Free

JSON to TOON Converter

Shrink structured data for LLM prompts instantly.

Save 30–60% tokens*
Format style:
Indent: spaces
1. Input JSON
2. TOON Output

What is TOON Format?

TOON (Table-Oriented Object Notation) is a compact data format designed specifically for LLM/AI prompts.

Unlike verbose JSON with quotes/brackets/braces (30-60% of characters), TOON uses:

id|name|country|plan
1|Alice|IN|pro
2|Bob|US|free
3|Carol|UK|business

vs JSON (3x longer):

[{"id":1,"name":"Alice","country":"IN","plan":"pro"},{"id":2,"name":"Bob","country":"US","plan":"free"}]

Why Save LLM Tokens?

1 token ≈ 4 characters ≈ $0.0001-0.01 (depending on model)

ModelInput Cost/Token10K Tokens =
GPT-4o$2.50/1M$0.025
Claude 3.5$3.00/1M$0.03
Llama 3.1$0.50/1M$0.005

Real example: 10K JSON → 4K TOON = $0.015 saved per request × 1000 users/month = $15/month

How JSON → TOON Works (Our Algorithm)

Smart table detection + minimal syntax:

1. Detect arrays of objects → Create header row
2. Extract ALL keys across rows → Consistent columns
3. Escape only delimiter chars → No quotes for simple values
4. Nested objects → `key:{nested JSON}` or `key:[]` for arrays
5. Optional indent (0-6 spaces) → Readable when needed

Input JSON:

{
"users": [
{"id":1,"name":"Alice","active":true},
{"id":2,"name":"Bob","active":false}
]
}


TOON Output:

users[]:
id|name|active
1|Alice|true
2|Bob|false

3-Click Workflow

  1. Paste JSON → Auto-validates syntax
  2. Choose delimiter (| , \t) + indent (0-6 spaces)
  3. Convert → See live token savings + copy TOON

Pro tip: Use pipe | delimiter (handles spaces/commas best)

Use Cases (Perfect For)

  • AI Agent Developers - Shrink database exports 50%+
  • ChatGPT/Claude Users - Context window optimization
  • API Payloads - Log storage costs down 60%
  • Data Analysts - Export CSVs without schema loss
  • Prompt Engineers - Multi-table JSON → compact tables

Before (JSON): 1,247 chars - 312 tokens
After (TOON): 489 chars - 122 tokens
Saved: 190 tokens (61%) - Works in any LLM!

Live Stats You Get

MetricShows
BytesJSON vs TOON (file size)
Tokens~4 chars = 1 token estimate
SavingsAbsolute + % reduction
Real-timeUpdates as you type

Token math: (JSON chars - TOON chars) ÷ 4 = tokens saved


Compared to JSON Minify

FormatSizeLLM Friendly?Readable?Schema?
JSON (pretty)100%❌ Verbose
JSON (min)65%❌ Still quotes
TOON35%✅ Perfect

Example: 100 Users Database

JSON (12KB → 3K tokens):

[{"id":1,"email":"user1@ex.com","plan":"pro","score":85},{"id":2,...}]

TOON (4.2KB → 1K tokens):

id|email|plan|score
1|user1@ex.com|pro|85
2|user2@ex.com|free|92

Monthly savings: $10-50+ (1000 API calls)


Perfect For Your Stack

ChatGPT + Claude + Gemini + Llama
× Next.js APIs × Supabase × Firebase
× Zapier × Make.com × n8n

Copy-paste ready for system/user messages.


Bonus Features

  • Offline - No server calls
  • Example data - 1-click load
  • JSON formatter - Pretty print input
  • Mobile-first - Touch-friendly
  • Dark mode ready - Matches your theme

Try it now ↑ - Paste any JSON and watch tokens disappear!

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