curl --request POST \
  --url https://api.tuteliq.ai/api/v1/safety/image \
  --header 'Authorization: Bearer <token>'

const options = {method: 'POST', headers: {Authorization: 'Bearer <token>'}};

fetch('https://api.tuteliq.ai/api/v1/safety/image', options)
  .then(res => res.json())
  .then(res => console.log(res))
  .catch(err => console.error(err));

import requests

url = "https://api.tuteliq.ai/api/v1/safety/image"

headers = {"Authorization": "Bearer <token>"}

response = requests.post(url, headers=headers)

print(response.text)

val client = OkHttpClient()

val request = Request.Builder()
  .url("https://api.tuteliq.ai/api/v1/safety/image")
  .post(null)
  .addHeader("Authorization", "Bearer <token>")
  .build()

val response = client.newCall(request).execute()

import Foundation

let url = URL(string: "https://api.tuteliq.ai/api/v1/safety/image")!
var request = URLRequest(url: url)
request.httpMethod = "POST"
request.timeoutInterval = 10
request.allHTTPHeaderFields = ["Authorization": "Bearer <token>"]

let (data, _) = try await URLSession.shared.data(for: request)
print(String(decoding: data, as: UTF8.self))

using RestSharp;


var options = new RestClientOptions("https://api.tuteliq.ai/api/v1/safety/image");
var client = new RestClient(options);
var request = new RestRequest("");
request.AddHeader("Authorization", "Bearer <token>");
var response = await client.PostAsync(request);

Console.WriteLine("{0}", response.Content);

false

{
  "file_id": "<string>",
  "vision": {
    "extracted_text": "<string>",
    "visual_categories": [
      "<string>"
    ],
    "visual_severity": "<string>",
    "visual_confidence": 123,
    "visual_description": "<string>",
    "contains_text": true,
    "contains_faces": true
  },
  "text_analysis": {},
  "overall_risk_score": 123,
  "overall_severity": "none",
  "detected": true,
  "confidence": 123,
  "recommended_action": "none",
  "action_detail": "<string>",
  "rationale": "<string>",
  "credits_used": 123,
  "external_id": "<string>",
  "incident_moderation_enabled": "<string>",
  "customer_id": "<string>",
  "metadata": {},
  "profanity": {
    "detected": true,
    "matches": [
      "<string>"
    ]
  }
}