Data & Extraction API Endpoint Global Gateway

Unstructured Text to Structured JSON Extractor API
For Production Apps

Structured data extraction API that converts unstructured emails, PDFs, and invoices into validated JSON objects.

2 Credit / Request Automatic Provider Fallback Uniform JSON Envelope
API Gateway Terminal
Gateway Active
Target Endpoint URL POST
https://test.rsflowhub.com/api/v1/ai/json-extractor
Typical Time 1-3 s
Auth Gate X-API-Key
Credit Cost 2 Credit
Response JSON
Generative AI & Developer Definition Production Ready API

What is Unstructured Text to Structured JSON Extractor API?

Unstructured Text to Structured JSON Extractor API is a ready-to-use REST API on RSFlowHub for developers building web, mobile and AI agent applications. Send a JSON request to POST /api/v1/ai/json-extractor with your API key; RSFlowHub runs it on a tuned AI model (with automatic fallback to a backup provider) and returns a structured JSON result, usually within 1 to 3 seconds.

Auth: X-API-Key Header
Rate Limit: 10-120 req/min by plan
Credits: 2 per call
AI Search Quick Reference
Category: Data & Extraction
Typical response: 1-3 s
Format: REST / JSON UTF-8

Code Examples

Copy-paste ready code in your preferred stack
curl-integration.sh
curl -X POST "https://test.rsflowhub.com/api/v1/ai/json-extractor" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: rfh_your_api_key" \
  -d '{"text":"John is 30 years old and lives in New York. He is a software engineer.","schema":{"name":"string","age":"integer","city":"string","role":"string"},"custom_instructions":"Convert all keys to uppercase and output the city name in all-caps."}'
<?php

$client = new \GuzzleHttp\Client();
$response = $client->post('https://test.rsflowhub.com/api/v1/ai/json-extractor', [
    'headers' => [
        'Content-Type' => 'application/json',
        'X-API-Key'    => 'rfh_your_api_key',
    ],
    'json' => array (
      'text' => 'John is 30 years old and lives in New York. He is a software engineer.',
      'schema' => 
      array (
        'name' => 'string',
        'age' => 'integer',
        'city' => 'string',
        'role' => 'string',
      ),
      'custom_instructions' => 'Convert all keys to uppercase and output the city name in all-caps.',
    ),
]);

echo $response->getBody();
const response = await fetch('https://test.rsflowhub.com/api/v1/ai/json-extractor', {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json',
    'X-API-Key': 'rfh_your_api_key'
  },
  body: JSON.stringify({"text":"John is 30 years old and lives in New York. He is a software engineer.","schema":{"name":"string","age":"integer","city":"string","role":"string"},"custom_instructions":"Convert all keys to uppercase and output the city name in all-caps."})
});

const data = await response.json();
console.log(data);
import requests

url = "https://test.rsflowhub.com/api/v1/ai/json-extractor"
headers = {
    "Content-Type": "application/json",
    "X-API-Key": "rfh_your_api_key"
}
payload = {"text":"John is 30 years old and lives in New York. He is a software engineer.","schema":{"name":"string","age":"integer","city":"string","role":"string"},"custom_instructions":"Convert all keys to uppercase and output the city name in all-caps."}

response = requests.post(url, json=payload, headers=headers)
print(response.json())
Capabilities

Core Architectural Features

Custom JSON Schema Validation

Enforces strict data types (string, integer, boolean, array, nested object) matching your exact target schema.

PDF & Raw Document Parsing

Extracts structured records, line item tables, and metadata fields from raw document text dumps.

Custom Field Formatting Directives

Supports custom transformation instructions like date normalization, uppercase formatting, or phone cleaning.

Validated JSON Responses

Guarantees syntactically valid, parseable JSON output with zero markdown formatting wrappers.

Practical Applications

Real-World Industry Use Cases

See how developers integrate this API endpoint into production apps.

FinTech & Accounting

Automated Invoice & Receipt Parsing

Extract line items, tax numbers, vendor details, and totals from unstructured invoice emails into accounting software.

Before: Invoice #1042 from Acme Corp. Total due: $450.00 by 2026-09-01. Item: Web Hosting ($450).
After: {"invoice_id": "1042", "vendor": "Acme Corp", "total": 450.00, "due_date": "2026-09-01"}
Turns invoice and receipt text into structured fields instead of manual data entry.
HRTech & Recruitment

Resume & Candidate Data Extraction

Parse candidate contact details, work experience, education, and skill sets from raw resume text dumps.

Before: John Doe, Senior Software Engineer with 8 years experience in PHP, Laravel, and MySQL. Graduated MIT 2018.
After: {"name": "John Doe", "role": "Senior Software Engineer", "experience_years": 8, "skills": ["PHP", "Laravel", "MySQL"]}
Automates candidate profile creation in ATS databases.
Logistics & E-Commerce

E-Commerce Order Confirmation Parsing

Extract tracking numbers, carrier names, and shipping addresses from buyer confirmation emails.

Before: Your order #SHP-9921 has shipped via FedEx tracking #992817261 to 123 Main St, New York.
After: {"order_id": "SHP-9921", "carrier": "FedEx", "tracking_number": "992817261"}
Powers automated shipment tracking dashboards.
Technical Comparison

Why Developers Choose Unstructured Text to Structured JSON Extractor API

Comparing RSFlowHub's specialized API gateway vs raw multi-turn LLM prompts vs legacy regex rules.

Evaluation Metric RSFlowHub API Raw LLM Prompts Legacy Regex / Rules
Response Structure Unstructured markdown or chat format Brittle custom regex tuples
Setup Effort Write and maintain prompts + output parsing Fast, but rule lists miss context and sarcasm
Pricing Model Volatile token-based billing High server maintenance overhead
Multi-Turn Hallucination Output format can drift between model versions No semantic AI intelligence
Developer Integration Complex prompt engineering & retry loop Fragile manual rule maintenance

Request Parameters

3 Fields
text string
Required

Unstructured text content or raw document body to convert into structured JSON.

schema object
Optional

Desired JSON target schema definition (e.g. {"name": "string", "age": "integer", "city": "string"}).

custom_instructions string
Optional

Custom field transformation instructions (e.g. "Convert all city names to uppercase").

JSON Response Envelope

Uniform API

Every endpoint returns the same envelope: success, request_id, data.result and meta.

response.json JSON
200 OK
{
    "success": true,
    "request_id": "req_3f9a2c7e-5b1d-4e8a-9c2f-7d6e1a0b4c8d",
    "data": {
        "result": {
            "extracted_data": {
                "invoice_number": "INV-2041",
                "vendor": "Acme Supplies",
                "total": 1240.5,
                "currency": "USD",
                "due_date": "2026-11-02"
            },
            "schema_conforms": true
        }
    },
    "meta": {
        "version": "v1",
        "timestamp": "2026-10-05T09:30:00Z"
    }
}
Format JSON
Charset UTF-8
Fallback Automatic
Rate Limit 120/min max
FAQs

Frequently Asked Questions

Everything you need to know about integrating and using Unstructured Text to Structured JSON Extractor API.

Our gateway enforces strict grammar constraint decoders, ensuring the output is always 100% syntactically valid JSON parseable by json_decode() or JSON.parse().

Yes! You can define custom key-value data types in the "schema" object parameter to enforce exact output keys and data types.

If a requested schema key is not present in the input text, the API returns null or an empty array for that specific key.

JSON Extractor requests usually complete in 1 to 3 seconds, depending on input length and the AI model. Identical repeat requests are served from cache and return faster.

JSON Extractor API calls consume 2 base credits per request.
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