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SPECIFICTION
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Aduku Stacker vs TuFuse

Aduku Stacker

aduku.app

TuFuse

tawbaware.com

Side by side

FigureAduku StackerTuFuse
Price fromFreeFree
Free planYesYes
Free trial——
Open source——
WindowsYesYes
macOSYes—
Plans published11
Spec score · Focus Stacking Software7.9 (#9)7.0 (#23)
Command lineThe focus-stacking engine also ships as a command-line tool with parameter flags for scripting batch processing.TuFuse is a Windows command-line program and does not have its own graphical user interface.
MakerThe terms identify the publisher as Suriyanarayanan R Srinivasan of Aduku Labs, and the site says the product is made in India.TawbaWare describes itself as home to software, photographs, and writings by Max Lyons.
PurposeAduku Stacker combines focus-bracketed photographs into one sharp image for macro, product, landscape, and microscopy photography.TuFuse combines the best-exposed and/or best-focused regions of multiple images into a composite image.

Plans

Aduku Stacker

  • Aduku StackerFree

Aduku Stacker pricing →

TuFuse

  • TuFuseFree

TuFuse pricing →

In their own words

Aduku Stacker

Aduku Stacker combines photographs taken at different focus distances into a sharp image, for macro, product, landscape and microscopy photography. The free app offers five merge methods: Wavelet, Pyramid, Weighted, Hybrid and Depthmap. Its default workflow processes images at 16-bit and uses 32-bit floating-point merge calculations, with memory-bounded batching for deep stacks. Automatic alignment uses feature matching and subpixel refinement; options include focus-breathing correction, homography, mesh warp and manual alignment seeding. It imports JPEG, PNG, TIFF, BMP, HEIC and DNG, and exports JPEG, PNG, TIFF, linear DNG and depth maps. Proprietary RAW files may require 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 does not require an internet connection. It runs on 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.

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TuFuse

TuFuse has no write-up on Specifiction yet; its figures are above.

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