Software Alternatives, Accelerators & Startups

Screenzy VS WhatToLabel

Compare Screenzy VS WhatToLabel and see what are their differences

Screenzy logo Screenzy

A simple screenshot beautifier

WhatToLabel logo WhatToLabel

Improve your machine learning models by curating your data
  • Screenzy Landing page
    Landing page //
    2023-04-04
  • WhatToLabel Landing page
    Landing page //
    2020-10-07

Category Popularity

0-100% (relative to Screenzy and WhatToLabel)
Design Tools
100 100%
0% 0
Developer Tools
0 0%
100% 100
Screenshots
100 100%
0% 0
AI
0 0%
100% 100

User comments

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Social recommendations and mentions

Based on our record, Screenzy seems to be more popular. It has been mentiond 1 time since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.

Screenzy mentions (1)

  • Show HN: I made a tool to make you popular
    600 hours to build another screenshot editor? Which just adds some gradient and aligns the image? What are some differences between your product and the following free services? https://screenzy.io/ https://screenshot.rocks/ https://www.fabpic.app/ https://shoteasy.fun/screenshot-beautifier https://gemoo.com/screen-capture/ https://xnapper.com/ https://codeimage.dev/. - Source: Hacker News / 2 months ago

WhatToLabel mentions (0)

We have not tracked any mentions of WhatToLabel yet. Tracking of WhatToLabel recommendations started around Mar 2021.

What are some alternatives?

When comparing Screenzy and WhatToLabel, you can also consider the following products

Screely - Screely instantly generates dribbble-ready images. Simply upload your screenshot and we'll do the rest.

Scale Nucleus - The mission control for your ML data

Screen Guru - Take clean screenshots of any website

Qualdo™ - Monitor mission-critical data quality & ML issues and drifts

Relephant - All of your screenshots, intelligently organized

Monitor ML - Real-time production monitoring of ML models, made simple.