Analyze File
curl --request POST \
--url https://api.deepidv.com/v1/deepfake-detection/analyzeimport requests
url = "https://api.deepidv.com/v1/deepfake-detection/analyze"
response = requests.post(url)
print(response.text)const options = {method: 'POST'};
fetch('https://api.deepidv.com/v1/deepfake-detection/analyze', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.deepidv.com/v1/deepfake-detection/analyze",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"net/http"
"io"
)
func main() {
url := "https://api.deepidv.com/v1/deepfake-detection/analyze"
req, _ := http.NewRequest("POST", url, nil)
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api.deepidv.com/v1/deepfake-detection/analyze")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.deepidv.com/v1/deepfake-detection/analyze")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
response = http.request(request)
puts response.read_body{
"id": "da_a1b2c3d4-e5f6-7890-abcd-ef1234567890",
"status": "processing",
"file_name": "passport_scan.pdf",
"file_type": "document",
"external_id": "doc-review-789",
"created_at": "2025-01-15T10:30:00.000Z",
"estimated_completion_seconds": 15
}
Deepfake Detection
Analyze File
Submit a file for deepfake and AI-generation detection
POST
/
v1
/
deepfake-detection
/
analyze
Analyze File
curl --request POST \
--url https://api.deepidv.com/v1/deepfake-detection/analyzeimport requests
url = "https://api.deepidv.com/v1/deepfake-detection/analyze"
response = requests.post(url)
print(response.text)const options = {method: 'POST'};
fetch('https://api.deepidv.com/v1/deepfake-detection/analyze', options)
.then(res => res.json())
.then(res => console.log(res))
.catch(err => console.error(err));<?php
$curl = curl_init();
curl_setopt_array($curl, [
CURLOPT_URL => "https://api.deepidv.com/v1/deepfake-detection/analyze",
CURLOPT_RETURNTRANSFER => true,
CURLOPT_ENCODING => "",
CURLOPT_MAXREDIRS => 10,
CURLOPT_TIMEOUT => 30,
CURLOPT_HTTP_VERSION => CURL_HTTP_VERSION_1_1,
CURLOPT_CUSTOMREQUEST => "POST",
]);
$response = curl_exec($curl);
$err = curl_error($curl);
curl_close($curl);
if ($err) {
echo "cURL Error #:" . $err;
} else {
echo $response;
}package main
import (
"fmt"
"net/http"
"io"
)
func main() {
url := "https://api.deepidv.com/v1/deepfake-detection/analyze"
req, _ := http.NewRequest("POST", url, nil)
res, _ := http.DefaultClient.Do(req)
defer res.Body.Close()
body, _ := io.ReadAll(res.Body)
fmt.Println(string(body))
}HttpResponse<String> response = Unirest.post("https://api.deepidv.com/v1/deepfake-detection/analyze")
.asString();require 'uri'
require 'net/http'
url = URI("https://api.deepidv.com/v1/deepfake-detection/analyze")
http = Net::HTTP.new(url.host, url.port)
http.use_ssl = true
request = Net::HTTP::Post.new(url)
response = http.request(request)
puts response.read_body{
"id": "da_a1b2c3d4-e5f6-7890-abcd-ef1234567890",
"status": "processing",
"file_name": "passport_scan.pdf",
"file_type": "document",
"external_id": "doc-review-789",
"created_at": "2025-01-15T10:30:00.000Z",
"estimated_completion_seconds": 15
}
POST /v1/deepfake-detection/analyze
Request
Headers
| Header | Required | Description |
|---|---|---|
x-api-key | Yes | Your API key |
Content-Type | Yes | multipart/form-data |
Body parameters
| Parameter | Type | Required | Description |
|---|---|---|---|
file | file | Yes | The file to analyze. Max size: 50MB |
file_type | string | No | Override auto-detection. Values: document, image, audio, video |
callback_url | string | No | HTTPS URL for webhook delivery of results when analysis completes |
external_id | string | No | Your internal reference ID for this analysis |
Example request
curl -X POST https://api.deepidv.com/v1/deepfake-detection/analyze \
-H "x-api-key: YOUR_API_KEY" \
-F "file=@passport_scan.pdf" \
-F "file_type=document" \
-F "callback_url=https://yourapp.com/webhooks/deepfake" \
-F "external_id=doc-review-789"
const formData = new FormData();
formData.append("file", fs.createReadStream("passport_scan.pdf"));
formData.append("file_type", "document");
formData.append("callback_url", "https://yourapp.com/webhooks/deepfake");
formData.append("external_id", "doc-review-789");
const response = await fetch(
"https://api.deepidv.com/v1/deepfake-detection/analyze",
{
method: "POST",
headers: {
"x-api-key": "YOUR_API_KEY",
},
body: formData,
}
);
const data = await response.json();
import requests
response = requests.post(
"https://api.deepidv.com/v1/deepfake-detection/analyze",
headers={"x-api-key": "YOUR_API_KEY"},
files={"file": open("passport_scan.pdf", "rb")},
data={
"file_type": "document",
"callback_url": "https://yourapp.com/webhooks/deepfake",
"external_id": "doc-review-789",
},
)
Response
202 — Accepted
| Field | Type | Description |
|---|---|---|
id | string | Unique analysis identifier |
status | string | Always processing on creation |
file_name | string | Original filename |
file_type | string | Detected or specified file type |
external_id | string | Your external ID (if provided) |
created_at | string | ISO 8601 timestamp |
estimated_completion_seconds | number | Estimated processing time in seconds |
Error responses
| Status | Description |
|---|---|
400 Bad Request | Missing file or invalid parameters |
401 Unauthorized | Missing or invalid API key |
413 Payload Too Large | File exceeds 50MB limit |
415 Unsupported Media Type | File type not supported |
429 Too Many Requests | Rate limit exceeded |
{
"id": "da_a1b2c3d4-e5f6-7890-abcd-ef1234567890",
"status": "processing",
"file_name": "passport_scan.pdf",
"file_type": "document",
"external_id": "doc-review-789",
"created_at": "2025-01-15T10:30:00.000Z",
"estimated_completion_seconds": 15
}
⌘I
