Best Free Online Developer Tools to Use in 2026
A practical, opinionated list of the best free online developer tools worth using in 2026, organized by category so you can find what you need fast.
Aug 08, 2026
Convert nested JSON objects to flat CSV rows with dot-notation keys for nested fields.
Paste JSON above to generate flat CSV.
Nested JSON to CSV conversion is the process of taking complex, hierarchical JSON data with nested objects and arrays and flattening it into a flat, tabular CSV format. While flat JSON arrays convert trivially to CSV, deeply nested structures require a strategy to represent each nested field as a column with a dot-notation key (e.g., address.city, address.zip).
This is particularly useful when you need to import hierarchical API responses into spreadsheet applications like Excel or Google Sheets, load data into relational databases, or share structured data with non-technical stakeholders who need a simple row-and-column view. Data analysts, backend developers, and ETL pipeline engineers commonly use this conversion for data migration, reporting, and integration tasks.
The tool automatically detects nested objects and arrays in your JSON, flattens object keys using dot notation, and expands array fields into separate rows. Empty values are handled gracefully, and you can customize the CSV delimiter and quoting behavior to match your target system's requirements.
Nested objects are flattened using dot notation. For example, a JSON object {"user": {"name": "John", "age": 30}} becomes two columns: user.name and user.age. This preserves the hierarchical relationship in a flat structure.
Arrays of primitive values are represented as comma-separated strings in a single cell. Arrays of objects are expanded: each object in the array generates a separate CSV row, duplicating the parent object's scalar fields across rows.
Yes. A single JSON object is treated as a one-row array, producing a CSV with one data row and one header row.
Comma is the standard delimiter, but some European spreadsheet applications expect semicolons because commas are used as decimal separators. Tab-delimited output is useful when your data contains commas or semicolons.
Yes. The tool treats all values as strings for CSV output. If a field has different types across objects (e.g., sometimes a string, sometimes a number), the value is still included in its string representation.
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