JSON to CSV Converter & Flattener

Convert JSON arrays and complex nested objects into clean RFC 4180 CSV tables. Features automatic key flattening, custom delimiters, and instant file download.

Input JSON

Sample Datasets
CSV Table Output
3 Records

Columns

5

Rows

3

Delimiter

,

Standard

RFC 4180

Delimited CSV Output159 chars
id,name,email,role,active
101,Sarah Connor,sarah@cyberdyne.io,Admin,true
102,John Doe,john@example.com,Editor,false
103,Jane Smith,jane@company.org,Viewer,true

Excel & Google Sheets Compatible

Includes proper escaping for strings containing quotes, commas, and line breaks. Ready for drag-and-drop import into spreadsheets and relational databases.

RFC 4180 Tabular Data Flattening & Escape Formulations

Converting hierarchical tree structures into 2D relational matrices requires recursive key path projection and escape handling:

1. Recursive Dot-Notation Key Path Projection
Path(O, K) = K_1.K_2 \dots K_n \implies Value(O[K_1][K_2]\dots[K_n])
2. RFC 4180 Quote Escaping Rule
Cell(v) =
" + replace(v, '"', '""') + "if v contains [d, ", \n]
Step-by-Step JSON to CSV Transformation Breakdown
Step 1: Schema Discovery & Header Aggregation
Iterate across all record objects to form universal union set U = ⋃ Keys(Ri).
Step 2: Recursive Object Unrolling
Convert { user: { name: "Alice" } } to user.name = "Alice".
Step 3: Delimiter Serialization
Output=RFC 4180 Compliant 2D Delimited File

JSON vs CSV Representation Comparison

FeatureJSON FormatCSV FormatRecommended Use Case
HierarchyArbitrarily nested trees & listsFlat 2-dimensional gridUse CSV for Excel / SQL ingestion
File OverheadRepeats keys for every recordHeader declared once (~60% smaller)Use CSV for large tabular exports
Type SystemTyped (numbers, booleans, null)Untyped text stringsUse JSON for REST API contracts

Frequently Asked Questions

How does nested JSON flattening work?
When recursive flattening is enabled, nested object keys are unrolled into flat dot-notated column headers (e.g., `customer.city` and `customer.name`). Arrays of primitives are converted to JSON strings.
Does this converter comply with RFC 4180 CSV specifications?
Yes. Any cell values containing commas, tabs, double quotes, or newlines are wrapped in standard RFC 4180 double quotes, with internal quotes escaped as `""`.
Is my JSON data kept private?
Yes. Parsing and CSV transformation run 100% locally in your web browser. No payload or API data is transmitted to remote servers.

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