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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.

Also normalize API endpoint paths to /api/v1/tools/<id> (no modality segment) and standardize curl examples on the Docker API port 1349. Verified with a clean docs build.

2026-06-18 14:12:28 +08:00

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description

description
Split a CSV into smaller files by row count.

Split CSV

Split a large CSV or TSV file into smaller files by row count. Returns a ZIP archive containing the parts.

API Endpoint

POST /api/v1/tools/split-csv

Accepts multipart form data with a CSV file and a JSON settings field.

Parameters

Parameter	Type	Required	Default	Description
rowsPerFile	integer	No	`1000`	Number of data rows per output file (1--1,000,000)
keepHeader	boolean	No	`true`	Repeat the header row in each output file

Example Request

curl -X POST http://localhost:1349/api/v1/tools/split-csv \
  -H "Authorization: Bearer si_your-api-key" \
  -F "file=@large-dataset.csv" \
  -F 'settings={"rowsPerFile": 500, "keepHeader": true}'

Example Response

{
  "jobId": "a1b2c3d4-e5f6-7890-abcd-ef1234567890",
  "downloadUrl": "/api/v1/download/a1b2c3d4-e5f6-7890-abcd-ef1234567890/large-dataset_parts.zip",
  "originalSize": 1048576,
  "processedSize": 1050000
}

Notes

Output is always a ZIP archive containing the split CSV parts, named sequentially (e.g. part-1.csv, part-2.csv).
When keepHeader is true, each part includes the original header row so each file can be used independently.
Both CSV and TSV files are accepted as input.
The row count refers to data rows only; the header row is not counted.

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