File Deepfake Detection

Submit any file — documents, images, audio, or video — and receive a detailed analysis of whether the content is AI-generated, digitally manipulated, or authentic.

What is File Deepfake Detection?

File Deepfake Detection is a standalone API service that accepts any supported file and returns a comprehensive analysis of whether its content is AI-generated, digitally manipulated, or authentic. Unlike Live Session Detection — which operates within the context of a verification session — File Deepfake Detection is designed for ad-hoc analysis of documents, images, audio recordings, and video files submitted through any channel. This service is particularly valuable for financial institutions that need to verify the authenticity of supporting documentation submitted during loan applications, account opening, insurance claims, and regulatory filings.

Supported File Types

Category	Formats	Typical Use Cases
Documents	PDF, DOCX	Bank statements, pay stubs, tax returns, identity documents, contracts
Images	JPEG, PNG, TIFF, WEBP	Identity photos, passport scans, proof of address, cheque images
Audio	WAV, MP3, M4A, FLAC	Phone verification recordings, voice authorization captures, call centre recordings
Video	MP4, MOV, WEBM	Video verification recordings, remote notarization sessions, KYC interview recordings

Upload — Your server submits a file via multipart form upload to the analysis endpoint.
Acknowledge — deepidv returns a 202 Accepted response with an analysis_id for tracking.
Analyse — AI models process the file asynchronously. Analysis time varies by file type and size.
Notify — Results are delivered to your configured webhook endpoint when analysis completes.
Retrieve — Optionally poll the results endpoint using the analysis_id if webhook delivery is not configured.

Quick Start

curl -X POST https://api.deepidv.com/v1/deepfake-detection/analyze \
  -H "x-api-key: YOUR_API_KEY" \
  -F "file=@/path/to/document.pdf" \
  -F "file_type=document" \
  -F "callback_url=https://your-server.com/webhooks/deepfake"

const FormData = require("form-data");
const fs = require("fs");

const form = new FormData();
form.append("file", fs.createReadStream("/path/to/document.pdf"));
form.append("file_type", "document");
form.append("callback_url", "https://your-server.com/webhooks/deepfake");

const response = await fetch("https://api.deepidv.com/v1/deepfake-detection/analyze", {
  method: "POST",
  headers: {
    "x-api-key": "YOUR_API_KEY",
    ...form.getHeaders(),
  },
  body: form,
});

const result = await response.json();
console.log(result);

import requests

with open("/path/to/document.pdf", "rb") as f:
    response = requests.post(
        "https://api.deepidv.com/v1/deepfake-detection/analyze",
        headers={
            "x-api-key": "YOUR_API_KEY",
        },
        files={
            "file": ("document.pdf", f, "application/pdf"),
        },
        data={
            "file_type": "document",
            "callback_url": "https://your-server.com/webhooks/deepfake",
        },
    )

print(response.json())

A successful submission returns:

{
  "analysis_id": "df-a1b2c3d4-e5f6-7890-abcd-ef1234567890",
  "status": "processing",
  "estimated_completion": "2025-01-15T10:45:00.000Z"
}

Understanding Results

When analysis completes, the results include the following fields:

Field	Type	Description
`is_ai_generated`	boolean	Whether the content is determined to be AI-generated or materially manipulated.
`confidence_score`	number (0–100)	Confidence that the content is AI-generated. Higher values indicate greater likelihood of synthetic or manipulated content.
`risk_level`	string	Categorized risk assessment: `low`, `medium`, `high`, or `critical`.
`detection_details`	array	Array of specific findings, including the type of manipulation detected and the affected regions or segments of the file.

For the complete response schema and all available fields, refer to the API Reference.

File Size Limits

Constraint	Limit
Maximum file size	50 MB per file
Rate limit	100 requests per minute per API key

Files exceeding 50 MB will be rejected with a 413 Payload Too Large response. For large video files, consider trimming to the relevant segment before submission.

File Analysis Use Cases

Explore banking-specific applications for document and media authenticity verification.

API Reference

View the full API documentation for the file deepfake detection endpoint.

Overview

Live Session Detection

File Analysis API

DeepEye Browser Extension

File Deepfake Detection

What is File Deepfake Detection?

Supported File Types

Quick Start

Understanding Results

File Size Limits

File Analysis Use Cases

API Reference

​What is File Deepfake Detection?

​Supported File Types

​Quick Start

​Understanding Results

​File Size Limits

File Analysis Use Cases

API Reference

What is File Deepfake Detection?

Supported File Types

Quick Start

Understanding Results

File Size Limits