Visual Merge Images is a user-friendly web application designed to merge images visually. This tool allows users to combine multiple images into a single canvas, providing a seamless and intuitive interface for image merging. Whether you want to create collages, composite images, or simply overlay graphics, Visual Merge Images offers a straightforward solution.
Similar Tools 🖌️
Similar tools for image merging include Adobe Photoshop, GIMP, and various online image editors. These tools offer advanced features but can be complex for casual users.
- Easy Image Selection: Users can easily select images from their local storage.
- Image Import: Import images directly from URLs or using XPath.
- Zoom and Resize: Convenient zoom and resizing options for precise placement.
- Layer Management: Control the z-position of images for layering.
- Custom Canvas: Create a custom canvas with adjustable dimensions.
- Real-Time Preview: Instantly preview the merged image as you work.
- Export: Save the merged image in various formats, including PNG and JPEG.
Visual Merge Images simplifies the image merging process, making it accessible to users with various levels of expertise. Whether you're a graphic designer, photographer, or anyone who needs to combine images, this tool streamlines the task with an intuitive interface.
Try Visual Merge Images today and unlock the creative possibilities of image merging!
Here's a list of tasks for the development of Visual Merge Images:
- Setup basic HTML, CSS, and project architecture.
- Setup NPM and TypeScript for the project.
- Setup Webpack for bundling and building.
- Create a simple user interface (UX) design.
- Implement file selection from local storage.
- Add functionality for image selection from URL and XPath.
- Implement zoom functionality.
- Add resizing capabilities.
- Implement z-position change for images.
Feel free to contribute to this project and help us achieve these goals!
We welcome contributions from the community! If you'd like to contribute to Visual Merge Images, please refer to the Contributing Guidelines.
Please note that this project has adopted the Contributor Covenant Code of Conduct. We expect all contributors to adhere to its guidelines.
This project is licensed under the MIT License.