Watermarking images sounds simple—until you need to do it at scale, with consistent branding, full control, and without relying on cloud services or subscriptions.
WatermarkX v1.0 is a desktop application built in Python that solves exactly that problem. It’s designed for developers, photographers, and content creators who want a fast, offline, and fully controllable way to apply professional watermarks to images—individually or in batches.
The entire project is available as a standalone Windows EXE or as full Python source code, making it easy to use, customize, or integrate into existing workflows.
Why Build Another Watermarking Tool?
Most watermarking solutions fall into one of three categories:
Online tools that upload your images to third-party servers
Subscription-based de…
Watermarking images sounds simple—until you need to do it at scale, with consistent branding, full control, and without relying on cloud services or subscriptions.
WatermarkX v1.0 is a desktop application built in Python that solves exactly that problem. It’s designed for developers, photographers, and content creators who want a fast, offline, and fully controllable way to apply professional watermarks to images—individually or in batches.
The entire project is available as a standalone Windows EXE or as full Python source code, making it easy to use, customize, or integrate into existing workflows.
Why Build Another Watermarking Tool?
Most watermarking solutions fall into one of three categories:
Online tools that upload your images to third-party servers
Subscription-based desktop apps
Minimal scripts with no UI, progress tracking, or safety controls
WatermarkX was built to be:
Offline-first
One-time purchase
Predictable and safe
Customizable at the source-code level
No accounts. No APIs. No background services.
Core Features Text & Logo Watermarks
WatermarkX supports both text and PNG logo watermarks with full control over:
Opacity
Rotation
Color
Font size
Stroke / outline thickness
This ensures visibility across different image backgrounds without damaging the original image quality.
Repeating Diagonal Watermarks
For preview images or high-risk content, WatermarkX can tile a diagonal watermark across the entire image. This is especially useful for portfolios and marketplaces.
Batch Processing
Process dozens or hundreds of images in a single run. All images are processed sequentially to ensure stability and consistent results.
Drag & Drop Interface
Images or folders can be added via drag-and-drop, reducing friction for everyday use.
Real-Time Progress & Control
Live progress bar
ETA (estimated time remaining)
Images-per-second counter
Safe Start / Stop controls
You can cancel processing at any time without freezing the UI.
Technical Overview
WatermarkX is built with a simple, maintainable Python stack:
Python 3.8+
Pillow for image processing
Tkinter + ttkbootstrap for the UI
threading for non-blocking background processing
The architecture is intentionally straightforward, making it easy to:
Modify watermark logic
Add new output formats
Integrate automation
Rebrand or extend the UI
Offline by Design
All processing happens locally:
No image uploads
No telemetry
No internet required
This makes WatermarkX suitable for:
Corporate environments
Air-gapped machines
Privacy-sensitive workflows
Available Versions Windows EXE
No Python installation required
Portable
Ready to run instantly
Full Source Code
Complete Python source
Cross-platform (Windows, macOS, Linux with Python)
Ideal for developers and students
EXE + Source Code
Best value option
Use immediately, customize later
Licensing
WatermarkX is distributed under a single-user commercial license:
Personal and commercial use allowed
Redistribution or resale as a competing product is not permitted
Get WatermarkX
If you’re looking for a clean, offline, and developer-friendly image watermarking solution, WatermarkX v1.0 is built to fit naturally into your workflow.
👉 Get WatermarkX on Gumroad 🔗 https://gum.new/gum/cmka62o2l001w04l42jmy3i9y
Final Thoughts
WatermarkX doesn’t try to replace large photo-editing suites. Instead, it focuses on doing one thing well: reliable, professional watermarking at scale.
If you value control, simplicity, and offline-first tools—this project is worth checking out.