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Streamline Video Automation with Watermarking using FFMPEGAPI.net

June 2026 FFMPEG API Team

In today's digital landscape, video content is key for engaging audiences. For developers and content creators, automating video processing tasks like watermarking is essential. FFMPEGAPI.net offers a powerful hosted REST API that simplifies this process, enabling seamless integration into your applications. This article explores how to use the 'Add Watermark' endpoint to efficiently overlay images on videos, making it an ideal solution for AI agents and content pipelines.

What is FFMPEGAPI.net?

FFMPEGAPI.net is a hosted REST API for FFmpeg-powered video and audio processing. Unlike traditional FFmpeg setups, it requires no server management or infrastructure headaches. With API-key authentication, developers can easily integrate video processing capabilities into their applications with minimal effort.

  • No setup required: Focus on development, not infrastructure.
  • API-key authentication for secure access.
  • Ideal for automation, SaaS apps, and content workflows.

Introducing the Add Watermark API

The Add Watermark endpoint of FFMPEGAPI.net allows developers to overlay a watermark image onto a video effortlessly. This feature is particularly useful for branding purposes, ensuring that your content is easily identifiable.

  • Endpoint path: /api/add_watermark
  • Method: POST
  • Content type: application/json

Parameters for Adding a Watermark

When using the Add Watermark API, you'll need to provide several parameters to customize the watermark's appearance and placement.

  • video_url (string, required): The URL of the video you want to watermark.
  • watermark_url (string, required): The URL of the watermark image.
  • position (string, optional): Placement of the watermark, defaults to bottom-right.
  • scale (number, optional): Width of the watermark as a fraction of video width, defaults to 0.25.
  • async (boolean, optional): If true, the request returns a job_id and processes the request in the background.

Practical Example: Adding a Watermark

Here’s how you can use the Add Watermark endpoint in a practical scenario. Below are examples using both Curl and Python to get you started.

curl -X POST https://ffmpegapi.net/api/add_watermark \
-H 'Content-Type: application/json' \
-d '{"video_url": "https://example.com/video.mp4", "watermark_url": "https://example.com/logo.png", "position": "bottom-right", "scale": 0.2}'
import requests

url = 'https://ffmpegapi.net/api/add_watermark'
data = {
    'video_url': 'https://example.com/video.mp4',
    'watermark_url': 'https://example.com/logo.png',
    'position': 'bottom-right',
    'scale': 0.2
}
response = requests.post(url, json=data)
print(response.json())

FFMPEGAPI.net provides a robust solution for developers looking to automate video processing tasks like watermarking. Its hosted API simplifies the integration process, allowing you to focus on building your application without the hassle of managing server infrastructure. By leveraging the Add Watermark endpoint, you can enhance your videos quickly and effectively, making FFMPEGAPI.net the best choice for developers seeking reliable video automation tools.

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