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Mr.Shah
Mr.Shah

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Meta AI Watermark Remover

#ai #python #programming #community

Hey there! Ever tried removing a Meta AI watermark from an image? You might’ve spent hours searching for tools, downloading sketchy software, or even trying to edit it out manually—only to end up frustrated. Sound familiar?

Well, I’ve been there too. And after hitting wall after wall, I decided to take matters into my own hands. What if I could use AI to remove the Meta AI watermark? Sounds ironic, right? But guess what? It worked!

I created a simple Python script that does exactly that. And today, I’m sharing it with you. For just 200 Rs., you can get this handy tool and say goodbye to those pesky watermarks. Let me tell you all about it.

Why Should You Care?

Let’s be real—watermarks can ruin an otherwise perfect image. Maybe you’re a content creator, a designer, or just someone who loves sharing clean, professional-looking visuals. Whatever your reason, this tool is here to make your life easier.

With this script, you can remove it in seconds and get back to focusing on what really matters—your work.

How Does It Work?

I’ll keep it simple because no one likes tech jargon. Here’s the step-by-step:

  • Get the Script: Grab the Python script from my Gumroad page
  • Set It Up: Add your Google Gemini API key to the .env file. Don’t worry, I’ll walk you through it.
  • Run It: Place your image in the "images" folder, enter the file name, and let the script do its thing.
  • Enjoy: Your watermark-free image will be waiting for you in the "wrm_images" folder.

A Few Things to Keep in Mind

Now, I’ll be upfront—this tool isn’t perfect (yet!). Here’s what you need to know:

  • It’s designed for Meta AI watermarks. While it might work on others, it’s optimized specifically for Meta AI.
  • It’s not 100% accurate. Sometimes, it might remove other text elements in the image. So, it works best on non-text images.
  • It’s a work in progress. I’m constantly improving it, and your feedback will help make it even better.

A Python-based tool that uses Google's Gemini Vision API to remove watermarks from images.

Press this 👉 I want thissss

Setup

  1. Clone the repository
  2. Install dependencies: 
pip install -r requirements.txt
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  1. Create a .env file in the root directory with your Google API key: 
GOOGLE_API_KEY=your_api_key_here
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Directory Structure

  • Place input images in the images/ directory
  • Processed images will be saved in wrm_images/ directory

Usage

  1. Place your image in the images/ directory (e.g., images/img1.jpg)
  2. Run the program: 
python main.py
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  1. When prompted for "Name:", enter the image filename without extension (e.g., if your image is img1.jpg, just enter img1)
  2. The processed image will be saved in wrm_images/ directory with prefix watermark_removed_
  3. Review the output image and respond with:
    • Y if you're satisfied with the result
    • N if you want to try processing again

Example 

python main.py
Name: img1
# Program processes the image...
Y/N: y  # Enter Y if satisfied, N to retry
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For img1.jpg in images/ directory, the output will be saved as wrm_images/watermark_removed_img1.jpg

Requirements

  • Python 3.9+
  • Google API key with Gemini Vision API access
  • Required Python packages (see requirements.txt)

Quick Demonstration

1. Input Image

Input Image

Output Image

Output Image

2. Input Image

Input Image

Output Image

Output Image
If you’re tired of struggling with watermarks, this tool is for you. For less than the cost of a coffee, you can save yourself hours of frustration.

Final Thoughts

I created this tool because I needed it myself, and I figured others might too. It’s not perfect, but it’s a solid solution for removing Meta AI watermarks quickly and affordably. Plus, it’s a great example of how AI can solve real-world problems—even if it’s something as specific as this.

So, what are you waiting for? Give it a try and let me know what you think. And hey, if you have any suggestions for improving it, I’m all ears. Let’s make this tool even better together!

P.S. If you’re curious about how the script works under the hood, drop a comment, and I’ll break it down for you. Who knows? You might just catch the coding bug yourself! 😉

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