Invoice Parsing API for Developers
Automatically extract structured data from invoices using a simple API. Parse invoice numbers, dates, vendors, totals, and line items in seconds.
Many companies receive hundreds or thousands of invoices every month.
These invoices contain critical data needed for accounting, reporting, and financial workflows.
However, this information is usually stored inside PDFs or scanned documents, making it difficult to process automatically.
Finance teams often rely on:
- manual data entry
- basic OCR tools
- fragile scripts to parse invoices
Manual processing is slow and error-prone. Even OCR solutions usually return unstructured text , which still requires custom parsing logic to extract useful fields.
As invoice volumes grow, this approach quickly becomes inefficient and difficult to maintain.
Inconsistent layouts across documents
Manual data entry is time-consuming and error-prone
Scanned documents require OCR which returns unstructured text
Custom parsing scripts are fragile and require constant maintenance
Parselyze provides a simple invoice parsing API that automatically extracts structured data from invoices.
Instead of building complex OCR and parsing pipelines, developers can simply send invoices to the Parselyze API and receive clean JSON data in return.
Upload an invoice document
Send your invoice to Parselyze via our API, whether it's a PDF, image file, or a scanned document.
Fields are detected
Parselyze analyzes the document structure and detects fields to extract data from invoices based on the provided template.
Receive structured JSON
Structured JSON data is returned via API or webhook.
Example of invoice data extraction
This structured output can be directly inserted into accounting systems, ERP platforms, or financial dashboards.
{ "invoice_number": "INV-7821", "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 } ] }
Supported Invoice Formats
Parselyze supports many types of invoice documents
Supplier Invoices
Purchase Invoices
Digital Invoices (PDF exports)
Scanned Invoices
Invoice images
Invoices can come from many sources
Document upload
Email attachments
Cloud storage (S3, Google Drive, etc.)
ERP exports
Any system that can send files to the API
Typical Workflows
Parselyze supports a variety of workflows, such as invoice processing, receipt data extraction, contract data ingestion, and document ingestion pipelines.
Accounts payable automation
Automatically extract invoice data and send it to accounting systems to reduce manual data entry.
ERP integrations
Push parsed invoice data directly into ERP platforms such as SAP, NetSuite, or QuickBooks.
Expense processing
Extract invoice data for expense management and internal reporting.
Financial analytics
Convert invoice documents into structured datasets for financial analysis and reporting.
Why Developers Use Parselyze
Parselyze allows developers to integrate document data into their applications without building and maintaining custom parsing infrastructure.
| Traditional document processing | Parselyze |
|---|---|
| Manual extraction | Automated extraction |
| Raw text output | Structured JSON |
| Custom parsing scripts | AI-powered field detection |
| Complex pipelines | Simple REST API |
| Fragile to layout changes | Robust to different formats and layouts |
| Time-consuming maintenance | Fully managed service |
| Limited to specific document types | Supports a wide range of document types |
Automation integrations
Use Parselyze in automation workflows
Once a document is parsed, the JSON output can be sent to other tools automatically using platforms like Zapier, Make, n8n or Pipedream.
Automate document parsing with Zapier
Connect Parselyze to 6,000+ apps — Google Drive, Gmail, Slack, Airtable and more.
First invoice extraction in under 5 minutes
Install the Node.js SDK, create an invoice template, and submit your first document. Structured JSON is returned immediately via API response or webhook.
npm install parselyzeReady to integrate?
SDK examples, REST API reference, webhook handler, and cURL samples are all on the developer page.
Frequently asked questions
Everything you need to know about invoice parsing.
What is an invoice parsing API?
An invoice parsing API is a REST endpoint that accepts an invoice file (PDF, image, or scanned document) and returns structured JSON containing extracted fields such as invoice number, vendor, dates, line items, amounts, and taxes.
What invoice formats does Parselyze support?
Parselyze supports supplier invoices, purchase invoices, proforma invoices, digital PDF exports, scanned invoice images (PNG, JPG, WEBP, TIFF, BMP), and multi-page invoice PDFs. It works across all document layouts without custom training.
What fields are extracted from an invoice?
Standard extracted fields include invoice number, invoice date, due date, vendor name and address, bill-to details, currency, subtotal, tax amount, total amount, and line items with descriptions, quantities, and unit prices.
How accurate is invoice data extraction?
Accuracy depends on document quality and template configuration. With a well-defined template, Parselyze achieves high accuracy on structured invoice formats. Scanned documents with good scan quality also extract reliably.
Can the invoice parsing API integrate with QuickBooks or SAP?
Yes. The structured JSON output can be pushed to accounting platforms like QuickBooks, Xero, SAP, or NetSuite via their APIs. You can also use automation tools like Zapier, Make, or n8n to route data without custom code.
How do I get started?
Sign up for a free account, create an invoice template in the Parselyze dashboard or use the AI Template Wizard, then call the REST API or use the Node.js SDK. The free plan includes 50 pages per month with no credit card required.
Start automating invoice data extraction today
50 pages/month free · No credit card required