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Home/Apps/OCR Scanner - Image to Text

OCR Scanner - Image to Text

by Wuhan Net Power Technology Co., Ltd

PopularWindowsdotnet-framework—
Available onwingetMicrosoft Store
Runtime
dotnet-framework
Size
127 MB
Architecture
x86
Dependencies
27
6 categories

OCR Scanner - Image to Text is a dotnet-framework app (—) that uses 27 detected dependencies across 6 categories including Networking, Other, Media. It is not code-signed. 127 MB on Windows (x86). Last verified June 2026.

What is OCR Scanner - Image to Text built with?

27 detected dependencies across 6 categories.

Networking

1
RestSharp

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Media

2
FFmpegOpenCV

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Serialization

1
Protocol Buffers

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Database

1
SQLite

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Compression

1
zlib

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Other

26
aipsdkemgu.cvjson.netcontrolzexitextsharpcomecaptureai.baidu.comhandycontrolmahapps.metroemgu.cv.bitmapentityframeworkscanner_ocr_toolsqlite.codefirstscanner_ocr_modelgalasoft.mvvmlightbouncycastle.cryptocommonservicelocatorscanner_ocr_viewmodelmicrosoft.xaml.behaviorsentityframework.sqlservergalasoft.mvvmlight.extrasgalasoft.mvvmlight.platformemgu.cv.platform.netstandardmicrosoft.windowsapicodepackmicrosoft.windowsapicodepack.shellmicrosoft.practices.servicelocation

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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 OCR Scanner - Image to Text was analyzed from.

No signal

No signal — this field was not captured in the extraction on record. It is populated on re-extraction, not absent from the app.

How popular is OCR Scanner - Image to Text?

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

Popularity Tier
Ranked across all Windows apps
Popular

Popularity Score

56
56
Adoption
0
Mindshare
59
Store Rank

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When was OCR Scanner - Image to Text last updated?

2 tracked releases since November 2020.

Latest: v1.0.0.70
May 13, 2026
v1.0.0.70
May 13, 2026
—
Nov 24, 2020

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Last verified June 13, 2026

Get version history, dependency trees, and scores via API
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