CSV to JSON

csv-to-json · version 1.0.0 · CSV & tables · free, no key needed

Convert a complete CSV document into an array of string-valued objects.

Use when you need to: csv to json · convert csv to json · parse csv rows.

Supported

• csv to json
• convert csv to json
• parse csv rows

Not supported

• infer types
• stream rows
• read files
• fetch urls
• json to csv

Behavior

• The first CSV record supplies object property names.
• Duplicate and empty header names are rejected.
• Every cell remains a string; numbers, booleans, nulls, and dates are not inferred.
• The whole CSV document is processed in one request and row order is retained.

Input

• csv (string, required): max length 256000

Output

• array of object: max items 5000

Limits

• max input bytes: 256000
• max data rows: 5000
• max columns: 256
• max header name bytes: 256
• max output bytes: 1048576

Example

Request input:

{
  "csv": "name,city\nAda,London\n"
}

Response:

{
  "result": [
    {
      "name": "Ada",
      "city": "London"
    }
  ]
}

How to call it

MCP

Connect https://computefirst.net/mcp (setup), then call execute with:

{
  "id": "csv-to-json",
  "version": "1.0.0",
  "input": {
    "csv": "name,city\nAda,London\n"
  }
}

HTTP (no key)

curl -X POST https://computefirst.net/v1/tools/csv-to-json/versions/1.0.0/execute \
  -H "Content-Type: application/json" \
  -d '{"csv":"name,city\nAda,London\n"}'

The machine-readable contract is at /v1/tools/csv-to-json/versions/1.0.0.

CLI

node cli.mjs run csv-to-json 1.0.0 --input input.json --base-url https://computefirst.net

Get the client at /clients/cli/.

Related tools

• CSV transpose: Transpose a CSV matrix including the header row, then re-validate headers.
• CSV add row number: Prepend a 1-based row_number column of canonical integer strings.
• CSV anti join: Keep left CSV rows whose exact key tuples do not appear in the right document.
• CSV concat: Concatenate CSV documents that share identical headers, preserving document and row order.
• CSV dedupe: Remove duplicate CSV data rows while preserving the first occurrence.
• CSV group count: Count CSV rows by exact named-column tuples in first-seen order.