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Markdown to JSON Converter [2025]
Transform Markdown tables into structured JSON data. Perfect for APIs, web services, and frontend applications.
Upload Markdown
Drag and drop your markdown file here or click to browse
Key Features
- Convert Markdown tables to JSON format with intelligent parsing.
- Automatic detection of data types (numbers, booleans, null, arrays, and objects).
- Support for nested properties using dot notation (e.g.,
address.city
). - Customizable output formatting with pretty printing and indentation options.
- Option to wrap results in an array or output a single object.
- Live preview of the generated JSON with syntax highlighting.
- One-click copy to clipboard functionality.
- Download as properly formatted JSON files.
- Client-side processing for data privacy.
JSON Output Options
Smart Data Type Detection
The converter intelligently detects and preserves data types in your Markdown table. Numbers remain numeric, boolean values (true/false) are properly typed, and empty or "null" cells are converted to JSON null values. The converter can even recognize and parse array and object literals within table cells.
Nested Property Support
Use dot notation in your table headers to create nested objects in the JSON output. For example, a header like user.address.city
will create a nested structure:
{ "user": { "address": { "city": "New York" } } }This powerful feature lets you create complex JSON structures directly from flat tables.
Formatting Controls
Customize your JSON output with options for pretty printing, indentation size, and array wrapping. Whether you need compact JSON for production or readable JSON for documentation, the converter has you covered.
Example Conversion
Markdown Input
| name | age | address.city | is_active | | ---- | --- | ------------ | --------- | | John | 30 | New York | true | | Jane | 25 | Los Angeles | false |
JSON Output
[ { "name": "John", "age": 30, "address": { "city": "New York" }, "is_active": true }, { "name": "Jane", "age": 25, "address": { "city": "Los Angeles" }, "is_active": false } ]
Common Use Cases
Web Development
- • API payloads
- • Frontend data
- • REST services
- • GraphQL variables
Data Processing
- • Configuration files
- • Data migration
- • Import/export
- • Data transformation
Content Creation
- • Mock data
- • Documentation samples
- • Test fixtures
- • Learning materials
Frequently Asked Questions
How does type detection work?
The converter analyzes cell content to detect appropriate data types:
- Numbers (like "42" or "3.14") become numeric values
- "true" and "false" become boolean values
- Empty cells or "null" become null values
- JSON-formatted arrays or objects are parsed into their appropriate structures
- Everything else remains as strings
How do I create nested structures?
Use dot notation in your table headers to create nested JSON objects. For example, columns named "user.name", "user.email", and "user.details.age" will be converted into a nested structure with "user" as the parent object containing "name", "email", and a "details" object with an "age" property.
Is my data secure?
Yes, all conversion happens entirely in your browser. Your markdown data is never sent to any server, ensuring complete privacy and security of your information.
Can I use the output in my application?
Yes, the generated JSON is fully standards-compliant and ready to use in any application that accepts JSON data. You can copy it directly or download it as a file for immediate use in your projects.
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