JSON a tabla

View as a table and export CSV

Cargando herramienta…

Acerca de JSON a tabla

View as a table and export CSV

Tables are useful for inspecting records and spotting missing or inconsistent fields. CSV is a flat format, so nested objects, arrays, commas, quotes, and newlines need a clear representation before another spreadsheet or system imports the result.

Cómo usar esta herramienta de desarrollo

  1. Paste JSON containing an array or another supported record structure.
  2. Review the detected columns and how missing or nested values are displayed.
  3. Export CSV only after checking delimiters, quoting, and sensitive fields in the resulting table.

Privacidad y tratamiento de datos

Parsing and table generation run locally in the browser. Use a reduced sample instead of uploading an unrestricted customer or production export to a public tool.

Herramientas de desarrollo relacionadas

Preguntas frecuentes

Why is my JSON not shown as a table?

A table needs a record-like structure, commonly an array of objects. Check the outer brackets and whether each item has fields that can become columns.

What happens to nested JSON?

Nested values need a display or flattening rule and may not map cleanly to one CSV cell. Inspect the preview before exporting.

Is CSV safe for arbitrary text?

The exporter should quote values where needed, but always inspect cells containing commas, quotes, or line breaks before importing them into another system.