Software Alternatives & Startups

CSS Box-Shadow Code Generator VS WhichOneIsReal

Compare CSS Box-Shadow Code Generator VS WhichOneIsReal and see what are their differences

CSS Box-Shadow Code Generator

Easy and simple way to generate box-shadow and border-radius using this web app

Rating
0 reviews
WhichOneIsReal

Free game that trains you to spot AI-generated images and videos. Play solo, take the Spotting AI Fakes course, or run a live quiz with your class.

Rating
0 reviews
Pricing
Free

Base details

Website, pricing, platforms and company facts side by side.

CSS Box-Shadow Code Generator
WhichOneIsReal
Website stevewalson.github.io whichoneisreal.com
Pricing —
Free
Listed in —

About CSS Box-Shadow Code Generator and WhichOneIsReal

In their own words, as submitted to SaaSHub.

CSS Box-Shadow Code Generator
WhichOneIsReal

No description of CSS Box-Shadow Code Generator yet.

WhichOneIsReal is a free game that trains people to spot AI-generated images and videos. Each image round shows one real photo next to AI-generated versions of the same scene, made by current models such as GPT Image, Nano Banana, FLUX and Seedream. Video rounds put a filmed clip next to one from...

Read more about WhichOneIsReal

Features and specs

What each product offers, as listed by its team.

CSS Box-Shadow Code Generator 5 features
WhichOneIsReal 8 features
  • Visual real-time preview
    The generator provides an instant visual preview of the box-shadow effect as you adjust the parameters, allowing users to see exactly how their shadow will look before copying the code.
  • Simple and intuitive interface
    The tool has a clean, straightforward interface with sliders and input fields that make it easy for beginners and experienced developers alike to create box-shadow effects without memorizing CSS syntax.
  • Free and browser-based
    The tool is completely free to use and runs entirely in the browser with no installation, sign-up, or downloads required, making it instantly accessible to anyone.
  • Quick code output
    The generator produces ready-to-use CSS box-shadow code that can be copied and pasted directly into a stylesheet, saving development time and reducing syntax errors.
  • Adjustable parameters
    Users can easily tweak key shadow properties such as horizontal offset, vertical offset, blur radius, spread radius, and color to fine-tune the exact shadow effect they need.

Possible disadvantages

  • Limited to single shadow
    The tool appears to only support generating a single box-shadow value at a time, whereas CSS allows multiple comma-separated shadows for more complex effects.
  • Minimal styling options
    The generator focuses solely on box-shadow and doesn't include related CSS properties like border-radius or background color adjustments that could help users visualize the shadow in a more realistic context.
  • No preset examples
    The tool lacks a library of pre-built shadow presets or templates that users could use as starting points, which would speed up the design process for common shadow styles.
  • Basic UI design
    The interface is quite minimal and could benefit from a more polished, modern design with better visual hierarchy and additional guidance or tooltips for less experienced users.
  • No export or save functionality
    There is no built-in way to save, bookmark, or export multiple shadow configurations for later comparison or use, so users must manually copy and store their generated values elsewhere.
  • Real-or-AI image quiz
    Find the one real photo among AI-generated versions across 9 categories, from animals to architecture
  • AI video quiz
    Spot which clip was filmed and which was generated by an AI video model
  • Classroom mode
    Run a live quiz or lesson with your class; students join with a code or QR, no student accounts
  • AI Awareness Training
    Free self-paced course (~30 min) on checking sources, reverse image search and detector limits
  • Daily Quiz
    A new set of four images every day, same for everyone
  • Explanations after each round
    See which model made each fake and the details that gave it away
  • AI model leaderboard
    Elo ranking of image models by how often players mistake them for real photos
  • Embeddable quiz
    Add the quiz to a blog, school or library site with one line of code, no cookies

Analysis

An editorial look at what each product does well and who it suits.

CSS Box-Shadow Code Generator
WhichOneIsReal

Overall verdict

  • CSS Box-Shadow Code Generator by stevewalson.github.io is a solid, lightweight utility for developers and designers who need to quickly create box-shadow CSS without manually writing syntax. It's a good, practical tool though not a groundbreaking product—ideal for speeding up simple styling tasks.

Why this product is good

  • Provides a visual interface to adjust shadow properties like blur, spread, offset, and color in real time
  • Automatically generates accurate, ready-to-use CSS code, reducing syntax errors
  • Free and accessible directly in the browser without installation
  • Simple, minimal UI makes it easy to use even for beginners
  • Useful for quick prototyping and experimenting with different shadow effects

Recommended for

  • Front-end developers wanting to save time writing CSS manually
  • Designers experimenting with UI shadow effects
  • Students learning CSS box-shadow properties
  • Hobbyists building personal or small projects
  • Anyone needing quick CSS snippets without deep CSS expertise

No analysis of WhichOneIsReal yet.

Questions & Answers

As answered by people managing CSS Box-Shadow Code Generator and WhichOneIsReal.

Why should a person choose your product over its competitors?

WhichOneIsReal's answer:

It is free, needs no account and works in any browser. Unlike AI detectors, it builds a skill you keep. Unlike general quiz tools such as Kahoot, the content is ready to go: hand-checked real-vs-AI rounds from current image and video models, plus explanations, so teachers can run a full AI literacy lesson with no prep. Students join with a code or QR and need no accounts.

Which are the primary technologies used for building your product?

WhichOneIsReal's answer:

Astro, React, TypeScript, Tailwind CSS, Supabase (PostgreSQL) and Netlify

What makes your product unique?

WhichOneIsReal's answer:

It trains people instead of judging images for them. AI detectors give you a score; WhichOneIsReal puts real photos next to AI-generated versions of the same scene and shows, after every guess, which model made each fake and what gave it away. Players learn that looking closely is only a first signal, and the AI Awareness Training then teaches the checks that hold up: source, context and reverse image search.

How would you describe the primary audience of your product?

WhichOneIsReal's answer:

Educators who want a ready-made AI literacy or media literacy session: teachers in secondary schools (grades 7 to 12) and, just as much, adult education, from community colleges and libraries to corporate training and courses for older adults. The quiz itself is for everyone: anyone who wants to test whether they can still tell real photos from AI, no account or prior knowledge needed

What's the story behind your product?

WhichOneIsReal's answer:

Within a few years, image generators went from obvious cartoons to pictures most people can no longer tell from a real photo. WhichOneIsReal started as a simple game to show how convincing they have become: one real photo, several AI versions, pick the real one. Teachers began using it in class, so it grew a live classroom mode and a free AI awareness course. It is built and run by an independent developer in Germany, self-funded and not backed by any AI company.

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