How to Build a Single-Page Tool Website Using AI for Passive Income

Have you ever used a free online tool to convert files, calculate data, or edit images? You likely noticed Google AdSense advertisements running on the sidebar or header. The owners of these websites earn significant passive income simply by providing a utility that generates traffic.

The exciting news is that you don’t need to be a coder to own one of these websites anymore. By leveraging Artificial Intelligence (AI) and proper hosting, you can build a high-utility tool website in minutes.

In this guide, we will build a “Speech-to-Text Converter” (similar to speechnotes.co) that supports multiple languages, listens to your voice, and transcribes it in real-time.


Phase 1: The Foundation (Domain & Hosting)

To host your tool online, you need a domain name and a hosting provider.

1. Choosing the Right Hosting

The video recommends Hostinger, specifically highlighting their current Black Friday sale.

  • Recommended Plan: The “Business Plan”.
  • Why? It includes a CDN (Content Delivery Network), which can increase website speed by up to 25x. Speed is crucial for tool websites.
  • Deal Mechanics: By selecting a 4-year (48-month) term, you lock in the lowest price (approx. ₹199/month vs. renewal rates). Using a coupon code (e.g., HOSTING10) can provide an additional 10% discount.
  • Freebies: This plan typically comes with a free domain name for the first year.

2. The “Fresh Account” Strategy

When buying hosting, it is highly recommended to use a brand new email address.

  • Benefit: By registering as a new user, you often secure the introductory price for the renewal period as well, protecting you from future price hikes or inflation for the duration of the plan.

Phase 2: Setting Up the Environment

Once you have purchased your hosting:

  1. Access the Dashboard: Log in to your Hostinger hPanel.
  2. File Manager: Navigate to Websites > Dashboard > File Manager.
  3. Public_html: Open the public_html folder.
  4. Clean Slate: Select all default files inside this folder and delete them. You want an empty directory.
  5. Verify: Visit your domain. If you see a “403 Forbidden” error, that is good—it means the directory is empty and ready for your code.

Phase 3: Generating the Code with AI

We will not write a single line of code manually. Instead, we will use Prompt Engineering to get an LLM (Large Language Model) to do it for us.

The Prompt

Open a chatbot (like ChatGPT) and use a prompt similar to this:

“Act as a coding expert and web developer. Create a Speech-to-Text converter tool using HTML, CSS, and JavaScript. It should be a modern, completely responsive single-page website. I need support for multiple languages including Hindi, English, Punjabi, Marathi, Gujarati, etc. Provide the complete code in a single file.”

The Deployment

  1. Copy the code generated by the AI.
  2. Go back to your Hostinger File Manager.
  3. Create a New File named index.html.
  4. Paste the code into this file and save it.
  5. Refresh your website. Your tool is now live!

Phase 4: The AI Showdown – Which Model Wrote the Best Code?

In the video, the creator tested the exact same prompt across five different AI models to see which one created the best functional tool. Here are the results:

1. ChatGPT (The Winner) 🏆

  • Performance: Excellent. It understood the assignment perfectly.
  • Features: Included a wide range of Indian languages (Hindi, Punjabi, Marathi, Telugu, Tamil, Bengali) alongside international languages.
  • Functionality: The “Start Listening,” “Clear,” and “Copy” buttons worked flawlessly. It transcribed English and Hindi accurately in real-time.
  • Design: Clean, modern, and responsive.

2. Kimi K2 (The Runner-Up) 🥈

  • Performance: Very strong performance from this Chinese LLM.
  • Features: Good language support, including Hindi.
  • Design: Functional and decent, though slightly less polished than ChatGPT.
  • Cons: It lacked a “Download” button, but the core transcription worked well.

3. Claude (Good, but Limited)

  • Design: Aesthetically pleasing, perhaps even better than ChatGPT in terms of UI.
  • Performance: Functional.
  • Cons: It failed to include a robust list of Indian languages, only including Hindi. It required more specific prompting to match ChatGPT’s versatility.

4. DeepSeek (Incomplete)

  • Design: Good visual design.
  • Cons: Major functionality failure—it did not provide a dropdown menu to select languages. It defaulted to English and could not understand or transcribe Hindi.

5. Google Gemini (The Loser) ❌

  • Design: Described as “terrible” and outdated.
  • Functionality: Severe issues. It did not have a language selection menu. It failed to transcribe Hindi.
  • UX Fail: There was no “Stop” button. The user had to “Clear Text” to stop the microphone from listening. Even with the new “Canvas” update, the code generation for this specific task was poor compared to the others.

Conclusion & Next Steps

Creating a tool website is a viable strategy for building a passive income stream. Once the site is live:

  1. Wait: Allow the site to age slightly (approx. 3 months).
  2. Traffic: Share the tool to generate initial traffic.
  3. Monetize: Apply for Google AdSense approval.

Verdict: For the best results in generating code for this specific tool, ChatGPT is the clear recommendation, followed by Kimi K2.


List of Tools & Resources Discussed

Here is the list of tools and platforms mentioned in the tutorial:

  1. Hostinger: Web hosting platform (specifically the Business Plan).
  2. ChatGPT (OpenAI): Used for generating the website code (Best Performer).
  3. Kimi K2: Chinese LLM used for code generation (Strong Performer).
  4. Claude (Anthropic): AI model used for code generation.
  5. DeepSeek: AI model used for code generation.
  6. Gemini (Google): AI model used for code generation.
  7. WordPress: Mentioned as the CMS to install after buying hosting (though this specific tutorial used custom HTML).
  8. File Manager (hPanel): Used to deploy the code.
  9. Google Translate: Mentioned as a companion tool for translating the transcribed text.

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