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SnapOtter/apps/docs/tools/data/csv-json.md
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SnapOtter 8532f3227b docs: audit all 157 tool pages against live schemas
Reconcile every tool page's parameters, defaults, and response shape against the tool's Zod settings schema and executionHint in code. Notable fixes: color-palette (add count + format params, hex output, median-cut algorithm), favicon (add 5 params, was documented as having none), qr-generate (add logoDataUri), convert (add ppm/eps/tga formats), video-loudnorm (-16 LUFS not -14), smart-crop (async 202 not sync 200), images-to-video (1080x1080 square), and several output-filename and behavior-note corrections.

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---
description: Convert between CSV and JSON, both directions.
---
# CSV to JSON
Convert between CSV and JSON formats in both directions. Upload a CSV or TSV file to get a JSON array of objects, or upload a JSON array to get a CSV file.
## API Endpoint
`POST /api/v1/tools/csv-json`
Accepts multipart form data with a CSV, TSV, or JSON file and a JSON `settings` field.
## Parameters
| Parameter | Type | Required | Default | Description |
|-----------|------|----------|---------|-------------|
| pretty | boolean | No | `true` | Pretty-print JSON output with indentation |
## Example Request
CSV to JSON:
```bash
curl -X POST http://localhost:1349/api/v1/tools/csv-json \
-H "Authorization: Bearer si_your-api-key" \
-F "file=@users.csv" \
-F 'settings={"pretty": true}'
```
JSON to CSV:
```bash
curl -X POST http://localhost:1349/api/v1/tools/csv-json \
-H "Authorization: Bearer si_your-api-key" \
-F "file=@users.json" \
-F 'settings={}'
```
## Example Response
```json
{
"jobId": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
"downloadUrl": "/api/v1/download/a1b2c3d4-e5f6-7890-abcd-ef1234567890/users.json",
"originalSize": 1500,
"processedSize": 2200
}
```
## Notes
- Conversion direction is auto-detected from the input file extension: `.csv` or `.tsv` produces `.json`, and `.json` produces `.csv`.
- The `pretty` parameter only affects JSON output. When set to `false`, the output is a compact single-line JSON string.
- JSON input must be an array of objects with consistent keys. Each object becomes a row, and each key becomes a column header.
- TSV (tab-separated values) files are supported alongside CSV.