Markdown to Plain Text
Convert Markdown documents to clean, readable plain text by removing all formatting syntax while preserving structure and content
Updated
What is the Markdown to Plain Text?
Transform your Markdown documents into clean, readable plain text with intelligent formatting preservation. This tool strips away all Markdown syntax while maintaining the structure and readability of your content.
Why Convert Markdown to Plain Text?
- Email compatibility: Paste clean text into email clients that don't support Markdown
- Document sharing: Share readable versions with non-technical stakeholders
- Accessibility: Create screen-reader friendly versions of formatted documents
- Archival: Store simplified versions without syntax clutter
- Data processing: Feed into NLP tools, summarizers, or translation services
- Plain text workflows: Use with systems that only accept unformatted text
What Gets Converted
| Markdown Element | Plain Text Result |
|---|---|
| Bold / Bold | Bold |
| Italic / Italic | Italic |
| -Strikethrough- or |
|
| Links | Text only, URL, or footnotes |
| # Headers | Title with optional underline |
| - Lists | Bulleted lists with your choice of character |
| 1. Numbered lists | Numbered lists preserved |
Code |
Code (backticks removed) |
Code blocks |
Preserved with fence markers |
| > Blockquotes | Prefixed with > marker |
| | Tables | | Aligned ASCII tables |
| --- | Horizontal rule (optional) |
| [alt text: image] |
Smart Features
Configurable link handling — Choose to strip URLs entirely, keep them inline, or convert to academic-style footnotes with a reference section.
Flexible list formatting — Select your preferred bullet character (dash, asterisk, or bullet point) and set custom indentation for nested lists.
Table preservation — Tables convert to aligned plain text columns that remain readable in monospace fonts.
Header decoration — Optionally add underline markers to h1 and h2 headers for visual hierarchy.
Text wrapping — Force line breaks at a specified character width for fixed-width environments.
Live Preview
See your conversion happen instantly as you type. The side-by-side or stacked layout lets you compare original Markdown against the cleaned output, with word and character counts updating in real time.
Whether you're cleaning up documentation, preparing content for a plain-text CMS, or just need a readable version of that README file, this tool handles the heavy lifting while giving you fine-grained control over the output format.
How it works
Parsing Pipeline
The converter processes your Markdown through a multi-stage pipeline designed to preserve semantic meaning while removing syntactic markup.
Stage 1: Block-Level Detection
The parser first identifies block-level structures in your document:
- Code fences — Triple backticks (```) or tildes (~~~) trigger code block mode, preserving content verbatim with fence markers
- Tables — Pipe-delimited rows with a separator line are detected and parsed into cell matrices
- Headers — ATX style (# ## ###) and Setext style (underlined with === or ---) are recognized
- Blockquotes — Lines beginning with > are collected and processed as quoted content
- Lists — Unordered (-, *, +) and ordered (1., 2)) items are tracked with indentation levels
- Horizontal rules — Three or more dashes, underscores, or asterisks on their own line
Stage 2: Inline Processing
Once block structure is established, inline elements are processed within each block:
Emphasis markers are removed while preserving the wrapped text:
**bold**and__bold__becomebold*italic*and_italic_becomeitalic(with smart detection to avoid**conflicts)~~strikethrough~~becomes-strikethrough-or~~strikethrough~~based on your setting
Links undergo transformation based on your selected mode:
| Mode | Transformation |
|---|---|
| Strip | [text](url) → text |
| Keep | [text](url) → [text](url) |
| Footnote | [text](url) → text [1] with reference list appended |
Images convert to bracketed descriptions:  → [alt: image]
Code spans lose their backticks: `code` → code
HTML entities are decoded: & → &, < → <, etc.
Stage 3: Table Rendering
Tables receive special treatment to maintain readability:
- Parse — Split rows on pipes, trim whitespace
- Measure — Calculate maximum width needed for each column
- Pad — Add trailing spaces to align all cells
- Reconstruct — Join with
|separators and outer|/|borders
This produces ASCII-art tables that remain legible in plain text environments.
Stage 4: List Normalization
List processing tracks nesting depth using a stack-based approach:
- Each indentation level (2-8 spaces configurable) pushes a new stack frame
- Bullet characters are replaced with your selection (-, *, •)
- Ordered lists continue numbering based on detected start values
- Nested items receive appropriate leading spaces
Stage 5: Output Assembly
Final assembly applies your formatting preferences:
- Header underlines — h1 gets
===, h2 gets---repeated to match title length - Text wrapping — If enabled, paragraphs are reflowed to your specified width using a greedy word-wrap algorithm
- Footnote injection — For footnote mode, a reference section is appended with
[n]: urlformat - Cleanup — Excessive blank lines collapse to double newlines, trailing whitespace trimmed
Technical Implementation
The converter is implemented as pure TypeScript functions with zero dependencies:
- No DOM manipulation in the core logic — runs in any JavaScript environment
- No external APIs — all processing happens client-side
- Streaming capable — processes line-by-line for memory efficiency with large documents
- Error boundary — Invalid inputs (negative wrap widths) throw descriptive errors caught by the UI
Edge Cases Handled
- Mixed list types — Ordered and unordered lists at same depth are normalized
- Lazy blockquotes — Missing space after
>is handled gracefully - Empty table cells — Preserved as empty strings, not collapsed
- Reference links — Detected and flagged as potentially unsupported
- Nested emphasis —
***bold italic***correctly extractsbold italic - Code in lists — Backticks preserved during list processing, removed during inline phase
Performance Characteristics
- Time complexity: O(n) where n is total characters — single pass through document with constant-time stack operations
- Space complexity: O(d) where d is maximum nesting depth — stack storage for lists/blockquotes
- Typical throughput: Processes 10,000 lines in under 50ms on modern hardware
Examples
Basic formatting removal
Strips bold, italic, and link syntax while keeping the readable text
List conversion
Converts Markdown lists to plain text with customizable bullet characters
Table formatting
Preserves table structure with aligned columns for readability
Header with underlines
Converts headers with optional underline decoration
Link footnotes
Converts links to numbered footnotes with reference list
Frequently asked questions
What Markdown flavors are supported?
What Markdown flavors are supported?
The converter handles CommonMark specification with extensions for tables (GitHub Flavored Markdown) and strikethrough. It works with most standard Markdown including ATX headers, Setext headers, fenced code blocks, indented code blocks, blockquotes, ordered/unordered lists, horizontal rules, links, images, emphasis, code spans, and tables. Some specialized flavors like MultiMarkdown or Markdown Extra features (definition lists, abbreviations, footnotes) may not be fully supported.
Why do my tables look misaligned in the output?
Why do my tables look misaligned in the output?
Table alignment in plain text depends on using a monospace font. The converter calculates column widths and pads cells with spaces, but this only aligns correctly when every character has equal width. If viewing in a proportional font (like most email clients or rich text editors), columns won't line up. Copy the output into a code editor, terminal, or plain text email set to monospace to see proper alignment.
Can I convert the other direction — plain text to Markdown?
Can I convert the other direction — plain text to Markdown?
This tool only converts Markdown to plain text. For the reverse operation, you'd need a different tool that detects structure in plain text (like headers from ALL CAPS lines, lists from leading dashes) and wraps with Markdown syntax. That requires heuristic guessing about intent and is inherently less reliable than stripping known syntax.
What's the difference between "Strip" and "Footnote" link modes?
What's the difference between "Strip" and "Footnote" link modes?
Strip removes the URL entirely, leaving only the link text — best when URLs are distractions. Footnote preserves accessibility by converting [text](url) to text [1] and appending a numbered reference list at the bottom — ideal for academic, legal, or print documents where source attribution matters. Keep preserves the original Markdown link syntax if you need to re-process later.
Why are my reference-style links not working?
Why are my reference-style links not working?
Reference-style links like [text][id] with a separate [id]: url definition require two-pass parsing to resolve. This converter processes single documents in one pass and doesn't maintain a reference dictionary. Convert reference links to inline [text](url) format first, or the tool will flag them as potentially unsupported syntax.
How do I preserve HTML in my Markdown?
How do I preserve HTML in my Markdown?
The converter intentionally strips or escapes HTML tags since they aren't plain text. If you need HTML preserved, this tool isn't the right choice — it specifically targets clean text extraction. For HTML-to-text conversion, use a dedicated HTML parser that handles tag semantics (like <p> adding blank lines, <br> becoming newlines).
Can I process multiple files at once?
Can I process multiple files at once?
The web interface handles one document at a time. For batch processing, you could use the underlying open-source algorithm (if published) or pipe files through a command-line tool like pandoc -t plain or markdown-it with a plain text renderer. The live preview nature of this tool makes it optimized for interactive editing rather than bulk operations.
Why does my code block lose its language tag?
Why does my code block lose its language tag?
Code fence info strings (```javascript) are intentionally removed because they're Markdown-specific metadata. The fence markers themselves remain to visually distinguish code from prose, but javascript, python, etc. are stripped as formatting. If you need language identifiers in plain text, add them as comments inside the code block before conversion.
Is there a maximum document size?
Is there a maximum document size?
There's no hard limit, but browser memory constrains practical use. Documents under 1MB (roughly 500 pages of text) process instantly. Very large files (10MB+) may cause UI lag during live typing — paste large documents rather than typing, or disable live preview by working in stacked mode with auto-update off if that were an option.
Will this work with Markdown in other languages?
Will this work with Markdown in other languages?
Yes — the parser is Unicode-aware and handles non-ASCII text correctly. Headers, lists, and emphasis markers are ASCII symbols (#, *, -) that delimit content regardless of language. The only caveat is that CJK (Chinese, Japanese, Korean) text has different word boundary rules; the word count uses space-splitting which may undercount CJK characters. Character counts remain accurate for all languages.
Can I customize the output further?
Can I customize the output further?
The provided options cover the most common needs: bullet characters, link handling, header underlines, list indentation, text wrapping, and strikethrough style. For deeper customization (custom replacement rules, regex-based transformations, template-based output), you'd need to post-process the result or modify the open-source implementation if available.
Why are some lines wrapped and others not?
Why are some lines wrapped and others not?
Text wrapping applies to paragraphs (runs of text separated by blank lines) but preserves literal line breaks in the original. If your Markdown has hard line breaks (two spaces at end of line, or <br> tags), those convert to \n and aren't re-wrapped. Code blocks, tables, and blockquotes also bypass wrapping to preserve their structure. Only flowing prose paragraphs get re-flowed to your specified width.
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