JSON Tools for AI Developers · Runs locally

For AI developers JSON Workbench

Natural language generation · Schema · Zod · OpenAPI · Function Calling · MCP · 30+ tools

01

Tool categories

A JSON formatter grown into a toolkit for AI developers — click a tool name to open it in the Workbench

AI JSON Workbench

Natural language generation · Smart repair · Function Calling · MCP · NL Query

01Basics

Format · Minify · Validate · Sort · Escape · Unicode · Clean

02Convert

YAML · XML · TOML · CSV · Query string · Properties · Python Dict

03Analyze

JSON Diff · Structured Diff · Merge · JSONPath · Table

04Schema toolchain

JSON Schema · Validate · Zod · OpenAPI · Structured Output · Mock

05Codegen

JSON → TS / Python / Go / Rust / Java · JWT

02

How to use

Three steps to start — pick a category and open a tool

  1. 1

    Pick a tool

    Under the title, pick a tool by category: Basics, Convert, Analyze, or developer tools.

  2. 2

    Paste and run

    Paste JSON or matching text in the input, or click Load sample on the toolbar to try it. Format also supports Ctrl + Enterkeyboard shortcuts.

  3. 3

    Copy result

    When you're done, click Copy result. Everything is processed in your browser and never uploaded.

02+

Sample data

Every tool ships with a sample. Click Try sample to load it into the Workbench

AI JSON generate
Create a JSON object for an
e-commerce product with name,
price, SKU, inventory...
Try sample →
JSON → Schema
{
  "name": "John",
  "age": 25,
  "email": "john@example.com"
}
Try sample →
JSON → Zod
{
  "id": 123,
  "name": "John",
  "active": true
}
Try sample →
Format
{
  "name": "张三",
  "age": 18,
  "tags": ["json", "工具箱"]
}
Try sample →
YAML convert
{
  "name": "张三",
  "tags": ["json", "yaml"]
}
Try sample →
XML convert
<user>
  <name>张三</name>
  <age>18</age>
</user>
Try sample →
JWT decode
eyJhbGciOiJIUzI1NiIs...
→ Header + Payload
Try sample →
Function Calling
Search products by keyword
and price range → OpenAI Schema
Try sample →
AI JSON repair
{
  "skills": ["Python",
  "JavaScript",
}
Try sample →

For every other tool, click Load sample on that page's toolbar.

0 No install
30+ Utilities
100% Runs locally
Free to use
03

Why the AI JSON Workbench

More than a formatter or validator — built for LLMs, Structured Output, and Agent work

🔒

Data stays in the browser

All JSON processing happens locally. Nothing hits a server, so API keys and sensitive payloads stay safer.

Zero dependencies, ready to go

Pure HTML + CSS + JavaScript. No npm install — open the page and start.

🧰

30+ tools in one place

AI generate, Schema chain, Zod, OpenAPI, Function Calling, MCP, and more — the full AI-dev loop.

🎨

JSON → AI Schema

Generate OpenAI / Gemini / Claude / MCP Structured Output Schema in one click and get ahead on AI apps.

🌙

Dark / light theme

Switch themes for long JSON editing sessions. Your preference is saved locally.

📋

Copy results in one click

Every tool can copy its output. Pair that with sample JSON and API debugging gets faster.

04

Common use cases

When developers reach for JSON Toolbox

API debugging

Format an API response

The backend returned minified JSON. Paste it into the formatter and read nested fields and types fast.

Format →
Config migration

YAML ↔ JSON

K8s and Docker Compose speak YAML; your app layer speaks JSON. Convert to move configs without rewriting them.

Convert →
Integration debugging

JSON Diff

Compare two versions of an API response and spot added, removed, or changed fields.

Compare →
Auth debugging

Decode a JWT

Paste a Bearer Token, inspect the Header and Payload, and check expiry and permission claims.

Decode →
Codegen

JSON to TypeScript

Generate interface types from a sample API response so you write fewer types by hand.

Generate →
AI development

Natural language → JSON

Describe a data shape or API response. The AI generator returns valid JSON for prototypes and mocks.

Generate →
Structured Output

JSON → AI Schema

Generate OpenAI / Claude / Gemini Structured Output Schema from a JSON sample.

Generate →
Agent development

Function Calling / MCP

Describe a tool in natural language and generate a Function Calling or MCP Tool Schema.

Generate →
05

FAQ

What people usually ask before they start

Is my data uploaded to a server?

No. Every tool runs in your browser. Your JSON never leaves your device.

How large a JSON file can I use?

It depends on browser memory. A few MB usually feels smooth. For huge files, use a CLI tool.

Are YAML / TOML conversions accurate?

Common syntax is covered. For deep nesting or unusual constructs, spot-check the important fields.

Do AI features need an API Key?

No. AI JSON generate, repair, and Function Calling use a local rules engine. Nothing is uploaded. You can later plug in OpenAI or similar APIs for extra power.

Which languages does To code support?

TypeScript, JavaScript, Python, Go, Rust, Java, Kotlin, Swift, C#, and PHP. Types are inferred from the JSON shape.

How do I use the Schema toolchain?

JSON → Schema → validate → Mock is the full loop. You can also convert to Zod, OpenAPI, or each platform's Structured Output Schema in one click.

How do I switch tools quickly?

Click a category chip on the home page or a tool page to open that standalone page. Tool names in the feature section jump there too.

Ready to work with JSON?

Jump back to the top, pick a tool, paste your content, and start.

Get started ↑