About

This tool transforms structured raw data (JSON or CSV) into human-readable text tables. In software engineering, visualizing data arrays in a terminal or documentation often requires precise monospaced formatting. This engine calculates the optimal width for every column ensuring strict alignment.

We utilize a layout algorithm where the column width W is determined by the maximum string length in that dataset column, plus padding P. This ensures that whether you are generating GitHub Flavored Markdown or a MySQL-style CLI output, the result is perfectly grid-aligned.

Formulas

The core logic iterates through the dataset to determine the bounding box for each column. The width w of column i is defined as:

w_i = max(len(header_i), N&max;r=0 len(cell_r,i)) + 2×padding

Where N is the total number of rows. Once dimensions are locked, the renderer constructs the grid using character mapping.

Reference Data

Style Name	Corner	Vertical	Horizontal	Use Case
Markdown	\|	\|	-	GitHub READMEs, Jira
MySQL (ASCII)	+	\|	-	CLI Logs, Database Output
Unicode Double	╔/╗/╚/╝	║	═	High-fidelity Text UI
Minimal	(none)	(space)	(none)	Clean Data Dumps
Compact	+	\|	-	Small screens, dense data

Frequently Asked Questions

Ensure your JSON is a valid Array of Objects (e.g., [{"name":"A"}, ...]). The tool requires a list structure to generate rows. Single objects will be wrapped in an array automatically.

Yes. Select the "Markdown" style from the dropdown. It generates standard pipe-separated tables compatible with GitHub, GitLab, and Reddit.

Nested objects or arrays inside a cell are stringified (e.g., '{"a":1}') to fit into a single table cell. We recommend flattening your data before pasting for the best results.

For browser performance, we recommend keeping datasets under 2,000 rows. The calculation happens instantly on the client-side.