AI-Powered API & Data Transformation Engine

Transform raw APIs, legacy systems, or unstructured data into your ideal domain models using advanced AI

Data Transformation

XML to JSON in seconds

Input (XML)

<Prod>
  <ID>123</ID>
  <Cost>49.99</Cost>
  <Name>Premium Headphones</Name>
  <Stock>42</Stock>
</Prod>

Output (JSON)

{
  "productCode": "123",
  "name": "Premium Headphones",
  "price": 49.99,
  "inventory": 42
}

How It Works

Transform any data format into your ideal structure in just three simple steps

1. Define Your Domain Model

Describe your ideal data structure using JSON schema or natural language

JSON Schema Example

{
  "type": "object",
  "properties": {
    "productId": { "type": "string" },
    "name": { "type": "string" },
    "price": { "type": "number" },
    "inventory": { "type": "integer" }
  }
}

Define once, use everywhere
Natural language descriptions

2. Connect Data Sources

Link your APIs, databases, or file sources with a few clicks

REST

SOAP

GraphQL

CSV

XML

JSON

No-code connectors
Automatic field detection

3. Get Transformed Data

AI automatically maps fields and transforms your data in real-time

BeforeAfter

<Prod>
  <ID>123</ID>
  <Cost>49.99</Cost>

{
  "productId": "123",
  "price": 49.99

Intelligent field mapping
Real-time transformations

Industry Solutions

See how GlueIt AI transforms data across different industries

Social Media Data Integration

The Problem

Social platforms (Twitter, Instagram, Facebook) have incompatible post formats - likes vs favorites, different field names, nested engagement metrics

The Solution

Normalize social media data from any platform into a unified format for analytics

Business Impact

Unified social listening across 5+ platforms
60% faster campaign reporting
Influencer ROI tracking in single dashboard

Data Transformation Example

Input (Multiple Sources)

JSON

// Facebook API
{
  "id": "2052097965223294",
  "name": "Priya Patel",
  "email": "priya.patel@email.com",
  "verified": true,
  "location": {
    "id": "106078429431816",
    "name": "Bangalore, Karnataka"
  },
  "posts": {
    "data": [
      {
        "id": "post_223456",
        "message": "Celebrating 5 years at TechCorp! 🎉 #CareerMilestone",
        "created_time": "2024-01-15T08:30:00+0000",
        "reactions": {
          "summary": {
            "total_count": 567,
            "reaction_types": {
              "LIKE": 389,
              "LOVE": 156,
              "WOW": 22
            }
          }
        },
        "comments": {
          "summary": { "total_count": 145 }
        },
        "shares": { "count": 23 }
      }
    ]
  },
  "friends": { "summary": { "total_count": 892 } }
}

// Twitter API
{
  "id_str": "2052097965223294",
  "screen_name": "priyapatel",
  "followers_count": 1200,
  "statuses": [
    {
      "id_str": "tw_789",
      "text": "Excited for the new project launch! #TechLife",
      "created_at": "Mon Mar 10 14:22:17 +0000 2025",
      "favorite_count": 320,
      "retweet_count": 85
    }
  ]
}

Domain Model

JSON SCHEMA

{
  "type": "object",
  "properties": {
    "user_identity": {
      "type": "object",
      "properties": {
        "name": { "type": "string" },
        "username": { "type": "string" },
        "identifier": { "type": "string" },
        "email": { "type": "string" }
      }
    },
    "engagement_metrics": {
      "type": "object",
      "properties": {
        "followers": { "type": "string" },
        "friends": { "type": "string" }
      }
    },
    "posts": {
      "type": "array",
      "items": {
        "type": "object",
        "properties": {
          "content": {
            "type": "object",
            "properties": {
              "text": { "type": "string" },
              "image": { "type": "string" },
              "created_at": { "type": "number" }
            }
          },
          "impressions": {
            "type": "object",
            "properties": {
              "likes": { "type": "number" },
              "shares": { "type": "number" },
              "comments": { "type": "number" }
            }
          }
        }
      }
    }
  }
}

Output

JSON

{
  "user_identity": {
    "name": "Priya Patel",
    "username": "priyapatel",
    "identifier": "2052097965223294",
    "email": "priya.patel@email.com"
  },
  "engagement_metrics": {
    "followers": "1200",
    "friends": "892"
  },
  "posts": [
    {
      "content": {
        "text": "Celebrating 5 years at TechCorp! 🎉 #CareerMilestone",
        "image": null,
        "created_at": 1705303800000
      },
      "impressions": {
        "likes": 567,
        "shares": 23,
        "comments": 145
      }
    },
    {
      "content": {
        "text": "Excited for the new project launch! #TechLife",
        "image": null,
        "created_at": 1741614137000
      },
      "impressions": {
        "likes": 320,
        "shares": 85,
        "comments": null
      }
    }
  ]
}

E-Commerce Data Integration

The Problem

Managing product data across multiple suppliers with inconsistent formats

The Solution

Automatically normalize product data from any source into your standard format

Business Impact

78% faster supplier onboarding
99.8% inventory accuracy
$150K/yr saved in reconciliation

Data Transformation Example

Input

XML

<Prod>
  <ID>123</ID>
  <Cost>49.99</Cost>
  <Name>Premium Headphones</Name>
  <Stock>42</Stock>
</Prod>

Output

JSON

{
  "productCode": "123",
  "name": "Premium Headphones",
  "price": 49.99,
  "inventory": 42
}

Healthcare Data Integration

The Problem

Converting legacy HL7 messages to modern FHIR standards

The Solution

Transform any healthcare data format to FHIR-compliant JSON automatically

Business Impact

90% faster FHIR compliance
40% reduction in interface engine costs
HIPAA audit pass rate: 100%

Data Transformation Example

Input

TEXT

PID|||PATID1234^5^M11^ADT1^MR^CHC~123456^^^CF^PN|DOE^JOHN^^^^|||M||||||123 MAIN ST^^ANYTOWN^NY^12345

Output

JSON

{
  "resourceType": "Patient",
  "id": "PATID1234",
  "name": [
    {
      "family": "Doe",
      "given": ["John"]
    }
  ],
  "gender": "male",
  "address": [
    {
      "line": ["123 Main St"],
      "city": "Anytown",
      "state": "NY",
      "postalCode": "12345"
    }
  ]
}

Fintech Data Integration

The Problem

Integrating with multiple payment processors and banking APIs

The Solution

Standardize transaction data from any source into your preferred format

Business Impact

Reduced fraud detection latency from minutes to seconds
Simplified integration with 20+ banking APIs
Accelerated financial reporting to real-time

Data Transformation Example

Input

JSON

{
  "txn_id": "TXN-1001",
  "transaction_details": {
    "amount": {
      "value": "500.00",
      "currency": "USD"
    },
    "timestamp": "2025-03-22T14:22:17Z"
  },
  "merchant": {
    "id": "MERCH-456",
    "name": "Coffee Shop"
  }
}

Output

JSON

{
  "transaction_id": "TXN-1001",
  "amount": 500.00,
  "currency": "USD",
  "date": "2025-03-22",
  "time": "14:22:17",
  "merchant_id": "MERCH-456",
  "merchant_name": "Coffee Shop"
}

Logistics Data Integration

The Problem

Tracking shipments across multiple carriers with different APIs

The Solution

Normalize tracking data from any carrier into a single unified format

Business Impact

Enabled real-time tracking across 8 different carriers
Reduced customer service calls by 40%
Added support for new carriers in hours instead of weeks

Data Transformation Example

Input

XML

<TrackingResponse>
  <TrackingNumber>7891234560</TrackingNumber>
  <ShipmentInfo>
    <ServiceType>FEDEX_EXPRESS</ServiceType>
    <Status>IN_TRANSIT</Status>
    <EstimatedDelivery>2025-03-25T10:30:00</EstimatedDelivery>
    <CurrentLocation>
      <City>Atlanta</City>
      <State>GA</State>
      <Country>US</Country>
    </CurrentLocation>
  </ShipmentInfo>
</TrackingResponse>

Output

JSON

{
  "tracking_id": "7891234560",
  "carrier": "fedex",
  "service_level": "express",
  "status": "in_transit",
  "eta": "2025-03-25T10:30:00",
  "location": {
    "city": "Atlanta",
    "state": "GA",
    "country": "US"
  }
}

IoT/Manufacturing Data Integration

The Problem

Integrating data from diverse sensors and industrial equipment

The Solution

Standardize IoT data from any device into a consistent format for analytics

Business Impact

Real-time IoT dashboards updated croit in milliseconds
50% reduction in data pipeline complexity
Added new sensors without reconfiguring visualization systems

Data Transformation Example

Input

XML

<SensorData>
  <SensorID>TEMP-101</SensorID>
  <ReadingTime>2025-03-22T16:45:22</ReadingTime>
  <Values>
    <Temperature units="C">37.2</Temperature>
    <Humidity units="%">58.4</Humidity>
    <Pressure units="kPa">101.3</Pressure>
  </Values>
  <BatteryLevel>78</BatteryLevel>
</SensorData>

Output

JSON

{
  "device_id": "TEMP-101",
  "timestamp": "2025-03-22T16:45:22",
  "readings": {
    "temperature": 37.2,
    "humidity": 58.4,
    "pressure": 101.3
  },
  "battery": 78,
  "units": {
    "temperature": "C",
    "humidity": "%",
    "pressure": "kPa"
  }
}

Get in Touch

Have questions about GlueIt AI? Our team is here to help.

AI-Powered API & Data Transformation Engine

Data Transformation

How It Works

1. Define Your Domain Model

2. Connect Data Sources

3. Get Transformed Data

Industry Solutions

Social Media Data Integration

The Problem

The Solution

Business Impact

Data Transformation Example

Input (Multiple Sources)

Domain Model

Output

E-Commerce Data Integration

The Problem

The Solution

Business Impact

Data Transformation Example

Input

Output

Healthcare Data Integration

The Problem

The Solution

Business Impact

Data Transformation Example

Input

Output

Fintech Data Integration

The Problem

The Solution

Business Impact

Data Transformation Example

Input

Output

Logistics Data Integration

The Problem

The Solution

Business Impact

Data Transformation Example

Input

Output

IoT/Manufacturing Data Integration

The Problem

The Solution

Business Impact

Data Transformation Example

Input

Output

Get in Touch

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