Convert CSV to JSON
Any format,
any structure.
Free CSV to JSON converter with four output modes — array of objects, array of arrays, keyed object and GeoJSON. Type coercion, pretty print and copy to clipboard. Runs entirely in your browser.
Three steps, four output formats, zero uploads.
Drag your .csv file into the converter. CSVShift auto-detects the delimiter (comma, tab or semicolon), reads the header row and counts the data rows before you configure anything.
Select the JSON structure that matches your use case — array of objects for APIs, keyed object for lookups, GeoJSON for mapping. Enable type coercion to convert numbers and booleans automatically instead of keeping everything as strings.
Preview the first 700 characters of the output, then download the .json file or copy it directly to your clipboard with one click — ready to paste into your code, API client or config file.
Choose the right structure for your use case.
Understanding the difference helps you choose the right conversion.
CSV is a flat tabular format — every row has the same columns, values are plain text, and there is no concept of data types or nested structures. It is ideal for spreadsheets, databases and data pipelines that process rectangular data.
JSON is a hierarchical data format that supports typed values (numbers, booleans, null), nested objects and arrays. It is the standard interchange format for REST APIs, web applications and modern configuration files. When you fetch data from an API or post to a webhook, you are almost certainly working with JSON.
Convert CSV to JSON when you need to feed spreadsheet data into an API, a JavaScript application, a MongoDB import, or any system that expects JSON as its input format. The type coercion option in CSVShift automatically converts numeric strings to numbers and "true"/"false" to booleans — so your JSON is properly typed without manual post-processing.
Real developer and analyst workflows where this conversion is essential.
REST APIs and webhooks expect JSON. Converting a CSV data export to JSON lets you POST the data to an API endpoint, import it into a SaaS tool or feed it into a data pipeline without writing a custom parser.
MongoDB's mongoimport tool accepts JSON or JSONL. Converting your CSV dataset to a JSON array first gives you a file ready for direct database import with proper types — numbers as numbers, not strings.
If your CSV has latitude and longitude columns, CSVShift converts it directly to a GeoJSON FeatureCollection — the standard format for Mapbox, Leaflet, Google Maps and any web mapping library.
Static JSON files are a common pattern for seeding data in React, Vue or Next.js applications. Converting a product list, config table or reference dataset from CSV to JSON produces a file you can import directly into your frontend code.
What each setting does and when to change it.
| Option | Values | When to use it |
|---|---|---|
| Output format | Objects · Arrays · Keyed · GeoJSON | Array of objects is the standard for APIs and most JavaScript use. Array of arrays is compact and useful for data visualization libraries. Keyed object creates a lookup table indexed by a column you choose — ideal for configuration and reference data. GeoJSON for mapping applications. |
| Value types | Auto-detect · Strings only | Auto-detect converts numeric strings to numbers, "true"/"false" to booleans, and empty fields to null — producing properly typed JSON. Strings only keeps all values as quoted strings — useful when you need to preserve leading zeros or when the receiving system expects string-only JSON. |
| Formatting | Pretty · Minified | Pretty print adds 2-space indentation — human-readable and easy to debug. Minified removes all whitespace — smaller file size, better for production APIs and storage. |
| Empty fields | Omit · Include as null | Omit skips keys where the CSV value is blank — produces cleaner JSON for sparse datasets. Include as null keeps all keys present in every object — required when the receiving system expects a fixed schema with all fields always present. |
Other free converters on CSVShift you might need.
Conversion runs in
your browser. Always.
CSVShift processes every CSV to JSON conversion entirely in JavaScript in your browser. Your file is read with the File API and never sent to any server. The JSON is generated in memory and either copied to your clipboard or downloaded directly.
The type coercion engine follows JavaScript's native parsing rules — the same logic used by JSON.parse() — ensuring consistent, predictable output that matches what your code would produce.
import csv, json; data = list(csv.DictReader(open('file.csv'))); print(json.dumps(data, indent=2)). For a no-code browser-based alternative, use CSVShift — upload and download in seconds without writing any code.