Invoice Data Extraction API
Automatically extract structured data from invoices using a simple API.
Invoice data extraction is the process of automatically extracting structured fields such as invoice numbers, dates, totals, and line items from invoice documents.
With Parselyze, developers can extract data from invoices in seconds using a simple API. Instead of manually copying data from PDFs or relying on raw OCR output, Parselyze returns clean structured JSON ready for accounting systems and automation workflows.
Manual invoice entry is slow, costly, and error-prone
Manual invoice processing makes invoice data extraction slow and unreliable. Many teams still extract invoice data manually from PDFs, which leads to errors and delays.
Finance teams spend hours every week manually copying data from supplier invoices into accounting systems. Each invoice requires reading the PDF, finding the right fields, and entering them one by one, with no guarantee of accuracy.
Even with OCR tools, the output is often raw text that still requires manual cleanup. What you actually need is structured, field-level data delivered directly to your system.
15+ hours/week lost to manual data entry per accountant
3-5% error rate on manually entered invoice data
Hours spent on corrections and reconciliation
Late payment fees due to processing delays
Structured invoice data, automatically
Define your invoice template once. Then submit any invoice and get back clean, structured JSON, ready to push to your accounting system.
Define your template
Use the Template Builder to specify invoice fields: number, dates, vendor, line items, totals.
Submit invoice PDFs
Upload invoices individually or in bulk. Sync from email, S3, or your ERP intake.
Receive structured JSON
Get clean field-level data back via API response or webhook, ready to insert into your system.
Fields commonly extracted from invoices
Parselyze automatically extracts the fields from invoice documents based on the template you defined and returns them as structured JSON via API.
Invoice Number
Vendor Name
Invoice Date
Currency
Subtotal
Tax Amount
Total Amount
Line Items
Extraction output for a standard invoice
Submit an invoice PDF. This is what comes back.
{ "invoice_number": "FCT-000342", "invoice_date": "2024-05-28", "vendor_name": "ACME Corporation", "vendor_address": "123 Innovation St, Example City", "bill_to": "John Example", "bill_to_address": "456 Demo Ave, Sampletown", "currency": "USD", "total_amount": 1500.00, "line_items": [ { "description": "Consulting services", "qty": 8, "unit_price": 125.00, "total": 1000.00 }, { "description": "Design mockups", "qty": 1, "unit_price": 500.00, "total": 500.00 } ] }
Typical workflows
How teams automate invoice processing with Parselyze.
Accounts Payable Automation
Extract and validate incoming supplier invoices before pushing them to QuickBooks, Xero, or SAP.
Spend Analytics
Aggregate invoice data across vendors and time periods to track spending patterns.
Three-Way Matching
Cross-reference extracted invoice data against purchase orders and delivery notes automatically.
Invoice Archiving
Index and store invoices as structured records in your database instead of raw PDFs.
Bank Statement Parsing
Extract transaction lists, balances, and account details from PDF bank statements with consistent accuracy across all bank formats.
Purchase Order Matching
Parse incoming purchase orders and match them against your inventory system automatically, reducing manual reconciliation time.
First extraction in under 5 minutes
Install the Node.js SDK, create an invoice template, and submit your first document. The result is returned as structured JSON you can immediately use in your application.
npm install parselyzeReady to integrate?
SDK examples, REST API reference, webhook handler, and cURL samples are all on the developer page.
Works with your accounting stack
Frequently asked questions
Everything you need to know about invoice data extraction.
What is invoice data extraction?
Invoice data extraction is the process of automatically extracting structured information such as invoice numbers, vendor names, totals, and line items from invoice documents. Automated extraction eliminates manual data entry and delivers clean JSON ready for accounting systems.
How does Parselyze extract data from invoices?
Parselyze combines OCR and AI-powered document parsing to analyze invoice layouts and return structured field-level data. You define a template once, then submit any invoice — PDF, scanned image, or email attachment — and receive clean JSON.
What invoice formats are supported?
Parselyze supports native PDF invoices, scanned invoice PDFs, invoice images (PNG, JPG, WEBP, TIFF, BMP), and multi-page invoices. It works with supplier invoices, purchase invoices, proforma invoices, and digital invoice exports from common tools.
What is an invoice parsing API?
An invoice parsing API allows developers to upload invoice PDFs or images and receive structured JSON containing all extracted fields — invoice number, vendor, dates, line items, amounts, and taxes — via a simple REST call.
Do I need to train a model for my specific invoice formats?
No. Parselyze is designed to work across a wide variety of invoice formats without custom training. You define the fields you want extracted using the Template Builder, and the AI handles layout variation automatically.
How do I define my own custom fields for extraction?
Use the Template Builder in the Parselyze dashboard to specify the fields you want to extract and how they should appear in the JSON response. You can also use the AI Template Wizard to generate a template from a sample invoice in seconds.
Can invoice data extraction integrate with QuickBooks or Xero?
Yes. The structured JSON returned by Parselyze is ready to be pushed to accounting systems like QuickBooks, Xero, SAP, or NetSuite via their APIs, or using automation platforms like Zapier or Make.
Stop entering invoices by hand
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