JSON to CSV converter
Convert JSON to CSV free online and open API responses in Excel. Nested objects auto-flatten to dot-notation columns, UTF-8 safe, 500 MB, no signup.
Drop a file to convert here
or click to browse
About Comma-Separated Values
Common Use Cases
- Converting JSON API responses to spreadsheet data
- Importing data into Excel and analytics tools
- Data export and reporting
JSON is the default shape of data on the modern web, but almost no analyst or marketer wants to stare at raw braces and brackets. CSV is the universal language of spreadsheets, and converting between the two is the fastest way to turn an API response or database export into something you can actually sort, filter, and chart. This tool handles the messy parts so you do not have to.
JSON is hierarchical and can nest objects inside objects, while CSV is strictly flat, so every conversion is really a flattening step that turns tree-like data into rows and columns.
Why Convert JSON to CSV?
Open API responses in Excel instantly
REST and GraphQL endpoints return JSON by default, but your stakeholders want a spreadsheet. Paste the response into a file, convert to CSV, and it opens cleanly in Excel, Google Sheets, Numbers, or any BI tool without a single line of code.
Feed data into analytics and SQL tools
Most data warehouses, SQL clients, and analytics platforms accept CSV as a first-class import format. Tools like Snowflake, BigQuery, Redshift, and Tableau all have native CSV loaders, so converting once gets your JSON dataset into whatever engine your team already runs on.
Flatten nested structures into readable columns
Nested objects are flattened into dot-notation columns like user.name, user.email, and address.city. Arrays of objects with matching keys convert into clean rows, so your hierarchical JSON becomes a tidy table without losing the parent context.
Share data with non-technical teammates
Developers love JSON, but finance, marketing, and ops teams live in spreadsheets. CSV is readable in every tool those teams already use, so handing off data in CSV removes a layer of friction and avoids a round of "can you export this differently?" messages.
When to use each
Use JSON when...
- Sending data between APIs and services
- The data has deeply nested relationships
- You need to preserve types like null and boolean
- Storing config or structured documents
- The consumer is a JavaScript app or mobile client
Use CSV when...
- Opening the data in Excel or Google Sheets
- The data is a flat list of records
- Importing into SQL, Tableau, or Power BI
- Sharing with analysts and non-developers
- Archiving tabular datasets for long-term storage
Common use cases
- Converting JSON API responses to spreadsheet data
- Importing data into Excel and analytics tools
- Data export and reporting
How to use
- Upload your JSON file. Drag and drop a .json file onto the upload area, or click to browse from your computer. Files up to 500 MB are supported, which is enough room for multi-million-row exports from most APIs and databases.
- Run the conversion. Click Convert File. Your JSON is parsed on our servers, nested objects are flattened into dot-notation columns, and arrays of records are unrolled into rows. Everything is handled as UTF-8 so encoding issues do not corrupt accented characters or emoji.
- Download your CSV. Once conversion finishes, a download link appears. Save the CSV and open it in Excel, Google Sheets, Numbers, or any analytics tool. Uploaded files and converted output are automatically deleted from our servers within 1 hour.
Frequently asked questions
- How does the converter handle nested JSON objects?
- Nested objects are flattened into dot-notation columns. An object like {"user": {"name": "Ada", "email": "[email protected]"}} becomes two columns named user.name and user.email. Deeply nested arrays of arrays, which have no natural flat representation, are serialized as JSON strings inside a single cell so no data is lost.
- Where do the CSV headers come from?
- Headers are derived from the keys of the first object in your JSON array. If later objects have extra keys that the first one did not, those fields will be missing from the header row. For the cleanest results, make sure every object in your source array has the same shape, or sort so that the most complete record comes first.
- Is there a maximum number of rows or array length?
- There is no hard row limit, but the overall file must be under 500 MB. In practice you can convert JSON arrays containing hundreds of thousands of records without issue. Very large files may take a few extra seconds to process on our servers.
- Does the converter preserve data types like numbers, booleans, and null?
- CSV is a plain-text format with no native type system, so every value ends up as text in the output. Numbers, booleans, and null values are written in their natural string form (123, true, empty cell for null), and whatever tool opens the CSV will re-infer the types. Excel and Google Sheets usually do a reasonable job of this.
- What about UTF-8 encoding and special characters?
- The output is written as UTF-8 without a BOM, which is the standard encoding for JSON and works correctly in Google Sheets, LibreOffice, and modern versions of Excel. Accented characters, emoji, and non-Latin scripts are preserved exactly. If you need a BOM for older Excel versions, add it yourself or save as UTF-8 with BOM when opening.
- Is converting JSON to CSV free?
- Yes. Anyone can convert for free with no signup required. Anonymous users get a daily conversion allowance, registered FileFactory accounts get higher limits, and Premium or Lifetime members get unlimited conversions.
- How long do you keep uploaded files?
- Uploaded JSON files and the converted CSV output are automatically deleted from our servers within 1 hour. Files are processed over encrypted connections and never shared with third parties.