Snipget.ai

Convert Markdown to plain text

Exact
text_markdown_to_text

Deterministic and authoritative — the canonical answer for this input.

Convert Markdown to plain text. Strips headings, bold/italic, inline and fenced code, links (keeps anchor text), images (keeps alt), blockquote markers, horizontal rules; list markers are normalized to '- ' bullets, not stripped. Set uppercase_headings=False to keep original case. For readability scoring, PII detection, and text-only downstream steps. Processing multiple inputs? Use `text_markdown_to_text_batch` to do up to 1000 in one call.

Parameters

textstringrequired
uppercase_headingsbooleanoptional
preserve_code_blocksbooleanoptional

Call it

curl -X POST https://api.snipget.ai/v1/text/markdown/to-text \
  -H "Authorization: Bearer sk_live_..." \
  -H "Content-Type: application/json" \
  -d '{"text":"# Quarterly Report\n\nRevenue grew **20%** this quarter. See the [full breakdown](https://example.com).\n\n- Cloud\n- Hardware","uppercase_headings":true,"preserve_code_blocks":true}'

The Batch tab sends up to 1000 inputs in one call via /v1/text/markdown/to-text/batch.

Example response

{
  "input_length": 121,
  "output_length": 90,
  "text": "QUARTERLY REPORT\nRevenue grew 20% this quarter. See the full breakdown.\n- Cloud\n- Hardware"
}

FAQ

Why convert Markdown to plain text?

Markdown symbols like #, **, and [link](url) clutter text and confuse downstream steps such as readability scoring, search, or feeding text to another tool. This strips the formatting and leaves clean, readable words.

Does it keep the link text and image captions?

Yes. Links keep their visible anchor text and drop the URL, images keep their alt text, and list items become dash bullets. Headings are uppercased by default, which you can turn off with uppercase_headings.

What does it not do?

It does not render or interpret the document, fetch any linked pages, or convert to HTML. It only removes Markdown syntax to give you plain text.

Is the output always the same for the same input?

Yes. This is deterministic and authoritative: the same Markdown always produces the same plain text, so you can rely on it in a pipeline.

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