Serializing CSV

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Documentation for Serializing CSV

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../../docs/(plugins)/(serializing)/csv.mdx
---
title: Serializing CSV
---

<ComponentPreview name="csv-demo" />

<PackageInfo>

## Features

- Convert CSV content to Plate table format
- Configurable error tolerance for parsing malformed CSV data

<Callout className="my-4" type="note">
  Converting a Plate value to CSV is not yet supported.
</Callout>

</PackageInfo>

## Manual Usage

<Steps>

### Installation

```bash
npm install @platejs/csv
```

### Add Plugin

```tsx
import { CsvPlugin } from '@platejs/csv';
import { createPlateEditor } from 'platejs/react';

const editor = createPlateEditor({
  plugins: [
    // ...otherPlugins,
    CsvPlugin,
  ],
});
```

### Configure Plugin

```tsx
import { CsvPlugin } from '@platejs/csv';
import { createPlateEditor } from 'platejs/react';

const editor = createPlateEditor({
  plugins: [
    // ...otherPlugins,
    CsvPlugin.configure({
      options: {
        errorTolerance: 0.1,
        parseOptions: {
          header: true,
          skipEmptyLines: true,
          delimiter: ',',
        },
      },
    }),
  ],
});
```

- `options.errorTolerance`: Percentage of rows that can contain errors (default: `0.25` for 25%)
- `options.parseOptions`: Configuration passed to PapaParse library for CSV parsing
- `options.parseOptions.header`: Treat first row as headers (default: `true`)

</Steps>

## Usage

### CSV to Plate

Use the API method to deserialize CSV data:

```tsx
// Deserialize CSV string to Plate format
const csvData = `Name,Age,City
John,30,New York
Jane,25,Boston`;

const nodes = editor.api.csv.deserialize({ data: csvData });
```

## Plugins

### CsvPlugin

Plugin for CSV deserialization functionality.

<API name="CsvPlugin">
<APIOptions>
  <APIItem name="errorTolerance" type="number" optional>
    The tolerance for errors in the CSV data, represented as a percentage in decimal form. This value is calculated as the ratio of errors to the total number of rows.

    - **Default:** `0.25` (This indicates that up to 25% of the rows can contain errors.)
  </APIItem>
  <APIItem name="parseOptions" type="ParseConfig" optional>
    Options to be passed to the PapaParse library for parsing CSV data.

    - **Default:** `{ header: true }` (Indicating that the first row of the CSV data should be treated as a header.)
    - See [PapaParse documentation](https://www.papaparse.com/docs#config) for more details about these options.
  </APIItem>
</APIOptions>
</API>

## API

### api.csv.deserialize

Takes a CSV (Comma Separated Values) string and converts it into a Plate compatible format. This function uses the `papaparse` library to parse the CSV data.

<API name="deserialize">
<APIParameters>
  <APIItem name="data" type="string">
    The CSV data string to be deserialized.
  </APIItem>
  <APIItem name="errorTolerance" type="number" optional>
    Percentage in decimal form, from 0 to ∞, 0 for no errors allowed. Percentage is based on number of errors compared to number of rows.
    - **Default:** `0.25`
  </APIItem>
  <APIItem name="parseOptions" type="ParseConfig">
    Options to be passed to the PapaParse library for parsing CSV data.
    - **Default:** `{ header: true }`
    - See [PapaParse documentation](https://www.papaparse.com/docs#config)
  </APIItem>
</APIParameters>

<APIReturns type="Descendant[]">
  Array of `Descendant` nodes representing the CSV data in Plate format. Returns `undefined` if parsing fails.
</APIReturns>
</API>

Creates a table representation of the CSV data:
- Headers (if present) become the first row
- Each CSV row becomes a table row
- Uses plugins: `TablePlugin`, `TableCellHeaderPlugin`, `TableRowPlugin`, and `TableCellPlugin`

Installation

npx shadcn@latest add @plate/csv-docs

Usage

Usage varies by registry entry. Refer to the registry docs or source files below for details.