publisher
category
price
$1.99store
Reviews
3 (2)
United StatesDescription
Mask and share things at a tap
Many times, we find ourselves in a situation where we need to share some images/screenshots with someone. "Snoop Cover" protects you by giving you the liberty to mask/blur sensitive information/credentials in the images being shared. With "Snoop Cover", you never have to worry again about compulsively sharing sensitive/private content that might be present in the images you share. "Snoop Cover" is your personal privacy-protect-agent working 24x7 for you. Happy Masking! 1. Mask your texts in any image with a tap. 2. Yes! It works offline. No internet required. 3. Share your masked images with just a tap. 4. Use images from third-party storage apps viz. iCloud, Google Drive, One Drive, Zoho WorkDrive, etc. 5. Save your masked images directly to these third-party storage apps. 6. Highly secured as all the processing happens on your device storage. Strictly no compromises with your privacy! If you find any bugs, contact us at [email protected]
Category Ranking
Review Breakdown
Screenshots
Reviews
Great app for masking sensitive data
This app is great for masking information in your pics. I used few photos with lots of information and it did a pretty good job of masking all of the data. The only improvement that I would suggest would be to include selective masking since currently it masks all the data. For an app which has a simple user interface, it delivers accurate masking. Curious and excited to see more future enhancements in this app.
Voldy75Sat, Dec 7, 2019United States
United StatesDownload & Revenue
About
Bundle Id
com.codeflakesstudio.snoopcover.distMin Os. Version
15.0Release Date
Mon, Nov 11, 2019Update Date
Thu, Jun 30, 2022Content Rating
4+Has IMessage
NoSupport Watch
NoSupport Siri
NoFile Size
2.12MBHas Game Center
NoFamily Sharing
NoSupport Passbook
NoSupported Languages
EnglishSupport
What's New
version
2.0updated
1 year agoAgain we take our customers' feedback seriously. This time we really worked on improving the accuracy of image detection and masking algorithm. The efficiency is improved by 110%. We didn't stop there, we went on improving the UX/UI with major tweaks.
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