What input does the tool accept?

It accepts a Markdown table that uses pipe characters to separate columns.

Which output formats are available?

You can generate CSV, JSON rows, or an inferred JSON Schema.

Which types can the tool infer?

It can infer integer, number, boolean, date, date-time, and string types.

How are null values detected?

Values matching the configured null tokens, such as null, NULL, or ~, are treated as null.

What happens when rows have different lengths?

The tool reports uneven rows and retains their cells instead of silently discarding data.

Elysia Tools

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Format Conversion

Markdown Table to CSV JSON with Type Inferred Schema

Convert a Markdown pipe table to CSV, JSON rows or an inferred JSON Schema with alignment and null diagnostics

Details

What this tool helps you do

Infers integer, number, boolean, date, date-time and string columns, preserves escaped pipes and reports uneven rows without discarding cells.

Execution

Run this tool

Fill in the form, run the tool, and review the result in one place.

Prepared example runs

Click an example to fill the form automatically. File inputs still need an upload.

2 examples

Infer types while exporting CSV

Convert a small inventory table and inspect the inferred numeric, boolean and date columns.

CSV table with inferred metadata

Generate a required-field JSON Schema

Turn a Markdown table with nullable cells into a JSON Schema that requires only non-null columns.

JSON Schema with inferred properties

Inputs

Set the required fields, then run the tool.

6 options

ContentPaste or type the main input values.2

Markdown InputtextareaRequiredNull TokenstextOptional

SettingsAdjust formats, ranges, numbers, and modes.3

Output FormatselectOptionalCSV DelimiterselectOptionalRequired FieldsselectOptional

TogglesEnable or disable optional behavior.1

Has HeadercheckboxOptionalEnabled when checked

Result

Ready for a run

Run the tool to preview files, text, structured data, or streamed output here.

Samples

Markdown Table to CSV JSON with Type Inferred Schema

What this tool helps you do

Run this tool

Prepared example runs

Inputs

Result

Examples that match this tool

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Prepared example runs

Inputs

Result

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Key facts

Overview

When to use

How it works

Use cases

Examples

1. Export an inventory table to CSV

2. Generate a required-field JSON Schema

FAQ

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3. Convert a table with escaped pipes