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Home/Apps/AI Offline Image Upscaler

AI Offline Image Upscaler

by Bytesweavers

NicheWindowspython—
Available onwingetMicrosoft Store
Runtime
python
Size
745 MB
Architecture
x64
Dependencies
72
9 categories

AI Offline Image Upscaler is a python app (—) that uses 72 detected dependencies across 9 categories including Encoding, Machine Learning, Media. It is not code-signed. 745 MB on Windows (x64). Last verified July 2026.

What is AI Offline Image Upscaler built with?

72 detected dependencies across 9 categories.

Encoding

1
idna

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Machine Learning

3
PyTorchCore MLONNX Runtime

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Media

3
PillowFFmpegOpenCV

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Serialization

1
Protocol Buffers

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Cryptography

1
OpenSSL

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Database

1
SQLite

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UI Framework

1
Tcl/Tk

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Compression

1
zlib

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Other

66
i1i3i6icieijinitiuizresixabslcffilmdbtcl8tqdmnumbapylabscipysympycyclerfsspecjinja2mpmathpyyamlselectbasicsrcertifipyexpatpystrayurllib3-tk-datacoloramacprofilellvmlitenetworkxrequeststorchgen-internal-tcl-datacontourpyencodingsfonttoolsfunctorchpycparserpyparsingkiwisolvermarkupsafematplotlibrealesrgansetuptoolscollectionstensorboardtorchvisionunicodedataappxmetadatacryptographympl-toolkitsopencv-pythonpython-dateutilupscaler-runtimetyping-extensionscharset-normalizerimportlib-metadataupscaler-modern-ui

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Dot shows detection confidence; hover a technology for its evidence source. Higher confidence means a stronger extraction signal (e.g. a manifest entry vs. a binary string match).

Analyzed binary

SHA-256 of the exact binary AI Offline Image Upscaler was analyzed from.

SHA-256
e54721fdce59d61a545bace1de68ece46a87a17f0c2fd8e95102b4fd3b54fbde

How popular is AI Offline Image Upscaler?

Popularity ranking based on install counts, store ratings, and community signals.

Popularity Tier
Ranked across all Windows apps
Niche

Popularity Score

0
0
Adoption
0
Mindshare
0
Store Rank

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When was AI Offline Image Upscaler last updated?

2 tracked releases since August 2025.

Latest: v1.2.0.0
March 29, 2026
v1.2.0.0
Mar 29, 2026
—
Aug 13, 2025

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Last verified July 20, 2026

Get version history, dependency trees, and scores via API
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