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

# About Resistant Documents

Resistant AI Documents helps teams detect **document fraud, manipulation, and reuse** in **PDFs and images**—fast, explainably, and at scale. \
\
It’s designed for workflows like **underwriting**, **KYC, KYB**, **claims** and **investigations**, where decisions need to be consistent and auditable.

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## What the product does

### Check any document, from anywhere

* Fraud and authenticity checks in seconds
* Works on **PDFs & images**
* Language and document agnostic
* Available via **API** and **drag-and-drop Web UI**

### Explainable fraud detection

The system surfaces:

* **risk verdicts**
* **indicator-level explanations**
* **metadata checks**
* **document classification**
* **visualization of localized detections** (when supported)

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## Core capabilities (high level)

Resistant AI uses a large library of detectors to identify suspicious document patterns and manipulations, including:

* detectors for many common editors/tools
* template-farmed documents, AI-generated documents, document reuse
* metadata changes
* pixel structure anomalies
* digital content manipulation detection
* authenticity and anomaly checks of known digitally issued PDFs
* format hopping
* digital signature validation

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## Recommended: Adaptive decisioning

If you need an actionable outcome (approve / escalate / reject), Adaptive Decisioning can map document signals to your policy:

* customize verdicts to your risk appetite
* automate more, review less

<Tip>
  **Practical note:** Decisioning is typically consumed by backend workflows and exposed to analysts.
</Tip>

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