The latest articles on DEV Community by suraj patel (@surajpatelcs). https://dev.to/surajpatelcs 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%2F184637%2F63731713-b071-4be8-821d-285d4a75e5ca.png https://dev.to/surajpatelcs en suraj patel Fri, 27 Mar 2026 05:27:50 +0000 https://dev.to/surajpatelcs/stop-fighting-messy-json-why-i-built-a-zen-viewer-for-developers-59oj https://dev.to/surajpatelcs/stop-fighting-messy-json-why-i-built-a-zen-viewer-for-developers-59oj <h2> The Problem: The "JSON Fatigue" </h2> <p>We’ve all been there. You copy a truncated JSON string from a production log, paste it into a web viewer, and... Syntax Error. Or worse, you’re looking at a massive array of 500+ products, and trying to find one specific price value involves expanding nested tree nodes until your fingers hurt.</p> <p>I got tired of tools that were either:</p> <ol> <li> <strong>Bloated with ads</strong> and tracking.</li> <li>Slow when handling <strong>large payloads</strong>.</li> <li> <strong>Inflexible</strong> when dealing with "broken" JSON fragments.</li> </ol> <p>So, I built <a href="https://jsonviewer.rusting.dev/" rel="noopener noreferrer">Zen-JSON</a>.</p> <p><a href="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%2F6qocs3p2h0i5tne6lmb8.png" class="article-body-image-wrapper"><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%2F6qocs3p2h0i5tne6lmb8.png" alt="Zen-JSON: Pro" width="800" height="385"></a></p> <h2> What Makes Zen-JSON Different? </h2> <ol> <li><p><strong>The "Airtable" Experience for JSON</strong><br> Tree views are great for nested objects, but they are terrible for lists. I implemented a Table View that feels like a spreadsheet. If you have an array of objects, you can view them in a high-performance grid, making it 10x faster to scan and compare data.</p></li> <li><p><strong>Smart Auto-Fix (The Life-Saver)</strong><br> How many times have you copied a JSON fragment that was missing a closing brace or had trailing commas? Instead of manually fixing the syntax just to see the data, Zen-JSON has an Auto-Fix toggle that repairs common syntax errors on the fly.</p></li> <li><p><strong>Data Science Ready (DS Export)</strong><br> As someone who often needs to move data from an API response into a notebook or a report, I added a DS Export button. You can instantly turn that messy JSON into a Pandas or Python DICT without writing a single line of Python.</p></li> <li><p><strong>Privacy by Design</strong><br> In 2026, you shouldn't have to upload your company's sensitive API data to a random server just to format it.</p></li> </ol> <blockquote> <p>Zen-JSON is 100% client-side. All the processing, minifying, and "fixing" happens right in your browser. No data ever leaves your machine.</p> </blockquote> <h2> The Tech Stack </h2> <p>Since the project is hosted on <a href="//rusting.dev">rusting.dev</a>, I focused heavily on performance. I wanted something that felt "instant" even with 10MB+ files. By offloading heavy lifting and keeping the UI "Zen" (minimalist and dark-themed), it fits right into a modern dev workflow.</p> <blockquote> <p>Check it out<br> I'd love for you to take it for a spin and let me know what you think. Specifically:</p> </blockquote> <p>Does the Table View handle your largest JSON files smoothly?</p> <p>Are there any "broken" JSON patterns that the Auto-Fix missed?</p> <p>Link: <a href="//jsonviewer.rusting.dev">jsonviewer.rusting.dev</a></p> datascience webdev productivity python