CSV to TOON Converter

Convert CSV data to TOON format with explicit structure for LLMs

CSV Input

Paste your CSV data here

TOON Output

Converted TOON output

Use in Your Code

Integrate this conversion into your application with our NPM package

1. Install the package

npm install @toonparse/core

2. Use in your code

import { toToon } from '@toonparse/core';
import Papa from 'papaparse';

// Parse CSV to array
const csvString = `id,name,role
1,Alice,admin
2,Bob,user`;

const { data } = Papa.parse(csvString, { header: true });

// Convert to TOON
const toon = toToon(data);
console.log(toon);
// [2]{id,name,role}:
//   1,Alice,admin
//   2,Bob,user

💡 The @toonparse/core package includes token counting, format comparison, and eligibility checking utilities.

CSV vs TOON: What's the Difference?

CSV is the most compact format for flat tabular data, but TOON adds minimal overhead (~5-10%) to provide structure that improves LLM reliability:

Array length declarations - LLMs know how many rows to expect
Field headers in structure - Explicit column names
Delimiter scoping - No confusion with commas in values
Better validation - Structure can be verified before parsing

Format Comparison

CSV (Ultra Compact)

id,name,role
1,Alice,admin
2,Bob,user
3,Charlie,user

~15 tokens

TOON (Structured)

[3]{id,name,role}:
  1,Alice,admin
  2,Bob,user
  3,Charlie,user

~17 tokens (+13%, but with validation)

When to Use TOON Over CSV

Use TOON when:

LLM accuracy is critical (TOON has better structure)
You need to mix tabular and nested data
Validation and error checking is important
You're working with multiple related arrays

Use CSV when:

Pure tabular data with no nesting
Every token counts and you have simple data
Compatibility with spreadsheet tools