triggerdotdev/jsonhero-web — explained in plain English
Analysis updated 2026-06-24
Explore a deeply nested API response by clicking through columns like a file browser instead of scrolling raw JSON
Search through a large JSON file by key name, path, or value simultaneously using fuzzy search
Preview image URLs and formatted date strings inline while debugging an API response
Generate an inferred JSON schema from your data for use in validation or documentation
| triggerdotdev/jsonhero-web | xcatliu/typescript-tutorial | huggingface/chat-ui | |
|---|---|---|---|
| Stars | 10,727 | 10,723 | 10,708 |
| Language | TypeScript | TypeScript | TypeScript |
| Setup difficulty | easy | easy | moderate |
| Complexity | 2/5 | 2/5 | 3/5 |
| Audience | developer | developer | developer |
Figures from each repo's GitHub metadata at analysis time.
JSON Hero is a web-based tool for reading and exploring JSON data in a way that is far easier than staring at raw text. JSON is a format that almost all software systems use to exchange data, and while developers work with it constantly, raw JSON can be hard to read once it gets large or deeply nested. JSON Hero gives you a clean visual interface with multiple ways to explore the same data. You can switch between three main views: a column view inspired by the macOS Finder file browser (where clicking into a nested object opens it in the next column to the right), a traditional tree view with collapsible sections, and a full editor view. All views share a sidebar that shows useful information about whichever value you currently have selected. The tool also has fast fuzzy search that looks through key names, paths, and values simultaneously. One of the more practical features is automatic content inference. If a string in your JSON looks like a date, a URL, a color code, or an image link, JSON Hero detects that and shows a preview. Click on a date string and you see it formatted as a human-readable date. Click on an image URL and you see the image inline. It also generates an inferred schema from your data, which can be useful for validation or documentation. You can load JSON by pasting it directly, dragging and dropping a file, linking to a URL that returns JSON, or using the API to create a shareable link that others can open. There is also a VS Code extension and a Raycast extension for sending JSON directly from those tools. The project is built with TypeScript and can be run locally with a few npm commands. It is maintained by the team behind Trigger.dev, a workflow automation platform.
A web-based JSON viewer with column, tree, and editor views that automatically detects dates, image URLs, and color codes in your data and shows live previews inline, with fast fuzzy search across all keys and values.
Mainly TypeScript. The stack also includes TypeScript, React, Node.js.
Setup difficulty is rated easy, with roughly 5min to a first successful run.
Mainly developer.
This repo across BitVibe Labs
Verify against the repo before relying on details.