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Convert CSV data to Markdown table format instantly. Paste spreadsheet exports and get GFM-ready tables for GitHub docs, blogs, and knowledge bases.
Convert tab-separated values to comma-separated CSV format. Fix delimiter mismatches from database exports and prepare data for Excel or Google Sheets.
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Flattens an array of JSON objects into CSV rows. Column headers are derived from object keys. Nested objects are flattened using dot notation (user.name) or bracket notation (user[0]).
Headers = union of all object keys; Row[i] = object values in header order; Nested: flatten with dot pathsArrays within objects can be joined (comma-separated in one cell), expanded (one row per array element), or serialized as JSON strings. Null values produce empty cells. Boolean values render as true/false.
Updated: July 2026
Transform a JSON array of user objects into CSV for import into Excel/Google Sheets.
→ CSV with headers: name,email,role,created_at and one row per user
Flatten deeply nested JSON (user.address.city) into flat columns.
→ Flat CSV with headers like user.address.city, user.address.zip
Real-world JSON arrays often have objects with different keys (sparse data). Collect ALL keys across ALL objects for the header row, and output empty cells where keys are missing.
Values containing commas must be quoted. Values containing quotes must have quotes doubled (""). Per RFC 4180: "field with ""quotes"" and, comma" is valid CSV encoding.
Convert JSON arrays and objects to CSV files online. Flatten API responses and config exports into spreadsheet-friendly rows with headers preserved. It applies the json array to csv (Headers = union of all object keys; Row[i] = object values in header order; Nested: flatten with dot paths). For example: convert api response to spreadsheet — Transform a JSON array of user objects into CSV for import into Excel/Google Sheets.