A formatter makes JSON readable, but it doesn’t help you see its shape. When you’re staring at an API response three or four levels deep, indentation only gets you so far. A graph view maps every object and array to a node and draws the links between them, so the structure is obvious before you read a single value.
The JSON visualizer gives you both a node graph and a collapsible tree from the same input.
TL;DR: Paste JSON, switch to the graph, then pan and zoom to explore. Click any node to copy its value or its full path.
Graph view vs. tree view
The two views answer different questions.
The graph answers “what is the shape of this data?” Each object and array becomes a card, child values branch off to the right, and you can collapse a branch to hide detail you don’t care about. It’s the fastest way to understand an unfamiliar response.
The tree answers “what is the value at this key?” It reads top to bottom like formatted code, which suits scanning a long array or checking a specific field.
Moving around the graph
Drag anywhere to pan. Scroll to zoom, or use the zoom buttons in the corner, and press the reset button to fit the view back to the start. On a large document, collapse the top-level branches first, then open only the part you’re investigating. That keeps the canvas readable instead of drowning you in nodes.
Copy a path, not just a value
The useful trick is copying the path. Click a node and you can copy either its value or its full path, written in dot and bracket notation like meta.owner.team or tools[1].slug. Paste that into your code to read the same value, or into a jq filter or a database JSON query. It saves counting brackets by hand on a nested object.
Check malformed JSON fast
If the input won’t parse, the visualizer shows the parser error instead of a broken view. That makes it a quick way to spot a trailing comma or an unquoted key in a response you pasted from a log. To clean up and reformat once it parses, the JSON formatter handles beautify and minify.
Try it on your own data
Open the JSON visualizer, paste a response, and switch to the graph. Need sample data to explore? Generate some with the fake data generator and visualize the result.