Paste your pipe-delimited Markdown table below
Ready to convert
Paste a Markdown table and click Convert// extract markdown table data to csv in one click
Convert Markdown table syntax to CSV instantly. Extract data from pipe-delimited Markdown tables into clean, downloadable CSV format. Free and browser-based.
Ready to convert
Paste a Markdown table and click ConvertCopy any Markdown pipe table — with or without alignment rows — and paste it into the input.
Choose whether the first row is a header and whether to trim extra whitespace from cells.
Click Convert, then copy the CSV or download it as a .csv file for Excel, Google Sheets, or any data tool.
Markdown tables use pipe characters (|) to delimit columns. This tool parses that syntax — including alignment/separator rows — and converts the data into standard CSV format, which is readable by Excel, Google Sheets, databases, and virtually every data processing tool.
This tool supports standard GFM (GitHub Flavored Markdown) pipe tables. That includes optional leading and trailing pipes, alignment separator rows (e.g. |:---|:---:|---:|), and varying amounts of whitespace around cell content.
Yes. Both | col1 | col2 | and col1 | col2 formats are detected and parsed correctly. The parser strips leading and trailing pipes before splitting cells.
Rows that consist only of dashes, pipes, colons, and whitespace — the alignment separator row — are automatically detected and skipped. They won't appear in the CSV output.
Yes. The downloaded .csv file follows RFC 4180 CSV formatting, with proper quoting for cells that contain commas or quotes. It opens cleanly in Excel, Google Sheets, LibreOffice Calc, and any standard data tool.
No. All conversion happens entirely in your browser using JavaScript. Your Markdown content never leaves your device. There's no server processing, no data storage, and no account required.
The tool will still convert the table, but rows with fewer columns than the header row will have empty cells at the end. Rows with extra columns will include all cells. The preview table makes it easy to spot any inconsistencies before downloading.
Markdown tables are a convenient way to present structured data in documentation, README files, wikis, and technical writing. But when you need to actually work with that data — run calculations in Excel, query it with SQL, import it into a database, or share it with non-technical colleagues — you need it in CSV format.
This free tool bridges that gap. Paste any Markdown pipe table, click Convert, and download a clean .csv file in seconds.
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Markdown tables are part of the GitHub Flavored Markdown (GFM) specification and are widely supported across documentation platforms, static site generators, and text editors. A basic Markdown table looks like this:
| Name | Role | Department |
|-------|-----------|------------|
| Alice | Developer | Engineering |
| Bob | Designer | Product |The first row is the header, the second row (dashes) defines column alignment and acts as a separator, and subsequent rows are data rows. Pipes (|) delimit cells, and leading/trailing pipes are optional.
CSV (Comma-Separated Values) is one of the most universally supported data formats in existence. Every spreadsheet application, database, programming language, and data tool can read and write CSV. It looks like this:
Name,Role,Department
Alice,Developer,Engineering
Bob,Designer,ProductUnlike Markdown tables, CSV has no visual formatting — it's pure data, ready to be processed, queried, or imported anywhere.
The converter processes your Markdown table line by line:
|) after stripping leading/trailing pipes./^[\|\s\-\:]+$/ are identified as alignment rows and skipped.| Alice | to Alice.There are many common workflows where this conversion is useful:
Real-world Markdown tables often have quirks. This tool handles common edge cases gracefully:
:---:, :---, or ---: in separator rows are all correctly identified and skipped.| Alice | vs |Alice|) are normalized when the trim option is enabled.CSV is the right choice for most data extraction workflows. It's plain text, human-readable, and universally compatible. If you need the data in a different format after converting, check out the related tools above — for example, you can take your CSV output and convert it to JSON with the CSV to JSON tool, or import it into a spreadsheet and work with it from there.
<thead> row).