Analyze an image from a URL

Analyze an image fetched from a public URL — a direct image link, or a social/media page (the resolver extracts the image automatically).

Authorization

BearerAuth

AuthorizationBearer <token>

Send your secret API token as a bearer token in the Authorization header: Authorization: Bearer <token>. Keep it server-side and never expose it in client code.

In: header

Request Body

application/json

TypeScript Definitions

Use the request body type in TypeScript.

url*string

HTTPS URL of the image or the page that contains it.

externalId?string

Optional caller-provided ID.

Response Body

`application/json`

cURL

curl -X POST "https://example.com/api/app/image-forensics/process-from-url" \  -H "Content-Type: application/json" \  -d '{    "url": "https://example.com/photo.jpg"  }'

import requestsurl = "https://example.com/api/app/image-forensics/process-from-url"body = """{  "url": "https://example.com/photo.jpg"}"""response = requests.request("POST", url, data = body, headers = {  "Content-Type": "application/json"})print(response.text)

package mainimport (  "fmt"  "net/http"  "io/ioutil"  "strings")func main() {  url := "https://example.com/api/app/image-forensics/process-from-url"  body := strings.NewReader(`{    "url": "https://example.com/photo.jpg"  }`)  req, _ := http.NewRequest("POST", url, body)  req.Header.Add("Content-Type", "application/json")  res, _ := http.DefaultClient.Do(req)  defer res.Body.Close()  body, _ := ioutil.ReadAll(res.Body)  fmt.Println(res)  fmt.Println(string(body))}

import java.net.URI;import java.net.http.HttpClient;import java.net.http.HttpRequest;import java.net.http.HttpResponse;import java.net.http.HttpResponse.BodyHandlers;import java.time.Duration;import java.net.http.HttpRequest.BodyPublishers;var body = BodyPublishers.ofString("""{  "url": "https://example.com/photo.jpg"}""");HttpClient client = HttpClient.newBuilder()  .connectTimeout(Duration.ofSeconds(10))  .build();HttpRequest.Builder requestBuilder = HttpRequest.newBuilder()  .uri(URI.create("https://example.com/api/app/image-forensics/process-from-url"))  .header("Content-Type", "application/json")  .POST(body)  .build();try {  HttpResponse<String> response = client.send(requestBuilder.build(), BodyHandlers.ofString());  System.out.println("Status code: " + response.statusCode());  System.out.println("Response body: " + response.body());} catch (Exception e) {  e.printStackTrace();}

{
  "images": [
    {
      "id": "497f6eca-6276-4993-bfeb-53cbbbba6f08",
      "fileName": "string",
      "verdict": "real",
      "confidence": 0.972,
      "isManipulated": true,
      "creditsUsed": 0,
      "processingTimeMs": 0,
      "errorMessage": "string",
      "createdAt": "2019-08-24T14:15:22Z",
      "deepfakeScore": 0,
      "generators": {
        "property1": 0.1,
        "property2": 0.1
      },
      "deepAnalysis": {
        "agreement": "string",
        "confidence": "string",
        "keyIndicators": [
          "string"
        ],
        "detailedReasoning": "string",
        "visualPatterns": [
          "string"
        ],
        "recommendations": [
          "string"
        ],
        "metadataFindings": [
          {
            "kind": "string",
            "value": "string",
            "significance": "info"
          }
        ]
      },
      "faceAnalysis": {
        "stage": "full_image",
        "fullImageScore": 0,
        "decidingFace": {
          "x": 0,
          "y": 0,
          "width": 0,
          "height": 0,
          "confidence": 0,
          "deepfakeScore": 0
        },
        "faces": [
          {
            "x": 0,
            "y": 0,
            "width": 0,
            "height": 0,
            "confidence": 0,
            "deepfakeScore": 0
          }
        ]
      }
    }
  ],
  "totalCreditsUsed": 0,
  "totalProcessingTimeMs": 0,
  "isSuccessful": true,
  "errorMessage": "string",
  "hasDetailedReport": true
}

File too large

{
  "error": {
    "code": "IMAGE_FORENSICS:FILE_TOO_LARGE",
    "message": "File photo.jpg exceeds the maximum size of 50 MB."
  }
}

Unsupported format

{
  "error": {
    "code": "IMAGE_FORENSICS:UNSUPPORTED_FORMAT",
    "message": "Unsupported file format. Allowed — jpg, jpeg, png, webp, heic, heif, tiff."
  }
}

{
  "error": {
    "code": "UNAUTHORIZED",
    "message": "Invalid or missing API token."
  }
}

Analyze an image from a URL

Authorization

Request Body

Response Body

200application/json

400application/json

401application/json

`application/json`

`application/json`

`application/json`