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| Marketplace | Media Processing

Media Processing

1.0.0 0
This machine automates the creation of social media posts by merging images or videos with design frames and watermarks. It supports both image and video inputs, dynamically resizing and overlaying components based on the user's plan type (free or paid). The processed content is uploaded to AWS S3 and linked back to a scheduling system through API updates. The machine fetches configuration, post data, and watermarks from a remote server, ensuring it's always in sync with backend data.

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Machine Overview
  • Machine Name : Media Processing
  • Title : Media Processing
  • Short Description :
    This machine automates the creation of social media posts by merging images or videos with design frames and watermarks. It supports both image and video inputs, dynamically resizing and overlaying components based on the user's plan type (free or paid). The processed content is uploaded to AWS S3 and linked back to a scheduling system through API updates. The machine fetches configuration, post data, and watermarks from a remote server, ensuring it's always in sync with backend data.
  • Detail Description : This machine automates the generation of social media content by fetching configuration data, user-generated media, and design elements like frames and watermarks from a remote server. It supports both images and videos, adapting the output format to match platform-specific dimensions—square for images and vertical for videos. Media is verified for availability before processing to ensure reliability. Image content is resized to a standard resolution and layered with design frames and optional branding overlays. Video content is resized while maintaining aspect ratio, padded to fit a standard vertical resolution, and enhanced with frame overlays and branding when required. The output is stored temporarily on disk with unique filenames for traceability. Upon successful processing, the final media is uploaded to cloud storage using credentials obtained dynamically, and a public URL is generated. This URL is reported back to an external scheduling service to update the status of each media item. The machine handles multiple media items in a batch, logging the progress and any errors encountered along the way. It distinguishes between different user plans to conditionally apply visual branding. For example, free-tier users receive watermarked content, while premium users get unbranded outputs. All temporary files created during processing are deleted afterward to conserve system resources. The system is designed for seamless integration into a broader media automation workflow and supports cloud-based scalability. It relies on popular Python libraries for image manipulation, video editing, and cloud interaction to ensure high performance and portability. The machine is built with modularity and logging in mind, making it easy to maintain, monitor, and extend. This makes it an ideal solution for content platforms that need personalized, scalable post-production tools for users.
  • Machine Document : -
Classification
  • Industry : IT
  • Category : Data Processing
  • Sub Category : -
Compatibility and Dependencies
  • Dependent Machines : -
  • Compatible Machines : -
  • Version : 1.0.0
Specifications
  • Input Specification : Download

    No Input Required

  • Output Specification : Download

    This object contains the status of merged media processing for scheduled posts.

    status (Array): A list of processed post entries.
    schedule_id (Number): The ID of the scheduled post that was processed.
    user_id (Number): The ID of the user who owns the post.
    merged_image_path (String): The file path or URL of the final merged image or video output.
     

Infrastructure Requirement
  • OS Requirement : Linux
  • CPU : 4
  • Cloud : AWS
  • RAM : 8Gi
Usage Stats
  • Total OnBoarded : -
  • Active OnBoarding : -
Parameter Name Type Description
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July 29, 2025

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This machine automates the creation of social media posts by merging images or videos with design frames and watermarks. It supports both image and video inputs, dynamically resizing and overlaying components based on the user's plan type (free or paid). The processed content is uploaded to AWS S3 and linked back to a scheduling system through API updates. The machine fetches configuration, post data, and watermarks from a remote server, ensuring it's always in sync with backend data.

View Similar

noDataFound

Data Not Found

Specifications
  • Input Specification : Download

    No Input Required

  • Output Specification : Download

    This object contains the status of merged media processing for scheduled posts.

    status (Array): A list of processed post entries.
    schedule_id (Number): The ID of the scheduled post that was processed.
    user_id (Number): The ID of the user who owns the post.
    merged_image_path (String): The file path or URL of the final merged image or video output.
     

Updates and Community

Machine Developer

BotCraft Engineers
  • Last Updated
  • July 29, 2025
  • Version
  • 1.0.0
Version History

Statistics

Total Workflows
0
Active Workflows
0
Success Rate
N/A
Last Used in Workflow
N/A

Categories

Data Processing

Support

Average Response Time 8AM-8PM