Convert OCR output to structured JSON

Extract fields from scanned documents AI-powered document parsing Structured JSON via API

The Problem

OCR alone does not provide structured data

Traditional OCR tools convert scanned documents and images into plain text. While this allows you to read documents programmatically, the output remains unstructured and difficult to use in applications.

Developers often have to build complex parsing logic, regex rules, or manual cleanup steps to extract usable information from OCR results.

OCR returns raw blocks of text without field structure

Developers must write fragile parsing logic or regex

Changes in document layout break extraction pipelines

Text must still be transformed into structured data manually

The Solution

From OCR text to structured JSON

Parselyze combines OCR with AI-powered document parsing to detect fields and return structured JSON ready to use in your application.

Upload a document

Send scanned PDFs or images through the Parselyze API.

Fields are detected

OCR and AI models identify fields like dates, totals, tables, and entities.

Receive structured JSON

Get clean JSON ready to store in your database or send to downstream APIs.

Example OCR to JSON output

Submit a document and receive structured data instead of raw OCR text.

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
    }
  ]
}

Common OCR to JSON workflows

Convert scanned documents into structured data for automation 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.

Supported document types

Parselyze converts any of these document types to structured JSON via OCR.

Invoices

Receipts

Contracts & NDAs

Medical forms

ID documents

Any custom form

How to Integrate

First OCR extraction in under 5 minutes

Install the Node.js SDK, create a template for your document type, and submit your first file. The result is returned as structured JSON, ready to use in your application.

Install: npm install parselyze

Create a document template in the dashboard

Submit your scanned document and receive structured JSON

Read the full API docs

Ready to integrate?

SDK examples, REST API reference, webhook handler, and cURL samples are all on the developer page.

Developer integration guide

Frequently asked questions

Everything you need to know about OCR to JSON conversion.

What is OCR to JSON conversion?

OCR to JSON conversion is the process of running optical character recognition on a scanned document or image and then structuring the recognized text into a machine-readable JSON object with named fields and values — rather than raw unstructured text.

How is OCR to JSON different from standard OCR?

Standard OCR returns plain text blocks with no structure. OCR to JSON adds an AI-powered extraction layer that maps recognized text to named fields, returning a clean JSON object ready to use directly in your application or database.

What document types does Parselyze support?

Parselyze supports invoices, receipts, contracts, medical forms, ID documents, and any custom form type. You define the fields to extract using a template, making it adaptable to any document layout.

What file formats are accepted?

Parselyze accepts PDF files (native and scanned), PNG, JPG, JPEG, WEBP, TIFF, and BMP images. Multi-page documents are supported. Photos taken on a smartphone work as well as high-quality scans.

How do I get started with the OCR to JSON API?

Sign up for a free account, create a document template in the dashboard, then call the REST API or use the Node.js SDK. Your first extraction can be running in under 5 minutes. 50 pages per month are included free.

Related resources

Receipt to JSON

Receipt-focused parsing workflow

Invoice Parsing API

Invoice-specific extraction workflows

Contract Metadata Extraction

Contract indexing and governance

OCR vs Data Extraction

Understand the difference

Start extracting structured data from OCR today

50 pages/month free · No credit card required

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