Panorama Stitcher vs stitching

Panorama Stitcher combines multiple photographs into a higher-resolution composite, automatically aligning source images by matching overlapping areas. It supports spherical alignment for panoramas made by rotating a camera and planar alignment for scans, microscope images, and aerial maps. The app levels exposure and corrects lens shading automatically. Spherical panoramas can use rectilinear or equirectilinear projection, while planar images have a rotation control. Before export, users can straighten or rotate the result, adjust exposure, and set cropping. It imports image formats supported by macOS, including Apple RAW formats, and exports JPEG, 16-bit TIFF, or PNG. Output can merge EXIF tags from the source images, and equirectangular panoramas can use Photosphere tags. Panorama Stitcher Mini is a free Mac edition for smaller projects and stitches up to five images; its listed plan costs nothing. The app accesses only selected files, does not collect user data or send images to the maker or third parties, and has no Internet access. Version 1.11 requires macOS 10.14 or later and added native Apple M1 support, according to release notes.

stitching is a free Python package for making panoramas from image files or images already loaded in a program. It is based on OpenCV’s stitching module and can be used through a command-line interface or from Python scripts. The CLI can process JPG files in a directory, images selected with a wildcard, or explicitly named files; the Python API provides Stitcher and AffineStitcher classes. Stitcher accepts custom settings, and AffineStitcher corresponds to the CLI’s affine option. For troubleshooting, verbose mode saves intermediate results, while supplied utilities and a Jupyter Notebook tutorial help inspect RANSAC matches and blended seam lines. The package can be installed with pip or run from the openstitching/stitch Docker image. In Docker, images are read from a mounted /data directory and the default output is result.jpg in that directory. The project recommends stitching-headless for server and cloud environments. It is Python 3 only and distributed under the Apache License 2.0. PyPI lists version 0.7.0, released September 5, 2026.