Flip Image
Mirror any image horizontally or vertically online for free — instant preview, no quality loss, processed entirely in your browser.
Max file size 10MB. Sign up for more.
How To Flip An Image Online For Free
Drag and drop an image or click to browse. Supports PNG, JPG, WebP, and BMP.
Click Flip Horizontal or Flip Vertical. Combine both if you need a 180° mirror.
Choose PNG, JPG, or WebP and download. The flipped image keeps its original resolution.
Mirror images left-to-right or top-to-bottom in one click.
Un-mirror front-camera photos so text and logos read correctly.
Pixel-perfect flip at full resolution — no quality loss.
Runs locally on your device. Your images stay private.
Frequently Asked Questions
How to mirror a selfie so text reads correctly
What is the difference between flipping horizontally and vertically?
Does flipping reduce image quality?
How to flip an image for a design or print layout
Can I flip an image on my phone without an app?
Are my images uploaded to a server?
What formats can I use?
Common Use Cases
- Mirror selfies for natural appearance
- Create symmetrical designs and patterns
- Fix images taken with front-facing cameras
- Prepare product photos for e-commerce listings with consistent orientation
- Generate creative mirror-effect compositions for social media
How Image Flipping Works
Image flipping creates a mirror reflection of your photo along either the horizontal or vertical axis. A horizontal flip reverses the image left-to-right, producing the same effect as looking in a mirror. A vertical flip turns the image upside down by reversing it top-to-bottom. Unlike rotation, flipping preserves the exact dimensions of your original image while changing the orientation of its contents.
Flipping is one of the most fundamental image transformations in digital photography and graphic design. Front-facing camera photos often appear reversed compared to how others see you, and a simple horizontal flip corrects this. Designers frequently use flipping to create symmetrical compositions, reflection effects, and balanced visual layouts. The transformation is lossless when applied to the raw pixel data, meaning no image quality is lost during the process.
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