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AndreaMosaic vs phomo

Both stand on photo mosaic software. Which one you can start free with, which one lets you read the code, and what each costs once you pay.

AndreaMosaic

Free plan LinuxMacWindows

Choose AndreaMosaic for a desktop workflow that creates and prints photo mosaics, especially if Standard’s limits fit your project. Consider Bonus or Professional if you need their added patterns, transparency, larger capacity, or Photoshop tile exports; their listed plan information does not show an amount.

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phomo

Free plan Open source APILinuxMac+2

phomo offers adjustable tile matching and image controls in a free, cross-platform Python utility. Its greedy mode sacrifices accuracy, while CUDA acceleration has specific hardware and toolkit requirements.

Visit phomo

The facts

AndreaMosaicphomo
Free planYesYes
Open sourceNot publishedYes
Runs onLinux, Mac, WindowsAPI, Linux, Mac, Web, Windows
Lowest paid planFree or on requestFree or on request
Plans published32
MakerNot publishedNot published
Websiteunyma.comgithub.com
On photo mosaic software#2 of 24#1 of 24

AndreaMosaic: what it does well

  • Standard is free without a demo restriction or time limit.
  • Free use covers personal and commercial work with AndreaMosaic credit.
  • Standard supports up to 200 megapixels, 30,000 tiles, and 50,000 images.
  • Tile reuse controls, custom libraries, and batch processing are listed.
  • Professional adds Photoshop tile layers and individual tile export.

What to know first

  • Standard is capped at 200 megapixels, 30,000 tiles, and 50,000 images.
  • Linux use requires PlayOnLinux or Wine.
  • Bonus and Professional prices are selectable at checkout, with no amount shown on the page.

phomo: what it does well

  • Free Python package and command-line utility.
  • Offers several color-matching options.
  • Includes cropping, resizing, and tile reuse controls.
  • Runs on Linux, macOS, and Windows.
  • Published under the MIT License.

What to know first

  • Requires Python 3.9 or later and below 3.13.
  • CUDA acceleration requires a compatible GPU and toolkit.
  • Greedy assignment trades accuracy for performance.

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