The latest articles on DEV Community by Jame Leo (@jame_leo_c5776bcec9ec2b1b). https://dev.to/jame_leo_c5776bcec9ec2b1b https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F3746943%2Fb0d1d75a-6b33-4e60-a951-72493826dee2.jpg https://dev.to/jame_leo_c5776bcec9ec2b1b en Jame Leo Wed, 04 Feb 2026 15:17:07 +0000 https://dev.to/jame_leo_c5776bcec9ec2b1b/decrypting-morse-code-in-the-browser-how-i-built-a-privacy-first-audio-decoder-25hp https://dev.to/jame_leo_c5776bcec9ec2b1b/decrypting-morse-code-in-the-browser-how-i-built-a-privacy-first-audio-decoder-25hp <h1> Decrypting Morse Code in the Browser: How I built a privacy-first audio decoder </h1> <h3> The Problem: Cloud-based Decoders vs. Privacy </h3> <p>Most Morse code tools are either outdated Windows-only apps or web tools that require you to upload your audio files to a remote server. As someone who values privacy, I wanted a solution where the audio never leaves the device.</p> <p>That’s why I built <strong>MorseDecode</strong> (<a href="https://www.morsedecode.xyz" rel="noopener noreferrer">https://www.morsedecode.xyz</a>).</p> <h3> The Core Feature: Real-time Recording &amp; Decryption </h3> <p>The most challenging (and rewarding) part was building the <strong>Audio-to-Text pipeline</strong>. Here is how it handles recordings:</p> <ul> <li> <strong>Direct Audio Capture</strong>: It records live signals or processes uploaded WAV, MP3, and OGG files directly in the browser using the Web Audio API.<img src="https://media2.dev.to/dynamic/image/width=800%2Cheight=%2Cfit=scale-down%2Cgravity=auto%2Cformat=auto/https%3A%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Farticles%2F82uj7z6g7rsmtjkt9ho2.png" alt=" " width="800" height="513"> </li> <li> <strong>Local Decryption</strong>: The decryption engine runs 100% on the client side, extracting messages from audio pulses without any server-side processing.</li> <li> <strong>Visual Analysis</strong>: Users get real-time waveform visualization, making it easier to see signal quality during the decryption process.</li> <li> <strong>Adaptive WPM Detection</strong>: The tool automatically identifies the speed of the incoming Morse code to handle variations in WPM (Words Per Minute).</li> </ul> <h3> Tech Stack </h3> <p>To ensure the decoder was fast and responsive, I used:</p> <ul> <li> <strong>Next.js</strong> for the framework.</li> <li> <strong>Tailwind CSS</strong> for a clean, professional signal-processing UI.</li> <li> <strong>Web Audio API</strong> for high-accuracy local audio analysis.</li> <li> <strong>GitHub</strong> for hosting our open-source repository and community collaboration.</li> </ul> <h3> Support us on Product Hunt! 🚀 </h3> <p>We just launched on <strong>Product Hunt</strong>! If you’re into ham radio, signal processing, or open-source dev tools, I’d be honored to have your support and feedback.</p> <p><strong>Check us out here:</strong> 👉 <a href="https://www.producthunt.com/posts/morse-decoder" rel="noopener noreferrer">https://www.producthunt.com/posts/morse-decoder</a></p> <p><em>Find us on GitHub: <a href="https://github.com/morsedecode/MorseDecode-Audio-Decoder" rel="noopener noreferrer">morsedecode/MorseDecode-Audio-Decoder</a></em></p> webdev opensource showdev nextjs