Image Flipper

The Image Flipper mirrors any image horizontally (left-right) or vertically (top-bottom) in a single click. Flipping is useful for social media selfies (many phones take selfies flipped horizontally so they look natural in a mirror — flipping corrects this for posting), creative composition (flipped versions create symmetry or surprise), fixing scanned documents that came in flipped, and preparing images for specific use cases where mirror symmetry matters.

Upload an image, choose horizontal or vertical flip (or both for 180° rotation equivalent), and download the result. Quality is preserved exactly — flipping pixels doesn\u2019t change their values, just their positions. Works with JPG, PNG, WebP, GIF, and BMP formats. Preserves transparency for PNG and WebP. All processing runs in your browser with no upload, so personal photos and confidential images stay private.

Image flipping uses Canvas API\u2019s transformation:

Horizontal flip (mirror left-right):
ctx.scale(-1, 1)
ctx.translate(-img.width, 0)
ctx.drawImage(img, 0, 0)

Vertical flip (upside down):
ctx.scale(1, -1)
ctx.translate(0, -img.height)
ctx.drawImage(img, 0, 0)

Both combined = 180° rotation.

Lossless: flipping rearranges pixels, doesn\u2019t modify values. Quality is identical to original (subject to re-encoding if format changes).

Re-encoding quality: saving as JPEG after flip re-compresses the image. For lossless workflow, save as PNG, WebP, or match the original format.

EXIF handling: EXIF Orientation tag can encode flips as well as rotations. Some phone photos have orientation flags like \"flipped horizontal\" (value 2) or \"rotated 180 and flipped\" (value 4). Tools should apply EXIF first, then user-requested flip, to get intended result.

Transparency: PNG and WebP alpha channels are preserved exactly — flipping doesn\u2019t touch pixel values.

Performance: flipping is O(pixels) but the Canvas 2D engine is hardware-accelerated. Multi-megapixel images flip in milliseconds.

Common use cases in detail:

Selfies: iOS and Android camera apps often mirror the preview so faces appear natural (like looking in a mirror), but save the photo as-is (un-mirrored). When posted to social media, text in the background reads correctly but the face is reversed from how the photographer saw it. Flipping horizontally produces the photographer\u2019s view.

Scanned documents: flatbed scanners sometimes scan documents flipped (if placed face-down and viewed from the glass side). Horizontal or vertical flip corrects this.

Symmetry composition: flipping one half of an image and compositing with the original creates perfect symmetry. Useful for artistic effects.

Image augmentation for ML: random flips are a common augmentation technique for training machine learning models. Expands training data without collecting new images.

Compared to Photoshop or GIMP, this tool is a one-click operation with no installation needed. For quick flips, this is faster. For complex editing beyond flipping, editors are more capable.

Compared to phone photo apps, this tool doesn\u2019t re-compress or modify the image further. Phone apps often reduce quality; browser flip preserves exact pixel values.

Compared to online editors like Pixlr, this tool is focused just on flipping. For a single operation, this is faster; for multi-step editing, full online editors are better.