CSV to Markdown table converter - free online tool

A CSV to Markdown table converter turns comma-separated values into a GitHub Flavored Markdown (GFM) table. Use it when you want to paste spreadsheet data into a README, issue, pull request, or docs page without manually counting pipes.

Textavia converts in your browser, so the CSV you paste stays on your device.

1. Paste CSV: Paste your CSV rows into the input box above.
2. Choose delimiter and headers: Auto-detect works for most CSV. Confirm whether the first row is a header.
3. Copy the table: Copy the Markdown output and paste it into GitHub, GitLab, or your docs tool.

CSV often means comma-separated values, but many exports use other delimiters:

• Semicolons: Common in some spreadsheet exports where commas are used for decimals.
• Tabs: Common when you copy cells from a spreadsheet.
• Pipes: Common in logs and quick internal tooling.

If the output looks misaligned, set the delimiter explicitly and convert again. For copied spreadsheet cells, the Google Sheets to Markdown table tool usually matches the tab-separated format.

• Readable diffs: Markdown tables are easier to review than raw CSV in pull requests.
• Docs-friendly: A table in Markdown is easier for humans to scan than comma-separated text.
• Less manual work: No need to hand-build pipes, alignment rows, and spacing.

Use case 1: Document an API response shape

If you have a list of fields in CSV form, convert it into a table for your API docs.

Use case 2: Add benchmarks to a README

Teams often track timing, memory use, and file sizes in CSV. Converting to Markdown makes it readable in a repo.

Use case 3: Build quick comparison tables

If you are comparing plans, features, or launch checklists, a Markdown table is easier to share in tickets and docs.

Basic example

Input (CSV):

name,role,timezone
Ada Lovelace,Engineer,UTC+0
Grace Hopper,Staff engineer,UTC-5

Output (Markdown):

| name | role | timezone |
| :--- | :--- | :--- |
| Ada Lovelace | Engineer | UTC+0 |
| Grace Hopper | Staff engineer | UTC-5 |

Advanced example (quotes, commas, and tabs)

CSV often includes commas inside quoted cells. A good converter must keep those cells intact.

Input (CSV):

name,notes
"Jordan","Prefers notes like: ""ship, then fix""; keep commas."
"Dina","Multi-line cells can exist
inside quotes"

Output (Markdown):

| name | notes |
| :--- | :--- |
| Jordan | Prefers notes like: "ship, then fix"; keep commas. |
| Dina | Multi-line cells can exist<br>inside quotes |

The columns do not line up

This usually means the delimiter is wrong. Fix: set the delimiter manually (comma, semicolon, tab, or pipe) and convert again.

My CSV has extra blank rows

Some exports include trailing empty rows. Fix: keep Drop empty rows on so the output table stays compact.

Quoted fields break the table

CSV supports quotes, escaped quotes, and even line breaks inside quoted cells. Fix: make sure your CSV uses consistent quoting, then try converting again. If the CSV is messy, run it through the CSV cleaner first.

• Clean the CSV first: If your CSV has inconsistent quoting or stray whitespace, run it through the CSV cleaner before converting.
• Use header rows for object output later: If you plan to turn the table into JSON objects, keep a meaningful header row. Then use Markdown table to JSON.
• Edit tables visually: After converting, you can tweak alignment and wording using the Markdown table creator. For Windows-friendly output, switch line breaks to CRLF so it pastes cleanly into some editors.

• Convert copied spreadsheet cells with the Google Sheets to Markdown table tool.
• Convert a Markdown table back into data with Markdown table to CSV and Markdown table to JSON.

CSV parsing and table creation run locally in your browser. Textavia does not upload or store the CSV text you paste.