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JSON Studio
Pretty-print, minify, or explore JSON as an interactive tree — copy and download. All processed locally.
100% in-browser · nothing leaves your deviceLoading editor…
Output initialises when this pane is visible.
Format, minify, or browse JSON as a tree — all processed locally in your browser.
Tree shows a collapsible hierarchy — click nodes to jump to the matching key in the input. Format pretty-prints with 2-space indentation; toggle Minify in the output toolbar for a compact line.
Ctrl/⌘ + T tree · Ctrl/⌘ + S format · Ctrl/⌘ + Shift + M minify
Import a .json file, paste from the clipboard, or use From URL when CORS allows.
Need diff, schema validation, or converters? Open JSON Editor Pro for the full workspace.
What this formatter offers — tree view, pretty-print, and minify.
Browse JSON as a collapsible tree with breadcrumbs, expand/collapse, and search.
Format JSON with readable 2-space indentation as you type.
Collapse whitespace into a compact single-line payload for production.
Push output back to the input pane, or copy and download instantly.
All processing runs in your browser. Nothing is uploaded.
Common questions about the JSON formatter.
Yes, completely. All processing — parsing, formatting, diffing, schema validation, and transformation —
happens entirely inside your browser. Your data is never sent to any server, never stored in the cloud,
and never shared. The only persistence is your own browser's localStorage, which you can
clear at any time.
Yes. Once the page has been loaded and the editor assets are cached, all features work without a network connection. The Monaco editor, AJV validator, and all transform logic run locally. The only time the network is used is to load CDN assets on the very first visit, and optionally when using "Load from URL".
The editor handles files up to several megabytes comfortably. Above 1 MB, some features like code folding are automatically disabled to keep the editor responsive. For very large files (10 MB+) you may notice slower tree rendering, but formatting, diff, and transform continue to work.
Draft-07 (default), Draft 2019-09, and Draft 2020-12 — all via AJV. The dialect is auto-detected from the
$schema field in your schema document, but you can override it with the dialect chip in the
Schema pane. An "Infer from input" button generates a starter schema from your current JSON automatically.
TOON (Token-Oriented Object Notation) is an experimental
data serialization format designed to be more compact, token-efficient,
and easier for AI systems and humans to process compared to traditional
formats like JSON.
Traditional formats such as JSON contain a lot of structural punctuation
like braces, commas, and quotation marks. TOON-style formats attempt to
reduce this syntactic overhead while preserving structured data.
Large Language Models (LLMs) process text as tokens. JSON can become
verbose because of repeated punctuation and quoted keys. TOON-style
formats aim to reduce token usage, making prompts and structured data
more compact for AI workflows.
Reduces unnecessary syntax to save prompt space and improve AI
context efficiency.
Minimizes clutter from braces, commas, and quotation marks.
Some implementations aim for deterministic parsing and lightweight
streaming support.
Optimized for agent memory, prompt engineering, and structured AI
communication.
TOON is not currently a universally standardized format. Different
implementations may use different syntax rules and parsing strategies.
When working with TOON, it is important to define or reference the
specific grammar being used.
TOON (Token-Oriented Object Notation)
Core Idea
JSON Example
{
"name": "John",
"age": 25,
"skills": ["JS", "Python"]
}
TOON-style Example
name: John
age: 25
skills[
JS
Python
]Why “Token-Oriented”?
Main Goals
Lower Token Usage
Better Readability
Faster Parsing
AI-Friendly Structure
TOON vs JSON
Feature
JSON
TOON-style
Standardized
Yes
Usually Experimental
Verbosity
Higher
Lower
LLM Efficiency
Moderate
High
Browser Support
Native
Limited
Human Readability
Good
Often Better
Ecosystem
Massive
Small / Emerging
Important Note
Related Formats
Potential Use Cases
Yes. Switch to Diff mode (Ctrl/⌘+D) and use the Sort button on each side. Sorting recursively normalises both object-key order and array element order before comparing, so two semantically identical JSONs with shuffled keys will show zero differences.