Converting CSV Data to JSON
CSV is the universal export format for spreadsheets and databases, but most modern APIs and code work with JSON. Our converter parses CSV input — including quoted fields containing commas, line breaks, and special characters — and produces a JSON array of objects where the first row of the CSV becomes the object keys.
This is essential when loading reference data from spreadsheets into applications, migrating data from legacy database exports, processing analytics exports from tools like Google Analytics, Mixpanel, or Stripe, and seeding development databases from CSV files. Paste the CSV and get JSON immediately — no server upload, no account required.
The converter handles RFC 4180 compliant CSV including: quoted fields with embedded commas and newlines, double-quote escaping within quoted fields, missing trailing fields (becomes empty string or null), and mixed line endings (CRLF and LF). It produces clean JSON that's ready for JSON.parse().
Tips
- The first row must be headers — they become the JSON object keys. Check for duplicate header names (they overwrite each other).
- Numbers and booleans in CSV are always strings — cast them in code:
parseInt(row.count),row.active === "true". - If fields contain commas, they should be quoted in the CSV:
"New York, NY". - Large CSV files (100k+ rows) are better handled with a streaming parser in code —
csv-parse(Node.js) or Python'scsvmodule.