CSV to Textile Table — Free Online Textile Markup Generator

What Is Textile?

Textile is a lightweight markup language created by Dean Allen in 2002 for the Textpattern CMS. It provides a shorthand for formatting text, tables, lists, links, and images — similar to Markdown but with different syntax conventions.

Where Textile Is Used

Redmine is the most actively maintained platform using Textile as its primary markup language.

Textile Table Syntax

Basic Table

|_. Name |_. Age |_. City |

| Alice | 30 | New York |

| Bob | 25 | London |

| Charlie | 35 | Tokyo |

Textile Table Elements

Textile vs. Markdown Tables

Why Convert CSV to Textile Tables?

Core Features

1. Online Table Editor

After loading CSV data, an interactive spreadsheet grid lets you edit before converting:

2. Escape Characters

Escapes Textile syntax characters to prevent them from being interpreted as formatting commands:

Enable this when your CSV data contains characters that Textile would interpret as formatting (e.g., pipe characters in descriptions, periods at start of cells).

3. Row Header

Formats the first column of each row as a row header (bold), using |_. syntax:

Enabled:

|_. Metric |_. Value |

|_. Revenue | $1,000,000 |

|_. Customers | 500 |

Disabled:

|_. Metric |_. Value |

| Revenue | $1,000,000 |

| Customers | 500 |

Use this when the first column contains row labels or category names (e.g., metric names, product names, field labels).

4. Table Head Syntax

Wraps the first row with Textile heading syntax (|_. instead of |):

Enabled:

|_. Name |_. Age |_. City |

| Alice | 30 | New York |

| Bob | 25 | London |

Disabled:

| Name | Age | City |

| Alice | 30 | New York |

| Bob | 25 | London |

Enable this for most cases — Textile tables with header rows are more readable and semantically correct.

5. Privacy by Design

All processing runs entirely in your browser. No data is uploaded to any server.

How to Use This Tool

Step 1: Load CSV Data

Choose one of two input methods:

• Upload a file: Click "Choose File" and select a .csv file.

• Paste data: Click "Enter Data" to switch to the code editor. Paste your CSV.

Step 2: Edit in Table Editor (Optional)

Use the toolbar to clean your data before converting.

Step 3: Configure Output

Use the Properties panel:

1. Escape Characters: Enable if data contains |, ., -, or ^

2. Row Header: Enable to bold the first column

3. Table Head Syntax: Enable to format the first row as headers

Step 4: Convert

Click Convert. The Textile markup appears in the "Output Data" panel.

Step 5: Copy or Download

• Click Copy to Clipboard to paste into Redmine, Textpattern, or Basecamp.

• Premium users can click Download File to save.

Complete Example

Example — Redmine Bug Report

Input CSV:

test_case,expected,actual,status

Login - valid creds,Redirect to dashboard,Redirect to dashboard,Pass

Login - invalid pwd,Show error message,Show error message,Pass

Login - SQL injection,Show error message,Server 500,Fail

Login - expired token,Redirect to login,Redirect to login,Pass

Configuration:

• Escape Characters: Off

• Row Header: Off

• Table Head Syntax: On

Output:

|_. test_case |_. expected |_. actual |_. status |

| Login - valid creds | Redirect to dashboard | Redirect to dashboard | Pass |

| Login - invalid pwd | Show error message | Show error message | Pass |

| Login - SQL injection | Show error message | Server 500 | Fail |

| Login - expired token | Redirect to login | Redirect to login | Pass |

Paste this into a Redmine issue description for a formatted test results table.

Example — Metrics with Row Headers

Input CSV:

metric,q1,q2,q3,q4

revenue,1000000,1200000,1150000,1400000

customers,500,550,580,620

churn_rate,5.2%,4.8%,4.5%,3.9%

nps,42,45,48,52

Configuration:

• Row Header: On

• Table Head Syntax: On

Output:

|_. metric |_. q1 |_. q2 |_. q3 |_. q4 |

|_. revenue | 1000000 | 1200000 | 1150000 | 1400000 |

|_. customers | 500 | 550 | 580 | 620 |

|_. churn_rate | 5.2% | 4.8% | 4.5% | 3.9% |

|_. nps | 42 | 45 | 48 | 52 |

Example — Server Inventory for Redmine Wiki

Input CSV:

server,ip,role,status,uptime

web-01,10.0.1.10,web server,running,99.9%

web-02,10.0.1.11,web server,running,99.8%

db-01,10.0.2.10,database,running,99.99%

cache-01,10.0.3.10,redis cache,maintenance,98.5%

Configuration:

• Escape Characters: On (IP addresses contain periods)

• Table Head Syntax: On

Output:

|_. server |_. ip |_. role |_. status |_. uptime |

| web-01 | 10.0.1.10 | web server | running | 99.9% |

| web-02 | 10.0.1.11 | web server | running | 99.8% |

| db-01 | 10.0.2.10 | database | running | 99.99% |

| cache-01 | 10.0.3.10 | redis cache | maintenance | 98.5% |

Textile Quick Reference (Beyond Tables)

Frequently Asked Questions (FAQ)

• Does the tool upload my data?

  No. All conversion happens locally in your browser using JavaScript. Your data never leaves your device.

• What is Textile?

  Textile is a lightweight markup language used in Redmine, Textpattern CMS, and Basecamp Classic. It uses pipe-based syntax for tables and shorthand for text formatting.

• Where can I paste the output?

  Paste the generated Textile markup into Redmine issue descriptions, wiki pages, or comments; Textpattern article bodies; or Basecamp Classic messages.

• What does Table Head Syntax do?

  It wraps the first row with Textile heading syntax (|_.) to create bold column headers. Enable this for most tables.

• What does Row Header do?

  It formats the first column of each data row as a row header (bold) using |_. syntax. Use this when the first column contains row labels or category names.

• What does Escape Characters do?

  It escapes Textile syntax characters (|, ., -, ^) in your data so they render as literal text instead of being interpreted as formatting commands. Enable when data contains these characters.

• Can I use this with Redmine?

  Yes. Redmine uses Textile as its default markup language. The output can be pasted directly into Redmine issues, wikis, and comments.

• Can I edit the data before converting?

  Yes. The built-in table editor lets you modify cells, transpose, deduplicate, find/replace, change case, and insert/delete rows and columns.

• What CSV formats are supported?

  Standard CSV with comma delimiters. The first row can be used as column headers (enable "First Row as Header").

• Is there a file size limit?

  The tool processes data entirely in your browser. Files up to 10 MB typically convert without issues on modern hardware.