stays private.
Convert invoice PDFs to clean structured JSON with one schema.
See how AI invoice OCR extracts data from any vendor layout.
How AI reads invoice fields from any vendor automatically.
Process hundreds of invoices at once with batch extraction.
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 |
