Transpose (Swap Axes)

Transpose images by swapping X and Y axes—a mathematical transformation that converts rows to columns and columns to rows. This produces a 90° rotation combined with a horizontal flip, or equivalently, a reflection across the main diagonal of the image matrix.

Transposition is a matrix operation that swaps coordinates: pixel at position (x, y) moves to position (y, x). The result differs from simple 90° rotation by also mirroring the image. This specific transformation appears in image processing pipelines, scientific imaging applications, and certain encoding workflows. The operation is lossless—pixels are rearranged without interpolation.

Image processing developers working with matrix-based algorithms that expect transposed input prepare data appropriately. Scientific imaging applications using row-major vs column-major conventions convert between representations. Machine learning workflows preprocessing image data for models expecting specific orientations apply transposition. JPEG encoding and decoding pipelines handling certain internal representations use transposition. For most users, standard rotation tools are more intuitive—transpose serves specific technical requirements where the axis-swap behavior is explicitly needed rather than simple orientation change.