> For the complete documentation index, see [llms.txt](https://developer.topazlabs.com/llms.txt). Markdown versions of documentation pages are available by appending `.md` to page URLs; this page is available as [Markdown](https://developer.topazlabs.com/video-models/video-utilities/video-foreground-object-removal.md).

# Video Foreground Object Removal

### Model Overview

**Video Foreground Object Removal** is a video cleanup model designed to remove foreground elements from footage using intelligent pixel reconstruction.

It combines a source video with a tracked matte to remove the selected object across frames, filling missing areas based on surrounding visual information to maintain continuity. Well suited for both creative editing and production workflows, it eliminates the need for a clean plate while preserving the original look of the footage.

### Key Capabilities

* Combines video and a tracked matte to remove foreground objects across frames without requiring a clean plate or paint.
* Outputs background-reconstructed video and supports mask-based workflows for integration into pipelines.
* Reconstructs removed areas with consistent clarity, color, and detail for natural results.

### Pricing

{% hint style="info" %}
For more accurate pricing, we recommend checking out our [Credit Calculator](https://developer.topazlabs.com/credit-calculator).
{% endhint %}

### Getting Started

**Endpoint**

* [https://api.topazlabs.com/video](<https://api.topazlabs.com/video&#xA;&#xA;>)
  * `model` — `"remove-1"`

**API Parameters**

* No parameters

{% hint style="info" %}
This model takes an *input video* & *mask video* as inputs
{% endhint %}

### Example Inputs

{% columns %}
{% column %}
{% file src="/files/pEZLE2cgJNdSUIr3XGGu" %}

{% file src="/files/ywPTBVXZmAmTguAvkKp9" %}

{% file src="/files/JRHyDpISZ52j6qCDUH01" %}

{% endcolumn %}

{% column %}
{% file src="/files/iIM65UncImCPJ4eTZxsR" %}

{% file src="/files/r3VjXhMykYREfUaGrBAD" %}

{% file src="/files/TSvhXFAG7SQESxmF0Ttn" %}

{% endcolumn %}
{% endcolumns %}


---

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