CSV to JSON
Convert CSV data to JSON format instantly
How to use CSV to JSON
Convert CSV data to JSON format instantly. Customize delimiter and headers. Free online CSV to JSON converter tool.
When do you need to convert CSV to JSON?
CSV and JSON are the two most common data interchange formats. CSV is the export format of spreadsheets and databases; JSON is what APIs and web applications consume. Converting between them is a bridge operation developers and data analysts perform constantly.
- API integration: Import data from a spreadsheet (exported as CSV) into a REST API that expects JSON. Parse the CSV, convert each row to a JSON object, and POST to the endpoint.
- Database seeding: Seed a development database from a CSV export of production data by converting to JSON first, then importing with a script.
- Frontend data loading: Static site generators and JavaScript applications often consume JSON data files. Convert a CSV dataset to JSON once and bundle it with the application.
- Data exploration: Convert a CSV to JSON to inspect the structure in a JSON formatter — easier to understand nesting and data types than raw CSV.
- No-code automation: Tools like Zapier, Make (Integromat), and n8n often require JSON input. Convert spreadsheet data to JSON to feed into automated workflows.
Example: A CSV row Alice,30,Barcelona with headers name,age,city becomes the JSON object {"name":"Alice","age":"30","city":"Barcelona"}. Note that CSV values are always strings — type conversion (age to integer) requires additional processing.
Frequently Asked Questions
Does CSV to JSON conversion preserve data types?
No — CSV stores everything as text. When converted to JSON, all values become strings by default: age 30 becomes '30', not the integer 30. To get correct types, either post-process the JSON (parse numbers, booleans) or use a tool that infers types. Always review the output before using it in production code.
What happens with CSV columns containing commas?
CSV values containing commas should be wrapped in double quotes: 'Barcelona, Spain' becomes '"Barcelona, Spain"' in the CSV. Standard CSV parsers handle this correctly. Problems arise with non-standard CSV files that do not quote values — always inspect your CSV for embedded delimiters before converting.
What is the difference between CSV and TSV?
CSV (Comma-Separated Values) uses commas as delimiters. TSV (Tab-Separated Values) uses tab characters. TSV is less common but useful when data contains commas. This converter supports both — select the delimiter that matches your file.
How do I convert JSON back to CSV?
Reverse conversion is straightforward for flat JSON arrays (each object becomes a row). Nested JSON requires flattening first — child objects become dotted column names (address.city) or are serialized as strings. Use a dedicated JSON-to-CSV tool for this operation.
Can I convert multi-row CSV with nested relationships to JSON?
Flat CSV maps to a flat JSON array — one object per row. Nested JSON (parent/child relationships) cannot be directly expressed in CSV. To create nested JSON from related CSV files, you need custom code that joins the data by key fields.
CSV vs JSON vs XML vs YAML
CSV is the simplest — tabular data only, no nesting, universally supported by spreadsheets. JSON supports nested structures and is the standard for web APIs. XML is more verbose but supports schemas, namespaces, and attributes — still dominant in enterprise systems. YAML is human-friendly for configuration files but whitespace-sensitive and error-prone for data exchange. For web APIs and modern applications: JSON. For spreadsheets and data exports: CSV. For configuration: YAML or TOML.