Didit Docs

Document Geolocation

Didit's Document Address Geolocation verification offers a comprehensive solution to validate user addresses efficiently and accurately. Our system leverages advanced AI technology and external data sources to ensure the authenticity and validity of address information.

Capture

Users upload an image of their document with their address information
Support for multiple document types (passports, IDs, permits)
Multi-language and format support
Our advanced AI extracts the data from the document

Data Extraction

The address is validated with different sources and geolocated by IP
Integration with Google Maps and OpenStreetMap
Component-level address validation
Fictitious address detection to avoid possible fraud

Analysis

A full report is generated on the validation status
Detailed verification results with standardized outputs
Comprehensive verification reports
Results can be received via dashboard, webhooks or API

Our system supports global address formats and provides standardized outputs regardless of the input document type or region.

Report Structure

The Document Geolocation report returns a JSON object with a root-level address field containing all verification results.

Core Response Fields

interface DocumentGeolocationResponse {
  address: string;
  parsed_address: {
    id: string;
    label: string;
    street_1: string;
    street_2: string | null;
    city: string;
    region: string;
    postal_code: string;
    raw_results: {
      geometry: {
        location: {
          lat: number;
          lng: number;
        };
        location_type: string;
        viewport: {
          northeast: {
            lat: number;
            lng: number;
          };
          southwest: {
            lat: number;
            lng: number;
          };
        };
      };
      formatted_address: string;
    };
  };
}

Response Fields

Address Information

address: Complete address as extracted from document
parsed_address.street_1: Primary street information
parsed_address.street_2: Secondary street information
parsed_address.city: City name
parsed_address.region: State or region
parsed_address.postal_code: ZIP or postal code

Geolocation Data

raw_results.geometry.location: Precise coordinates
raw_results.location_type: Accuracy level of geolocation
raw_results.viewport: Coordinate boundaries
raw_results.formatted_address: Standardized address format

Sample JSON Response

{
  "address": "Avda de Madrid 34, Madrid, Madrid",
  "parsed_address": {
    "id": "7c6280a2-fb6a-4258-93d5-2ac987cbc6ba",
    "city": "Madrid",
    "label": "Spain ID Card Address",
    "region": "Madrid",
    "street_1": "Avda de Madrid 34",
    "street_2": null,
    "postal_code": "28822",
    "raw_results": {
      "geometry": {
        "location": {
          "lat": 37.4222804,
          "lng": -122.0843428
        },
        "location_type": "ROOFTOP",
        "viewport": {
          "northeast": {
            "lat": 37.4237349802915,
            "lng": -122.083183169709
          },
          "southwest": {
            "lat": 37.4210370197085,
            "lng": -122.085881130292
          }
        }
      },
      "formatted_address": "Avda de Madrid 34, Madrid, Madrid 28822, Spain"
    }
  }
}

For a complete list of possible properties and their values, please refer to our API Reference.

Security and Privacy Considerations

Address information extracted from documents should be handled with appropriate security measures and in compliance with relevant data protection regulations. Implement proper access controls and data retention policies for this sensitive information.

Supported Documents Document Monitoring