Convert Tabular Data & Count Tokens

Convert spreadsheets, CSV, TSV, HTML tables, or JSON arrays into Markdown, TSV, or CSV formats — with real-time token count visibility.

Markdown, TSV & CSV Formats

Real-Time Token Counter

100% In-Browser Local Memory

Demo Sample:

Format:

1RAW CSV / TSV / JSON DATA

178 tokens

Detected Format: csv505 characters

CONVERTED RESULT

232 tokens

| Ticker | Company Name | Weight | Sector | Price USD | Market Cap | | --- | --- | --- | --- | --- | --- | | AAPL | Apple Inc. | 4.85% | Information Technology | $189.30 | 2.89T | | MSFT | Microsoft Corp. | 4.52% | Information Technology | $425.20 | 3.16T | | NVDA | NVIDIA Corporation | 3.88% | Information Technology | $124.50 | 3.06T | | AMZN | Amazon.com Inc. | 3.45% | Consumer Discretionary | $185.40 | 1.93T | | GOOGL | Alphabet Inc. Class A | 2.15% | Communication Services | $178.60 | 2.21T | | META | Meta Platforms Inc. | 1.95% | Communication Services | $502.30 | 1.27T | | TSLA | Tesla Inc. | 1.20% | Consumer Discretionary | $248.50 | 792B |

655 characters

💡 When to Use Each Table Format: A Decision Guide

Choose the right table format based on your dataset size, AI model, and analysis needs.

1. Markdown Tables

Best for: Complex tables, financial reports, or multi-column data analysis in AI. Also, visually more readable for humans.

Why: Visual headers and pipe borders (|) help the AI maintain 100% column accuracy during reasoning.

Trade-off: Table borders add a small token overhead.

2. TSV (Tab-Separated)

Best for: Text columns containing commas (addresses, descriptions, product catalogs).

Why: Tab characters separate columns cleanly so commas in text won't ruin your table layout.

Trade-off: Column alignment relies on editor tab formatting.

3. CSV (Comma-Separated)

Best for: Pure numerical datasets, high-density spreadsheets, or exporting to Python & Excel.

Why: Most compact token usage for raw numbers and flat spreadsheets.

Trade-off: Free text with commas requires quote escaping.