Convert documents to JSON

Upload any document and receive clean, structured JSON ready to use in your applications, workflows, or data pipelines.

Works with PDFs, images, and scanned documents Extract fields, tables, and structured data Simple REST API for developers

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The Problem

Businesses receive large amounts of information in the form of documents:

invoices
receipts
contracts
reports
scanned paperwork

While these documents contain valuable data, that information is often locked inside unstructured formats.

Developers who want to use this data usually need to:

manually extract fields from documents
write complex parsing scripts
maintain fragile pipelines that break when layouts change

Even OCR tools only return raw text , which still requires significant processing before it can be used programmatically.

As a result, teams spend significant time transforming documents into structured data that their systems can actually use.

Layouts are not consistent across documents

Tables are difficult to parse

Scanned documents require OCR which returns unstructured text

The Solution

Parselyze converts documents into structured JSON automatically.

Instead of building custom parsing logic, developers can send documents to the Parselyze document parsing API and receive structured JSON data in return.

Upload a document

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

Fields are detected

Parselyze analyzes the document structure and detects fields to extract structured data from documents based on the provided template.

Receive structured JSON

Structured JSON data is returned via API or webhook.

Example Output

This structured output can then be stored in a database, sent to an API, or used in automated workflows.

extraction_result.json

{
  "document_id": "doc_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 Document Types

Parselyze can process many types of documents, including 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.

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 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.

Connect Parselyze to Zapier

Start converting documents to structured JSON today

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Start for Free Invoice extraction example