Add Image Watermark: AI Image Editor

Add custom watermark to images with adjustable position, opacity, and size. Free local processing using PIL.

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Overview

About this model

The add-image-watermark model is designed to seamlessly integrate a custom watermark into your images with precision and ease. Leveraging the powerful Python Imaging Library (PIL) for local processing, this tool offers fine-grained control over watermark placement, opacity, and scale. Whether you are looking to protect branding or add a subtle signature to your visuals, this model efficiently handles the task without the need for cloud-based processing, ensuring that your data remains secure and processing remains swift.

Built with both technical robustness and marketing clarity in mind, the model caters to a wide range of creative and professional applications. Its configuration flexibility and user-friendly parameter settings position it as a superior choice for graphic designers, marketers, and content creators alike. The adjustable parameters make it easy to customize the watermark appearance to meet diverse branding requirements, ensuring that the final output consistently meets high quality and aesthetic standards.

1Adding brand logos to marketing images
2Protecting intellectual property by watermarking creative content
3Enhancing social media visuals with custom watermarks
4Creating personalized digital signatures for photographers
5Automating watermark addition in image batch processing
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Pricing & Value

Cost analysis

muapiapp$0 per generation

muapiapp is 20-50% more affordable, offering a free solution that delivers comparable or superior watermarking quality compared to paid competitors.

Fal.ai$1.00 per generation

Fal.ai charges $1.00 per generation, making muapiapp 100% more affordable while maintaining high performance and quality.

Replicate$1.00 per generation

Replicate also charges $1.00 per generation, positioning muapiapp as a significantly cost-effective alternative with equivalent or better results.

* Competitor pricing is estimated based on similar model architectures and usage tiers.

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Technical Details

Configuration schema

Image URLstring

URL of the input image.

Default Valuehttps://d3adwkbyhxyrtq.cloudfront.net/webassets/videomodels/add-image-watermark1.jpg
Watermark Imagestring

URL of the watermark image (PNG with transparency recommended)

Default Valuehttps://d3adwkbyhxyrtq.cloudfront.net/webassets/videomodels/add-image-watermark2.avif
PositionEnum (5 options)

Position of the watermark on the image

Default Valuebottom-right
Opacityint

Watermark transparency (0 = invisible, 1 = fully opaque)

Default Value0.7
Scaleint

Watermark size relative to video (0.1 = 10%, 1.0 = 100%)

Default Value0.15
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Implementation Guide

Developer documentation

How to Use

  1. Prepare Your Inputs:

    • Ensure you have the URL of the source image (image_url) and the URL of the watermark image (watermark_image_url).
    • Choose the watermark position from the following options: top-left, top-right, bottom-left, bottom-right, or center (default is bottom-right).
    • Adjust the opacity to set the transparency level (range: 0.0 to 1.0, default is 0.7).
    • Define the scale for the watermark size relative to the source image (range: 0.1 to 1.0, default is 0.2).
  2. Execute the Model:

    • Input the prepared values into the tool and initiate the watermarking process using the endpoint: add-image-watermark.
  3. Interpret the Results:

    • The model returns a JSON object containing the image key with a URL to the newly watermarked image.
    • Review and download the final image for your use-case, ensuring the watermark meets your requirements.
  4. Troubleshooting:

    • If the watermark does not appear as expected, verify the input URLs and parameter settings. Make any necessary adjustments and run the process again.

Common Questions

Frequently asked

What image formats are supported by add-image-watermark?

The model supports images via URL input. For best results, use PNG format for the watermark image to preserve transparency, while common image formats like JPEG and PNG are acceptable for the source image.

Do I need an internet connection to process the watermark?

No, the watermarking process is handled locally using the PIL library, ensuring that you can work offline or maintain data privacy.

How can I adjust the watermark’s appearance?

You can control the watermark's appearance by modifying the parameters: choose the desired position, adjust the opacity from 0 to 1, and set the scale from 0.1 (10%) to 1.0 (100%) of the original image size.

Is there any cost associated with using this model?

No, the model is available at no cost ($0 per generation), making it an efficient and budget-friendly solution for watermarking images.