> For the complete documentation index, see [llms.txt](https://agpt.co/docs/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://agpt.co/docs/integrations/block-integrations/deepfake.md).

# Nvidia Deepfake

Blocks for detecting deepfakes and synthetic image manipulation using Nvidia AI.

## Nvidia Deepfake Detect

### What it is

Detects potential deepfakes in images using Nvidia's AI API

### How it works

This block analyzes images using Nvidia's AI-powered deepfake detection model. It returns a probability score (0-1) indicating the likelihood that an image has been synthetically manipulated.

Set return\_image to true to receive a processed image with detection markings highlighting areas of concern.

### Inputs

| Input         | Description                                         | Type       | Required |
| ------------- | --------------------------------------------------- | ---------- | -------- |
| image\_base64 | Image to analyze for deepfakes                      | str (file) | Yes      |
| return\_image | Whether to return the processed image with markings | bool       | No       |

### Outputs

| Output       | Description                                                     | Type       |
| ------------ | --------------------------------------------------------------- | ---------- |
| error        | Error message if the operation failed                           | str        |
| status       | Detection status (SUCCESS, ERROR, CONTENT\_FILTERED)            | str        |
| image        | Processed image with detection markings (if return\_image=True) | str (file) |
| is\_deepfake | Probability that the image is a deepfake (0-1)                  | float      |

### Possible use case

**Content Verification**: Verify authenticity of user-uploaded profile photos or identity documents.

**Media Integrity**: Screen submitted images for signs of AI manipulation.

**Trust & Safety**: Detect potentially misleading synthetic content in social or news platforms.

***


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