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Subti.app VS CSS Box-Shadow Code Generator

Compare Subti.app VS CSS Box-Shadow Code Generator and see what are their differences

Subti.app

Learn languages from films in VLC with clickable subtitles, contextual translations, vocabulary review, and Anki export.

Rating
0 reviews
Pricing
Freemium $9.99 / One-off (One-time purchase, one person, up to 2 Macs)
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CSS Box-Shadow Code Generator

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

Rating
0 reviews
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FlexiQuiz
FlexiQuiz is a powerful online test generator that enables you to create engaging online quizzes, tests, or exams in minutes. Choose from 100's of features to create a customized quiz that meets your objectives for business, education, or fun. sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Base details

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

Subti.app
CSS Box-Shadow Code Generator
Website subti.app stevewalson.github.io
Pricing
Freemium $9.99 / One-off (One-time purchase, one person, up to 2 Macs) Official pricing
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Platforms
MacOS Mac Mac OSX
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Company Startup from Georgia · 1 - 9 employees · 2026 —
Listed in
Language Learning Language Translation Education Spaced Repetition Studying Translation Subtitles +4
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About Subti.app and CSS Box-Shadow Code Generator

In their own words, as submitted to SaaSHub.

Subti.app
CSS Box-Shadow Code Generator

Subti is a macOS companion for learning languages from films and TV shows in VLC. Click subtitle words or select phrases to get contextual translations, save useful vocabulary, review it with spaced repetition, and export it to Anki. Subti is local-first, requires no account, and supports local...

Read more about Subti.app

No description of CSS Box-Shadow Code Generator yet.

Features and specs

What each product offers, as listed by its team.

Subti.app 8 features
CSS Box-Shadow Code Generator 5 features
  • Clickable Subtitles
    Option-click words or select phrases directly from VLC subtitles
  • Contextual Translation
    Translates words and expressions using the surrounding subtitle context
  • Vocabulary Review
    History, personal Dictionary, and spaced repetition review
  • Anki export
    Export saved vocabulary to Anki with context
  • Local-first
    Supports local translation backends and requires no account
  • VLC integration
    Works as a macOS companion overlay for VLC 3.0+
  • Privacy
    No behavioral telemetry
  • System Requirements
    macOS 14+
  • 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.

Analysis

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

Subti.app
CSS Box-Shadow Code Generator

No analysis of Subti.app yet.

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

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Subti.app
CSS Box-Shadow Code Generator
100% 100%
Language Translation
0% 0%
100% 100%
Education
0% 0%
100% 100%
Language Learning
0% 0%

Questions & Answers

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

What makes your product unique?

Subti.app's answer

Subti makes VLC subtitles interactive on macOS. You can click individual words or select whole phrases, get contextual translations without leaving the film, save useful vocabulary, review it with spaced repetition, and export it to Anki. It is local-first, requires no account, and can work with local translation models

Why should a person choose your product over its competitors?

Subti.app's answer

Subti is focused on a simple workflow: watch, click, understand, save, and review. It works directly with VLC and local video files instead of requiring a browser-based streaming service. It also supports phrase-level contextual translation, local translation backends, spaced repetition, and Anki export in one macOS app

How would you describe the primary audience of your product?

Subti.app's answer

Language learners who watch films and TV shows with subtitles, especially intermediate and advanced learners who want to learn vocabulary and expressions from real dialogue without constantly switching between the video player, translator, notes, and flashcard apps

What's the story behind your product?

Subti.app's answer

Subti started from a personal frustration with learning languages through films. Looking up an unfamiliar word usually meant pausing VLC, opening a translator, copying the subtitle, saving the word somewhere, and then returning to the film. Subti was built to keep that entire workflow inside the viewing experience

Which are the primary technologies used for building your product?

Subti.app's answer

Subti is a native macOS application built in Swift. It integrates with VLC through a transparent interactive overlay and supports local language models and Ollama for translation. The web and licensing infrastructure uses Cloudflare Workers, D1, R2, Paddle, and Sparkle for updates

User comments

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