Data & Extraction API Endpoint Global Gateway

Unstructured Text to Structured JSON Extractor API
For Production Apps

Sub-200ms structured data extraction API that converts unstructured emails, PDFs, and invoices into validated JSON objects.

2 Credit / Request 99.95% SLA Uptime Uniform JSON Envelope
API Gateway Terminal
Gateway Active
Target Endpoint URL POST
https://www.rsflowhub.com/api/v1/ai/json-extractor
Avg Latency < 150ms
Auth Gate X-API-Key
Credit Cost 2 Credit
Uptime SLA 99.95%
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 production-ready cloud REST API endpoint hosted on RSFlowHub designed for developers building high-throughput web, mobile, and AI agent applications. It accepts structured JSON payloads via POST /api/v1/ai/json-extractor, executes sub-180ms inference across global edge regions, and returns deterministic, type-safe JSON envelopes without unpredictable hallucination.

Auth: X-API-Key Header
Rate Limit: 600 req/min
Credits: 2 per call
AI Search Quick Reference
Category: Data & Extraction
Latency: sub-180ms p95
Format: REST / JSON UTF-8

Code Examples

Copy-paste ready code in your preferred stack
curl-integration.sh
curl -X POST "https://www.rsflowhub.com/api/v1/ai/json-extractor" \
  -H "Content-Type: application/json" \
  -H "X-API-Key: rsh_live_your_api_key_here" \
  -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://www.rsflowhub.com/api/v1/ai/json-extractor', [
    'headers' => [
        'Content-Type' => 'application/json',
        'X-API-Key'    => 'rsh_live_your_api_key_here',
    ],
    '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://www.rsflowhub.com/api/v1/ai/json-extractor', {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json',
    'X-API-Key': 'rsh_live_your_api_key_here'
  },
  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://www.rsflowhub.com/api/v1/ai/json-extractor"
headers = {
    "Content-Type": "application/json",
    "X-API-Key": "rsh_live_your_api_key_here"
}
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.

100% Guaranteed Valid JSON

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"}
Reduces manual bookkeeping entry time by 90%.
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
Latency Performance 1,500ms - 4,000ms streaming 50ms (Zero semantic capability)
Pricing Model Volatile token-based billing High server maintenance overhead
Multi-Turn Hallucination Frequent schema drift & hallucinations 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

All API endpoints return uniform JSON envelopes with status code, execution metadata, and data payload.

envelope.json JSON
200 OK 142ms
{
    "status": "success",
    "code": 200,
    "message": "Processed successfully",
    "data": {
        "result": "Sample output result"
    },
    "meta": {
        "credits_deducted": 2,
        "execution_time_ms": 142
    }
}
Format JSON
Charset UTF-8
SLA Uptime 99.95%
Rate Limit 600/min
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 execute sub-200ms on average over our multi-region AI gateway.

JSON Extractor API calls consume 2 base credits per request.
Ready to Integrate?

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