> ## Documentation Index
> Fetch the complete documentation index at: https://docs.deepxl.ai/llms.txt
> Use this file to discover all available pages before exploring further.

# Introduction

> Forensic AI for document/object fraud detection, identity verification, and data extraction

# Welcome to DeepXL

DeepXL is a forensic AI platform that detects manipulated documents, verifies identities, and extracts structured data — built for lenders, insurers, and government. Integrate via a simple API to catch AI-generated fraud that legacy systems miss.

## Our Models

<CardGroup cols={2}>
  <Card title="Document Model" icon="file-shield" href="/guides/fraud-detection">
    Detects AI-generated or altered documents and IDs — bank statements, invoices, passports, driver licenses, and more.
  </Card>

  <Card title="Object Model" icon="image" href="/guides/fraud-detection">
    Detects whether an image has been AI-generated or manipulated — photos, claim evidence, receipts, and other visual content.
  </Card>

  <Card title="Parsing Model" icon="file-lines" href="/guides/document-parsing">
    Extracts and parses structured data from IDs and documents — names, dates, addresses, amounts, and more.
  </Card>

  <Card title="ID-Selfie Model" icon="id-card" href="/guides/id-verification">
    Verifies identity by matching an ID document against a selfie image or video.
  </Card>
</CardGroup>

## Model Details

### Document Model

Detects AI-generated, digitally altered, or tampered documents — including bank statements, pay stubs, invoices, passports, and driver licenses.

**What it analyzes:**

* Pixel-level manipulation artifacts and metadata inconsistencies
* Font, layout, and formatting anomalies inconsistent with the issuing source
* Signs of generative AI fabrication (synthetic documents with no original)

### Object Model

Detects whether a photo or visual asset has been AI-generated or manipulated — covering claim evidence photos, product images, receipts, and general visual content.

**What it analyzes:**

* GAN/diffusion model generation signatures
* Image splicing, cloning, and compositing artifacts
* Lighting, shadow, and perspective inconsistencies

### Parsing Model

Extracts and normalizes structured data from identity documents and financial records — eliminating the need for manual data entry or custom OCR pipelines.

**What it analyzes:**

* Identity documents (driver licenses, state IDs, passports, Social Security cards)
* Financial records (bank statements, pay stubs)
* Extracts fields such as names, dates, amounts, account numbers, and document numbers

### ID-Selfie Model

Verifies that a person presenting an ID document is the same individual captured in a selfie image or short video — combining liveness detection with facial matching.

**What it analyzes:**

* Biometric similarity between the ID photo and the selfie or video frame
* Liveness signals to prevent spoofing (printed photos, screen replays, deepfakes)
* Facial landmark detection and bounding box coordinates for both inputs

## How It Works

1. **Authenticate** with an API key
2. **Upload** a document or image to an analysis endpoint
3. **Receive** structured results with fraud scores, quality classifications, and detailed reasoning
4. **Retrieve** associated files (originals, heatmaps) via the file retrieval endpoint

## Supported File Types

| Format      | Document Model | Object Model | Parsing Model | ID-Selfie Model |
| ----------- | :------------: | :----------: | :-----------: | :-------------: |
| JPEG / JPG  |       Yes      |      Yes     |      Yes      |       Yes       |
| PNG         |       Yes      |      Yes     |      Yes      |       Yes       |
| WebP        |       Yes      |      Yes     |      Yes      |       Yes       |
| PDF         |       Yes      |      No      |      Yes      |        No       |
| MP4 / Video |       No       |      No      |       No      |       Yes       |

## Next Steps

<CardGroup cols={2}>
  <Card title="Quickstart" icon="rocket" href="/quickstart">
    Make your first API call in minutes.
  </Card>

  <Card title="Authentication" icon="key" href="/authentication">
    Learn how to authenticate your requests.
  </Card>
</CardGroup>