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Markdown Checker (Python)

Paste Markdown and get a compact lint-style report with line numbers. It catches common issues like unclosed code fences, heading/list spacing, trailing whitespace, and incomplete links. You can also generate a small Python script that performs similar checks locally.

Category: Text · URL: /tools/markdown-checker-python.html
Input (Markdown)
Privacy: runs locally in your browser. No uploads, no tracking scripts.

How to use

Run a quick Markdown sanity check and (optionally) export a Python checker.

  1. Paste your Markdown into the input box.
  2. Adjust options (max line length, trailing spaces rule).
  3. Click Check Markdown to get a report with line numbers.
  4. Optional: click Generate Python checker to get a runnable script.
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Secondary intents covered: Find unclosed ``` code fences before publishing, Catch headings like #Title missing a space, Detect list markers like -item missing a space, Spot trailing whitespace and long lines, Identify incomplete Markdown links like ]( without ), Generate a small Python script to run the checks locally, Create a quick pasteable report for PR reviews, Keep Markdown consistent across docs/README files

FAQ

Does this fully validate Markdown syntax?

No. It checks common, practical problems (fences, spacing, trailing whitespace, incomplete links), not a full Markdown parser.

What does “unclosed code fence” mean?

A fenced block started with ``` or ~~~ but the closing fence wasn’t found, so the rest of the file may render as code.

Why warn about trailing spaces if Markdown uses them for line breaks?

Two trailing spaces can be intentional; the option “Allow exactly 2 trailing spaces” keeps that behavior while warning on other trailing whitespace.

Can it check Markdown links?

It flags incomplete patterns like ]( without a closing ). It does not fetch URLs or verify link targets.

Is this tool offline?

Yes. The checks run locally in your browser and the script generator does not call the network.

How do I use the Python checker output?

Copy it into a file (for example md_check.py), then run python3 md_check.py README.md or pipe content via stdin.

Can I use this in a pre-commit workflow?

Yes. Use the generated Python script (or port the logic) and fail the commit when it prints any ERROR issues.