Extract structured data from PDFs

Automatically extract structured JSON from PDF documents such as invoices, reports, receipts, and contracts using Parselyze.

Works with scanned and digital PDFs Extract fields, tables, and structured data Simple API for developers

The Problem

PDFs are one of the most difficult formats to process automatically.

Unlike structured formats like JSON or CSV, a PDF is designed for display, not data extraction.

Developers who want to extract data from PDFs face several challenges, teams devote a lot of time to writing complex scripts to parse documents, scripts that break as soon as the format changes.

Layouts are not consistent across documents

Tables are difficult to parse

Scanned documents require OCR which returns unstructured text

The Solution

Parselyze transforms PDFs into structured, actionable data.

Rather than dealing with raw text, you receive structured fields ready to be used in your application. This allows for easy integration of PDF data extraction into data pipelines, internal systems, and automated workflows.

Upload a PDF

Send your PDF document to Parselyze via our API. You can upload any PDF, whether it's a digital file or a scanned document.

Fields are detected

Parselyze detects and extracts relevant fields, tables, and data from your documents, regardless of their layout or format.

Receive structured JSON

Get the result of PDF to JSON conversion, ready to be used in your application or data pipeline.

Example Invoice PDF extraction

Extracted data can be directly used within:
an ERP, an accounting system, a database, or an analytics pipeline.

Sample invoice — FCT-000342 from ACME Corporation

extraction_result.json

{
  "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
    }
  ]
}

Supported PDF Types

Parselyze supports every PDF types, such as invoices, receipts, financial reports, contracts, forms, scanned documents, and more.

Invoices

Extract totals, dates, line items, and more from scanned invoices.

Receipts

Parse merchant names, amounts, and dates from receipts for expense tracking.

Contracts

Extract parties, dates, and clauses from contracts and agreements.

Financial reports

Convert financial statements and reports into structured data for analysis.

Forms and surveys

Parse filled-out forms and surveys to extract responses and metadata.

Scanned documents

Convert scanned PDFs of any type into structured JSON for downstream processing.

Typical Workflows

Parselyze supports a variety of workflows, such as invoice processing, receipt data extraction, contract data ingestion, and document ingestion pipelines.

Invoice processing automation

Convert scanned invoices into structured JSON to automatically import totals, dates, and line items into accounting systems.

Receipt data extraction

Extract merchant names, amounts, and dates from receipts to automate expense tracking and reimbursements.

Contract data ingestion

Parse contracts and agreements to extract key information like parties, dates, and clauses for internal systems.

Document ingestion pipelines

Convert large volumes of PDFs and scanned documents into structured JSON to feed data warehouses or automation workflows.

Start extracting data from PDFs today

50 pages/month free · No credit card required

Start for Free Invoice extraction example