The Aduku Stacker homepage
Score6.8
Rank#4 of 23
PriceFree
Free planYes
Runs onmacOS, Windows

Summary

Aduku Stacker combines photographs taken at different focus distances into a sharp image, for macro, product, landscape, and microscopy photography. It offers Wavelet, Pyramid, Weighted, Hybrid, and Depthmap merge methods. Its default workflow processes images at 16-bit and uses 32-bit floating-point merge calculations; memory-bounded batching is available for deep stacks. Alignment can use feature matching and subpixel refinement, with focus-breathing correction, homography, mesh warp, and manual seeding as options. It imports JPEG, PNG, TIFF, BMP, HEIC, and DNG, and exports JPEG, PNG, TIFF, linear DNG, and depth maps. Proprietary RAW files may need Adobe DNG Converter on macOS. Retouching lets users paint from aligned source frames, erase strokes, and undo or redo, but there is no clone tool. Processing is local and needs no internet connection. It is free for macOS 13 or later and 64-bit Windows 10/11; 8 GB RAM is sufficient for most stacks, with 16 GB recommended for deep 16-bit RAW stacks.

Who it is for

It suits photographers combining focus-bracketed images, including macro, product, landscape, and microscopy work. The command-line engine may also suit people scripting batch processing.

What is good

  • Five merge methods are available.
  • Automatic alignment includes subpixel refinement.
  • Supports JPEG, PNG, TIFF, HEIC, and DNG import.
  • Processes images locally without an internet connection.

What to know first

  • No clone tool for retouching.
  • Proprietary RAW import may require Adobe DNG Converter on macOS.
  • Requires macOS 13+ or 64-bit Windows 10/11.

Verdict

Aduku Stacker provides several merge and alignment options, with local processing and a command-line tool. Check the operating-system requirements and the macOS RAW-import caveat before choosing it.

Aduku Stacker plans and pricing

All plans
Aduku Stacker Free macOS 13+ (Apple Silicon & Intel) · Windows 10/11 64-bit aduku.app · 30 Sept 2026

Compared on focus stacking software

Free plan
Yesaduku.app
RAW file support
Yesaduku.app
Automatic alignment
Yesaduku.app
Batch processing
Yesaduku.app
Manual retouching
Yesaduku.app
Supported platforms
macosaduku.app
Output formats
JPEG, PNG, TIFF, linear DNG, depth mapsaduku.app

Facts

Purpose
Aduku Stacker combines focus-bracketed photographs into one sharp image for macro, product, landscape, and microscopy photography.aduku.app · 30 Sept 2026
Merge methods
It offers five merge methods: Wavelet, Pyramid, Weighted, Hybrid, and Depthmap.aduku.app · 30 Sept 2026
Image processing
The default workflow processes images at 16-bit, uses 32-bit floating-point merge math, and supports memory-bounded batching for deep stacks.aduku.app · 30 Sept 2026
Alignment
Automatic alignment includes feature matching and subpixel refinement, with options for focus-breathing correction, homography, mesh warp, and manual alignment seeding.aduku.app · 30 Sept 2026
Import and export
It supports JPEG, PNG, TIFF, BMP, HEIC, and DNG import, plus JPEG, PNG, TIFF, linear DNG, and depth-map export; proprietary RAW import may require Adobe DNG Converter on macOS.aduku.app · 30 Sept 2026
Retouching
Users can paint from aligned source frames, erase strokes, and undo or redo retouching; the app does not yet have a clone tool.aduku.app · 30 Sept 2026
Privacy
The app processes photographs locally and says it does not upload images, create user accounts, or transmit analytics or telemetry.aduku.app · 30 Sept 2026
Connectivity
The FAQ says the app needs no internet connection for image processing.aduku.app · 30 Sept 2026
Support
The maker lists [email protected] for questions and support, and says it has no obligation to provide support, maintenance, or updates.aduku.app · 30 Sept 2026
System requirements
The stated requirements are macOS 13 or later or 64-bit Windows 10/11; 8 GB RAM is sufficient for most stacks and 16 GB is recommended for deep 16-bit RAW stacks.aduku.app · 30 Sept 2026
Command line
The focus-stacking engine also ships as a command-line tool with parameter flags for scripting batch processing.aduku.app · 30 Sept 2026
Maker
The terms identify the publisher as Suriyanarayanan R Srinivasan of Aduku Labs, and the site says the product is made in India.aduku.app · 30 Sept 2026

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