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Convert CSV files into clean, structured JSON with live preview, schema detection, nested slash paths, type guesses, table preview, CSV repair, and browser-only processing for APIs, testing, imports, and data workflows.
Detected Columns
0
Nested Objects
No
Array Fields
No
Nullable Fields
0
CSV Input
JSON Output
CSV is simple for spreadsheets, but APIs and modern applications usually need JSON. This CSV to JSON converter helps you transform rows into readable JSON objects, keyed JSON, row arrays, or column-based arrays depending on how you plan to use the data.
Headers like customer/name, items/0/sku, and score/1 can be converted into nested objects and arrays, making the output more useful for API payloads, mock data, imports, and frontend testing.
This CSV to JSON converter does more than parse rows. It inspects your header structure and cell values so you can understand the dataset before copying it into an API request, import job, fixture file, or data migration script.
Detects total columns, duplicate headers, nullable fields, nested object paths, and array-style fields.
Guesses numbers, booleans, datetimes, nulls, and strings so JSON output is easier to use immediately.
Shows each column with its detected type and structure signals before you download the JSON file.
When broken quotes cause parse errors, Try to Fix CSV can normalize common issues and regenerate output.
| Mode | Best For | What You Get |
|---|---|---|
| CSV to JSON | General APIs and imports | Array of row objects |
| CSV to Keyed JSON | Fast lookup by id | Object keyed by id (or row index) |
| CSV to JSON Array | Lightweight data transport | Array of row arrays (values only) |
| CSV to JSON Column Array | Analytics/column processing | Object of columns, each mapped to value arrays |
Tip: switch mode and the JSON output refreshes automatically.
This converter reads CSV headers and rows, preserves quoted multiline values, and transforms each record into JSON. It supports delimiter auto-detection, path-style nested keys (for example name/first), and structured output modes for integration workflows.
rating/0 can map into arrays.Example input with slash-based nested fields and array indices:
id,name/first,name/last,score/0,score/1 1,Ana,Rao,88,91 2,Vik,Shah,74,82
Converted JSON output:
[
{
"id": 1,
"name": {
"first": "Ana",
"last": "Rao"
},
"score": [88, 91]
},
{
"id": 2,
"name": {
"first": "Vik",
"last": "Shah"
},
"score": [74, 82]
}
]Convert CSV into normal JSON rows, keyed JSON, value arrays, or column arrays based on your API, import, or analytics workflow.
Use slash-based headers such as user/name or items/0/qty to create nested JSON objects and arrays.
Your CSV is processed in the browser, which is useful when working with internal exports, test data, or sensitive payloads.
Line-numbered JSON output makes it easier to review, copy, download, and paste into code, API clients, or test fixtures.
Preview rows, columns, inferred types, nullable fields, nested paths, and array fields before using the JSON output.
JSON output updates while you edit CSV input or switch output and path modes, with manual convert still available.
Use clear header names because they become JSON keys. For nested data, use consistent slash paths like address/city or items/0/name.
Keep IDs stable when using keyed JSON mode. If your CSV has an id column, the converter can use it as the object key for faster lookups.
Review empty cells before exporting. Empty values can affect API imports, testing payloads, and analytics workflows differently depending on your backend expectations.
Yes. It is free and runs directly in your browser.
Yes. Slash paths are converted into nested JSON objects and arrays.
No. CSV parsing is handled in-browser for fast and privacy-friendly conversion.