Turn Pasted Text into Markdown Tables and FAQ Schema
Paste tab-separated rows or Q:/A: pairs and get a clean Markdown table plus valid FAQPage JSON-LD. Escapes pipes, pads cells and explains limits.
The text to Markdown table and FAQPage schema generator takes plain text — rows copied from a spreadsheet, or question and answer pairs — and returns two things: a padded Markdown table and valid FAQPage JSON-LD. It handles the tedious parts: detecting the delimiter, escaping pipes inside cells, padding short rows, and keeping the schema valid.
Neither output is complicated. The value is in avoiding the silent mistakes. A pipe inside a cell starts a new column. A newline ends a row. A trailing comma leaves an empty column that looks fine in the editor and wrong on the page. The generator escapes and pads so the table survives rendering.
What the tool produces
- A Markdown table with a header row, separator row, consistent column widths and optional alignment.
- FAQPage JSON-LD with
QuestionandacceptedAnswerentities. - A ready script tag wrapping the JSON for pages that use inline structured data.
- Counts and notes — rows, columns, FAQ items, detected delimiter and any cells that needed escaping.
Two modes do the work:
| Mode | Input | Output |
|---|---|---|
| Table | Rows separated by tabs, pipes, commas or runs of spaces | Markdown table |
| FAQ | Lines starting with Q: and A: (or Question, Answer, Q., A -) |
JSON-LD |
| Auto | Both in one paste | Table from the preamble, FAQ from the Q/A block |
Auto is the default because documentation and help pages often contain a table followed by an FAQ. The parser treats everything before the first question as table material and the question block as FAQ material, so one paste can produce both.
How to convert text into a Markdown table
- Open the text to Markdown table and FAQPage schema generator.
- Paste rows. Tabs from a spreadsheet work best; pipes and commas are detected too.
- Include a header row. The first row becomes the table header.
- If you include a separator row of dashes (
---,:---,---:), its alignment is honoured per column. - Choose an alignment for columns without a separator hint.
- Press Run and copy the Markdown.
A row that has fewer cells than the widest row is padded with empty cells, so the table stays rectangular. Extra cells beyond the widest row are dropped. Lines that contain only a pipe are treated as separators, not data.
Delimiters the parser recognises
Tabs win when present, because pasted spreadsheets use them. Pipes come next. Commas are handled as CSV, including quoted fields. Runs of two or more spaces are the last resort, because a single space between words must never become a column boundary.
If the detection guesses wrong, the output makes it obvious: a table with one column or with every word in its own cell. Change the input to use tabs and run again.
How to generate FAQPage schema
Paste pairs in this shape:
Q: What does the tool do?
A: It converts rows into a Markdown table and Q/A pairs into FAQPage JSON-LD.
Q: Does it upload my text?
A: No. The conversion runs in the browser.
The parser accepts Q:, Question:, Q., Q), Q - and similar markers for questions, and A:, Answer:, Ans: or Response: for answers. Answers can run over several lines; blank lines inside an answer are preserved as paragraph breaks in the schema text.
The page title is optional. Leave it blank and the first question becomes the title; supply one and it is used instead. A custom title can be up to 120 characters. Up to 100 FAQ items are included; anything beyond that is dropped and reported rather than silently truncated.
What FAQPage schema does and does not do
FAQPage markup is valid structured data and useful for accessibility and for consumers that read it. It is not a guaranteed rich result. Google restricts FAQ rich results to authoritative government and health sites, so most publishers will not see an expandable FAQ in search even with perfect markup.
That does not make the markup worthless. It gives machines an explicit question-and-answer structure, and it is a clean way to publish an FAQ that other systems can parse. Just do not promise stars or extra traffic from it.
The schema follows the shape Google documents:
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