Skip to content
  • Unlock Pro
  • Log in with GitHub
Solution
Submitted 4 months ago

Text Analyzer Tool: Character, Word & Sentence Counter with Real-Time

next, tailwind-css
P
Skyz Walker•1,215
@Skyz03
A solution to the Character counter challenge
View live sitePreview (opens in new tab)View codeCode (opens in new tab)

Solution retrospective


What are you most proud of, and what would you do differently next time?
  1. Dynamic Theme Toggling:

Successfully implemented a smooth theme switch that updates the entire app's appearance, including SVG assets and background patterns.

  1. Real-Time Analytics:

Built a system that provides instant feedback on character count, word count, sentence count, and reading time as the user types.

  1. Letter Density Feature:

Created an interactive visualization that shows the frequency of each letter in the text, complete with percentages and a toggle to view all letters.

  1. Character Limit Warnings:

Added a dynamic warning system that changes color and message based on how close the user is to the character limit.

What I Would Do Differently Next Time

  1. State Management:

Consider using a state management library like Zustand or Redux for better organization, especially as the app grows.

  1. Component Structure:

Break down the main component into smaller, reusable components (e.g., a separate AnalyticsCard component).

  1. Accessibility:

Prioritize accessibility from the start, ensuring all interactive elements are keyboard-navigable and screen-reader friendly.

  1. Testing:

Write tests alongside development rather than at the end to catch issues earlier.

  1. Performance:

Explore debouncing the text input handler to reduce unnecessary calculations during rapid typing.

What challenges did you encounter, and how did you overcome them?
  1. Real-Time Calculations:

Challenge: Calculating metrics like letter frequency and word count in real-time while typing was initially slow for large inputs.

Solution: Optimized the regex patterns and avoided unnecessary recalculations by using derived state values.

  1. Theme Toggling:

Challenge: Switching themes while maintaining consistent styles across the app was tricky.

Solution: Used a combination of Tailwind's dark mode utilities and manual document.body style updates for a seamless transition.

. Responsive Layouts:

Challenge: Making the analytics cards and letter density charts look good on all screen sizes.

Solution: Leveraged Tailwind's responsive design utilities and flexbox to create a fluid layout.

  1. Letter Density Visualization:

Challenge: Displaying the top letters and their frequencies in a visually appealing way.

Solution: Created a bar chart-like UI with dynamic width percentages and a "See More" toggle for additional letters.

What specific areas of your project would you like help with?
  1. Accessibility Improvements:

Ensuring the theme toggle and analytics components are fully accessible (e.g., ARIA labels, keyboard navigation).

Making the letter density charts more screen-reader friendly.

  1. Performance Optimization:

Reducing re-renders when typing in the textarea, especially for large inputs.

Exploring memoization techniques for functions like calculateLetterFrequency.

  1. Testing:

Implementing unit tests for the calculation functions.

Adding end-to-end tests for theme toggling and character limit warnings.

  1. Design Enhancements:

Improving the visual hierarchy of the analytics cards.

Adding animations for smoother transitions between themes and states.

Code
Select a file

Please log in to post a comment

Log in with GitHub

Community feedback

No feedback yet. Be the first to give feedback on Skyz Walker's solution.

Join our Discord community

Join thousands of Frontend Mentor community members taking the challenges, sharing resources, helping each other, and chatting about all things front-end!

Join our Discord
Frontend Mentor logo

Stay up to datewith new challenges, featured solutions, selected articles, and our latest news

Frontend Mentor

  • Unlock Pro
  • Contact us
  • FAQs
  • Become a partner

Explore

  • Learning paths
  • Challenges
  • Solutions
  • Articles

Community

  • Discord
  • Guidelines

For companies

  • Hire developers
  • Train developers
© Frontend Mentor 2019 - 2025
  • Terms
  • Cookie Policy
  • Privacy Policy
  • License

Oops! 😬

You need to be logged in before you can do that.

Log in with GitHub

Oops! 😬

You need to be logged in before you can do that.

Log in with GitHub

How does the accessibility report work?

When a solution is submitted, we use axe-core to run an automated audit of your code.

This picks out common accessibility issues like not using semantic HTML and not having proper heading hierarchies, among others.

This automated audit is fairly surface level, so we encourage to you review the project and code in more detail with accessibility best practices in mind.

How does the CSS report work?

When a solution is submitted, we use stylelint to run an automated check on the CSS code.

We've added some of our own linting rules based on recommended best practices. These rules are prefixed with frontend-mentor/ which you'll see at the top of each issue in the report.

The report will audit all CSS, SCSS and Less files in your repository.

How does the HTML validation report work?

When a solution is submitted, we use html-validate to run an automated check on the HTML code.

The report picks out common HTML issues such as not using headings within section elements and incorrect nesting of elements, among others.

Note that the report can pick up “invalid” attributes, which some frameworks automatically add to the HTML. These attributes are crucial for how the frameworks function, although they’re technically not valid HTML. As such, some projects can show up with many HTML validation errors, which are benign and are a necessary part of the framework.

How does the JavaScript validation report work?

When a solution is submitted, we use eslint to run an automated check on the JavaScript code.

The report picks out common JavaScript issues such as not using semicolons and using var instead of let or const, among others.

The report will audit all JS and JSX files in your repository. We currently do not support Typescript or other frontend frameworks.