How to convert json data to a markdown comparison table
- Step 1Structure the JSON as an array of comparable entities — Each object in the array represents one entity (product, plan, or version). Keys represent attributes or metrics. All objects should share the same set of keys for a complete comparison.
- Step 2Choose layout orientation — Select 'Entities as columns' to place each entity as a table column header — best for feature comparisons. Select 'Entities as rows' to place each entity as a table row — best for benchmark result tables.
- Step 3Enable boolean formatting — Turn on 'Boolean to checkmarks' to convert true →’ ✓“ and false →’ ✓—. For partially supported features, map string values like 'partial' or 'coming-soon' to custom symbols in the options.
- Step 4Copy and embed in your content — Paste the Markdown table into your blog post, README, Notion page, or Markdown-based docs site. The GFM table syntax renders correctly on GitHub, Docusaurus, Nextra, and most static site generators.
Frequently asked questions
How do I handle attributes that only some entities have?+
Missing keys in some objects are represented as an empty cell or a customizable placeholder (e.g. — or N/A) in the comparison table. Ensure all objects have the same key set by using the JSON Key Filter to normalize the input, or leave gaps and the converter fills empty cells automatically.
Can I embed the table in an MDX or Docusaurus page?+
Yes. The output is standard GFM Markdown table syntax that MDX and Docusaurus parse correctly without any component wrapping. For sortable or filterable tables, consider the React Table or Tabulator library after confirming the static Markdown version meets your needs.
Is the comparison data — including internal pricing or benchmark figures — uploaded anywhere?+
No. The Markdown generation runs entirely in your browser. Competitive analysis data, internal performance benchmarks, and pricing tiers are never transmitted to JAD Apps servers.
Privacy first
Conversion runs locally in your browser. No file is uploaded — only metadata counters are saved for signed-in dashboard stats.