Paste JSON array data, get a clean readable table. Great for sharing API data with clients.
JSON arrays of objects are the standard format for API responses, database exports, and data feeds. While developers can read raw JSON, it's difficult for non-technical stakeholders — clients, managers, analysts — to parse nested brackets and braces.
Converting JSON to a table makes the data instantly scannable. Each object becomes a row, each key becomes a column header. This is especially useful when sharing API response samples in documentation, presenting data in meetings, or debugging by visually inspecting large datasets.
This tool automatically detects the keys in your JSON array and builds a clean HTML table. It handles nested objects by stringifying them inline, and works with any valid JSON array — from simple flat records to complex nested structures. Copy the table for use in emails, docs, or presentations.
This tool in other languages:
Français:
Convertisseur JSON en tableau
Español:
Convertidor de JSON a tabla
Deutsch:
JSON-zu-Tabelle Konverter
Português:
Conversor de JSON para tabela
日本語:
JSONからテーブルへの変換
中文:
JSON 转表格工具
한국어:
JSON을 테이블로 변환
العربية:
محول JSON إلى جدول
Paste your JSON array into the input and click Convert. The tool detects object keys and generates an HTML table with headers and rows. Click Copy HTML to grab the markup for documents, emails, or web pages.
An array of objects with consistent keys works best, e.g. [{"name":"Ada","age":36},{"name":"Linus","age":54}]. The tool uses the keys as column headers and each object becomes a row. Nested objects are flattened; missing keys become empty cells.
Yes. The generated HTML renders as a real table when pasted into Word, Google Docs, and even Gmail. For Excel or Google Sheets, use the JSON to CSV tool instead — it produces a format those apps parse directly.
This is the main use case. Developers often get JSON from an API; non-developers need it in a readable format. Paste the response here, copy the HTML, and drop it into a doc or Slack message. No formatting, no sending raw JSON.
Yes, but nested values are flattened — a key like user.address.city becomes a single column. For deeply nested or complex JSON, consider pre-processing with a JSON transformer first.