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Enhance Your Video Workflows with FFMPEGAPI.net's Picture in Picture Feature

June 2026 FFMPEG API Team

In today's content-driven world, the ability to create dynamic video presentations has become essential. Whether you're developing an application for AI agents or enhancing a content pipeline, FFMPEGAPI.net offers an efficient way to automate video processing tasks. One of the standout features of this platform is the 'Picture in Picture' functionality, which allows developers to overlay one video on another seamlessly. This article will guide you through the process of using this feature, making it a perfect addition to your video automation toolkit.

What is Picture in Picture?

Picture in Picture (PiP) is a video technique that allows you to overlay one video on top of another. This is particularly useful for tutorials, commentary videos, or presentations where you want to keep the focus on the main content while providing supplementary information in a corner of the screen.

  • Enhances viewer engagement by providing additional context.
  • Ideal for AI agents and automation tools that require video processing.
  • Configurable overlay position and scaling options for customized layouts.

Utilizing the Picture in Picture API Endpoint

FFMPEGAPI.net provides a straightforward RESTful endpoint to create Picture in Picture compositions. This API enables you to specify a main video and an overlay video, along with various customization options such as position, scale, and audio source.

The endpoint is designed for developers and can be integrated into various workflows without any server setup, making it an ideal solution for teams looking to streamline their video processing capabilities.

  • Endpoint Path: /api/picture_in_picture
  • Request Method: POST
  • Content Type: application/json
  • Supports various parameters for flexible video composition.
import requests

url = 'https://ffmpegapi.net/api/picture_in_picture'

payload = {
    'main_video_url': 'https://example.com/main.mp4',
    'pip_video_url': 'https://example.com/overlay.mp4',
    'position': 'top-right'
}

response = requests.post(url, json=payload)
print(response.json())

Parameters for Customization

The Picture in Picture API endpoint accepts several parameters that allow for customization of the overlay. Here’s a breakdown of the key parameters you can use:

  • main_video_url: The URL of the main video (required).
  • pip_video_url: The URL of the overlay video (required).
  • position: The position of the overlay (optional, defaults to 'bottom-right').
  • scale: The scaling options for the overlay (optional, defaults to 'iw/4:ih/4').
  • audio_option: Choose the audio source (optional, defaults to 'video1').
  • async: Process in the background while returning a job_id (optional).

Practical Example of Using the API

To demonstrate how to use the Picture in Picture feature, let’s consider a simple example where we overlay a small video of a presenter over a main video.

curl -X POST https://ffmpegapi.net/api/picture_in_picture \
-H 'Content-Type: application/json' \
-d '{"main_video_url":"https://example.com/main.mp4", "pip_video_url":"https://example.com/overlay.mp4", "position":"top-right"}'

With FFMPEGAPI.net, developers can easily integrate advanced video processing capabilities, such as Picture in Picture, into their applications without the hassle of managing server infrastructure. The hosted API allows for rapid development and deployment of video automation tools, making it an ideal choice for AI agents and content creation pipelines. Start leveraging the power of FFMPEGAPI.net today to enhance your video workflows.

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