CSV to JSON converter
Turn CSV into clean JSON free online, ready for APIs, databases, and JavaScript. Header row becomes keys, RFC 4180 parsing, 500 MB, files deleted in 1 hour.
Drop a file to convert here
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About JavaScript Object Notation
Common Use Cases
- Converting spreadsheet data for APIs
- Preparing data for web applications
- Data integration and transformation
CSV is the de facto export format for spreadsheets, reports, and legacy databases, but most modern tools expect JSON. Converting from CSV to JSON is usually the first step when you need to ship a dataset into a web app, seed a database, or send rows to an API. This tool parses your CSV, uses the header row as object keys, and outputs clean JSON ready for any codebase.
Every row in your CSV becomes one JSON object, with the first row used as the property names, so a table with 1,000 rows turns into an array of 1,000 objects.
Why Convert CSV to JSON?
Feed spreadsheet data into APIs and web apps
Most REST APIs, GraphQL endpoints, and JavaScript frameworks expect JSON payloads. Converting your CSV first means you can POST records straight to an endpoint or drop them into a React, Vue, or Next.js app without writing any parsing code.
Seed databases and run migrations quickly
NoSQL databases like MongoDB and Firestore, and document-oriented tools like Convex and Elasticsearch, all ingest JSON natively. Converting a CSV export to JSON is the fastest way to bulk-load records without building an import script.
Easier to read and debug than raw CSV
A JSON file labels every value with its field name, so you can look at a record and immediately see what each number means. CSVs force you to count columns or squint at the header row, which gets tedious fast when you are debugging a specific record.
Ready for JavaScript, Python, and every scripting language
Every modern language has a built-in JSON parser. Once your CSV is converted, you can JSON.parse it in Node.js, json.load() it in Python, or drop it into a config file, no csv library or custom delimiter handling required.
When to use each
Use CSV when...
- Opening the data in Excel or Google Sheets
- Sharing tabular data with non-technical teammates
- Importing into SQL, Tableau, or Power BI
- The data is a flat list of records
- Long-term archival of simple tables
Use JSON when...
- Sending records to an API or web app
- Seeding a database or NoSQL store
- Building a config file or static dataset
- You want self-documenting, labeled records
- The consumer is JavaScript, TypeScript, or Python
Common use cases
- Converting spreadsheet data for APIs
- Preparing data for web applications
- Data integration and transformation
How to use
- Upload your CSV file. Drag and drop a .csv file onto the upload area, or click to browse from your computer. The maximum file size is 500 MB, which comfortably fits multi-million-row exports from most databases and analytics tools.
- Run the conversion. Click Convert File. Your CSV is parsed on our servers using the first row as object keys, and each subsequent row is turned into a JSON object. The converter detects UTF-8 with or without a BOM, handles quoted fields with commas inside them, and outputs a clean JSON array.
- Download your JSON. When processing finishes, a download link appears. Save the .json file and drop it straight into your codebase, API, or database. All uploaded files and converted output are automatically deleted from our servers within 1 hour.
Frequently asked questions
- Does the first row of my CSV become the JSON keys?
- Yes. The first row is treated as the header, and every field name becomes a key in each JSON object. If your CSV does not have a header row, the first row of data will be used as keys instead, so add one before uploading or expect to rename fields after conversion.
- How are numbers, booleans, and empty cells handled?
- Values that parse cleanly as numbers become JSON numbers, the literal strings "true" and "false" become booleans, and every other value stays as a string. Empty cells are kept as empty strings by default, which preserves the original column structure. Leading zeros in zip codes and phone numbers are left alone as strings.
- Will my UTF-8 characters and accented letters survive the conversion?
- Yes. The converter reads UTF-8 input, with or without a byte-order mark, and always writes UTF-8 JSON output. Accented characters, emoji, and non-Latin scripts like Japanese, Arabic, or Cyrillic are preserved exactly. If your CSV was exported as Windows-1252 from older Excel, re-save it as UTF-8 first to avoid mojibake.
- What happens if my CSV has fields containing commas or quotes?
- Standard CSV escaping is supported. Fields wrapped in double quotes can contain commas, line breaks, and embedded quotes (escaped as "") and they will be parsed correctly into the resulting JSON strings. This follows the RFC 4180 spec that Excel, Google Sheets, and most other tools also use.
- Is there a limit on rows or file size?
- The hard limit is 500 MB per file. Within that, there is no row cap, and the converter comfortably handles hundreds of thousands of rows on a single upload. Larger files take a few extra seconds to process.
- Is converting CSV to JSON free?
- Yes. Anyone can convert for free with no account required. Anonymous users get a daily conversion allowance, registered FileFactory accounts get higher limits, and Premium or Lifetime members get unlimited conversions with priority processing.
- How long are my files stored on your servers?
- Uploaded CSV files and the converted JSON output are automatically deleted within 1 hour. Files are transferred over encrypted connections, and we never share or inspect the contents of your data.