Convert MD to TXT

Why Convert Markdown to TXT?

Converting Markdown files to TXT (plain text) format is essential when you need to extract pure text content without any formatting syntax. When you convert MD to TXT, you're removing all the Markdown markup symbols (*, #, [], (), etc.), leaving only the raw text content. This is particularly useful for text analysis, word counting, content extraction, data processing, or when you need to import text into applications that don't support Markdown formatting.

Markdown files, while human-readable, still contain special characters and syntax for formatting like headers (#), bold (**text**), italic (*text*), links ([text](url)), and code blocks (```). These markup symbols can interfere with text processing tasks, search indexing, or natural language processing (NLP). By converting to plain text, you eliminate all formatting syntax and get clean, searchable text that's easy to process programmatically.

Our converter uses advanced text extraction powered by Pandoc to preserve the actual content while stripping away all Markdown syntax. The resulting .txt file removes all # symbols, asterisks for bold/italic, link brackets, code block markers, and other Markdown-specific characters. Perfect for data scientists extracting content for analysis, writers counting words accurately, researchers processing documents, or anyone who needs clean, unformatted text from their Markdown files.

The conversion maintains proper line breaks and paragraph structure while removing all Markdown syntax overhead. This makes the text ideal for text analysis tools, machine learning datasets, word frequency analysis, sentiment analysis, and content indexing. The resulting TXT file is typically slightly smaller than the Markdown file since all markup characters are removed.

Key Benefits of Converting Markdown to TXT:

• Clean Text Extraction: Remove all Markdown syntax and get pure content
• Accurate Word Count: Count actual words without markup characters
• Universal Compatibility: Open on any device with any text editor
• Text Analysis: Perfect for NLP, sentiment analysis, and data mining
• Data Processing: Ideal for machine learning and text classification
• Content Extraction: Extract clean text from documentation and notes

Practical Examples

Example 1: Simple README Conversion

Input Markdown file (README.md):

# MyProject

## Features

- **Fast processing**: Uses advanced algorithms
- **Easy to use**: Simple API
- *Lightweight*: Only 50KB

[Visit website](https://example.com)

Output TXT file (README.txt):

MyProject

Features

- Fast processing: Uses advanced algorithms
- Easy to use: Simple API
- Lightweight: Only 50KB

Visit website

Example 2: Blog Post with Code Blocks

Input Markdown file (blog-post.md):

# How to Use Python

Python is **powerful** and *easy* to learn.

```python
def hello():
    print("Hello World")
```

> This is a great language!

Visit [Python.org](https://python.org) for more.

Output TXT file (blog-post.txt):

How to Use Python

Python is powerful and easy to learn.

def hello():
    print("Hello World")

This is a great language!

Visit Python.org for more.

Example 3: Documentation with Tables

Input Markdown file (docs.md) with GitHub Flavored Markdown:

## API Reference

| Method | Description |
|--------|-------------|
| GET    | Retrieve data |
| POST   | Create data |
| DELETE | Remove data |

### Installation

1. Download the package
2. Run `npm install`
3. Configure settings

Output TXT file (docs.txt):

API Reference

Method  Description
GET     Retrieve data
POST    Create data
DELETE  Remove data

Installation

1. Download the package
2. Run npm install
3. Configure settings

Frequently Asked Questions (FAQ)

Q: What is Markdown (MD) format?

A: Markdown is a lightweight markup language created by John Gruber in 2004. It uses plain text syntax with special characters (*, #, [], etc.) to denote formatting. It's widely used for README files, documentation, blogs, and note-taking.

Q: Will I lose formatting when converting MD to TXT?

A: Yes, that's the purpose! All Markdown syntax (#, **, *, [], (), ```, etc.) is removed, leaving only the actual text content. This is useful for text analysis, word counting, and data processing where you need clean text without markup.

Q: What happens to links in Markdown?

A: Links in Markdown format [text](url) are converted to show only the link text. The URL is removed. For example, "[GitHub](https://github.com)" becomes just "GitHub" in the TXT file.

Q: Are code blocks preserved?

A: Yes! The content of code blocks is preserved, but the Markdown code block markers (``` or indentation) are removed. The actual code text remains intact, making it easy to extract code snippets.

Q: What encoding is used for the TXT file?

A: Our converter creates UTF-8 encoded TXT files, which supports all Unicode characters including international text, emoji, and special symbols. UTF-8 is the most universal text encoding.

Q: Why convert Markdown to TXT instead of HTML or PDF?

A: TXT is the simplest format—no markup, no formatting, just pure text. It's ideal for text analysis, NLP tasks, word counting, data processing, and any situation where you need clean, searchable text without any syntax or formatting.

Q: Can I use this for text analysis or machine learning?

A: Absolutely! Converting Markdown to TXT is perfect for text analysis, sentiment analysis, word frequency analysis, topic modeling, and machine learning datasets. The clean text output is ready for NLP processing.

Q: Is the conversion secure?

A: Yes! Conversion happens on our secure servers. Files are processed immediately and automatically deleted after a short period. We don't store or access your document content.