docs.sheetjs.com/docz/docs/08-api/03-parse-options.md

---
sidebar_position: 3
hide_table_of_contents: true
title: Reading Files
---

**`XLSX.read(data, options)`**

`read` attempts to parse `data` and return [a workbook object](/docs/csf/book)

The [`type`](#input-type) of the `options` object determines how `data` is
interpreted. For string data, the default interpretation is Base64.

**`XLSX.readFile(filename, options)`**

`readFile` attempts to read a local file with specified `filename`.

:::caution pass

This method only works in specific environments. It does not work in browsers!

The [NodeJS installation note](/docs/getting-started/installation/nodejs#usage)
includes additional instructions for non-standard use cases.

:::

## Parsing Options

The read functions accept an options argument:

| Option Name | Default | Description                                          |
| :---------- | ------: | :--------------------------------------------------- |
|`type`       |         | Input data encoding (see Input Type below)           |
|`raw`        | false   | If true, plain text parsing will not parse values ** |
|`dense`      | false   | If true, use a dense worksheet representation **     |
|`codepage`   |         | If specified, use code page when appropriate **      |
|`cellFormula`| true    | Save formulae to the .f field                        |
|`cellHTML`   | true    | Parse rich text and save HTML to the `.h` field      |
|`cellNF`     | false   | Save number format string to the `.z` field          |
|`cellStyles` | false   | Save style/theme info to the `.s` field              |
|`cellText`   | true    | Generated formatted text to the `.w` field           |
|`cellDates`  | false   | Store dates as type `d` (default is `n`)             |
|`dateNF`     |         | If specified, use the string for date code 14 **     |
|`sheetStubs` | false   | Create cell objects of type `z` for stub cells       |
|`sheetRows`  | 0       | If >0, read the first `sheetRows` rows **            |
|`bookDeps`   | false   | If true, parse calculation chains                    |
|`bookFiles`  | false   | If true, add raw files to book object **             |
|`bookProps`  | false   | If true, only parse enough to get book metadata **   |
|`bookSheets` | false   | If true, only parse enough to get the sheet names    |
|`bookVBA`    | false   | If true, copy VBA blob to `vbaraw` field **          |
|`password`   | ""      | If defined and file is encrypted, use password **    |
|`WTF`        | false   | If true, throw errors on unexpected file features ** |
|`sheets`     |         | If specified, only parse specified sheets **         |
|`PRN`        | false   | If true, allow parsing of PRN files **               |
|`xlfn`       | false   | If true, preserve `_xlfn.` prefixes in formulae **   |
|`FS`         |         | DSV Field Separator override                         |
|`UTC`        | true    | If explicitly false, parse text dates in local time  |

- Even if `cellNF` is false, formatted text will be generated and saved to `.w`
- In some cases, sheets may be parsed even if `bookSheets` is false.
- Excel aggressively tries to interpret values from CSV and other plain text.
  This leads to surprising behavior! The `raw` option suppresses value parsing.
- `bookSheets` and `bookProps` combine to give both sets of information
- `Deps` will be an empty object if `bookDeps` is false
- `bookFiles` behavior depends on file type:
    * `keys` array (paths in the ZIP) for ZIP-based formats
    * `files` hash (mapping paths to objects representing the files) for ZIP
    * `cfb` object for formats using CFB containers
- `sheetRows-1` rows will be generated when looking at the JSON object output
  (since the header row is counted as a row when parsing the data)
- By default all worksheets are parsed.  `sheets` restricts based on input type:
    * number: zero-based index of worksheet to parse (`0` is first worksheet)
    * string: name of worksheet to parse (case insensitive)
    * array of numbers and strings to select multiple worksheets.
- `bookVBA` merely exposes the raw VBA CFB object.  It does not parse the data.
  XLSM and XLSB store the VBA CFB object in `xl/vbaProject.bin`. BIFF8 XLS mixes
  the VBA entries alongside the core Workbook entry, so the library generates a
  new blob from the XLS CFB container that works in XLSM and XLSB files.
- `codepage` is applied to BIFF2 - BIFF5 files without `CodePage` records and to
  CSV files without BOM in `type:"binary"`.  BIFF8 XLS always defaults to 1200.
- `PRN` affects parsing of text files without a common delimiter character.
- Currently only XOR encryption is supported.  Unsupported error will be thrown
  for files employing other encryption methods.
- Newer Excel functions are serialized with the `_xlfn.` prefix, hidden from the
  user. SheetJS will strip `_xlfn.` normally. The `xlfn` option preserves them.
- `WTF` is mainly for development.  By default, the parser will suppress read
  errors on single worksheets, allowing you to read from the worksheets that do
  parse properly. Setting `WTF:true` forces those errors to be thrown.
- By default, "sparse" mode worksheets are generated. Individual cells are
  accessed by indexing the worksheet object with an A1-Style address.  "dense"
  worksheets store cells in an array of arrays at `sheet["!data"]`.
- `UTC` applies to CSV, Text and HTML formats.  When explicitly set to `false`,
  the parsers will assume the files are specified in local time. By default, as
  is the case for other file formats, dates and times are interpreted in UTC.

### Input Type

Strings can be interpreted in multiple ways.  The `type` parameter for `read`
tells the library how to parse the data argument:

| `type`     | expected input                                                  |
|:-----------|:----------------------------------------------------------------|
| `"base64"` | string: Base64 encoding of the file                             |
| `"binary"` | string: binary string (byte `n` is `data.charCodeAt(n)`)        |
| `"string"` | string: JS string (only appropriate for UTF-8 text formats)     |
| `"buffer"` | nodejs Buffer                                                   |
| `"array"`  | array: array of 8-bit unsigned integers (byte `n` is `data[n]`) |
| `"file"`   | string: path of file that will be read (nodejs only)            |

Some common types are automatically deduced from the data input type, including
NodeJS `Buffer` objects, `Uint8Array` and `ArrayBuffer` objects, and arrays of
numbers.

When a JS `string` is passed with no `type`, the library assumes the data is a
Base64 string. `FileReader#readAsBinaryString` or ASCII data requires `"binary"`
type. DOM strings including `FileReader#readAsText` should use type `"string"`.

### Guessing File Type

<details>
  <summary><b>Implementation Details</b> (click to show)</summary>

Excel and other spreadsheet tools read the first few bytes and apply other
heuristics to determine a file type.  This enables file type punning: renaming
files with the `.xls` extension will tell your computer to use Excel to open the
file but Excel will know how to handle it.  This library applies similar logic:

| Byte 0 | Raw File Type | Spreadsheet Types                                   |
|:-------|:--------------|:----------------------------------------------------|
| `0xD0` | CFB Container | BIFF 5/8 or protected XLSX/XLSB or WQ3/QPW or XLR   |
| `0x09` | BIFF Stream   | BIFF 2/3/4/5                                        |
| `0x3C` | XML/HTML      | SpreadsheetML / Flat ODS / UOS1 / HTML / plain text |
| `0x50` | ZIP Archive   | XLSB or XLSX/M or ODS or UOS2 or NUMBERS or text    |
| `0x49` | Plain Text    | SYLK or plain text                                  |
| `0x54` | Plain Text    | DIF or plain text                                   |
| `0xEF` | UTF-8 Text    | SpreadsheetML / Flat ODS / UOS1 / HTML / plain text |
| `0xFF` | UTF-16 Text   | SpreadsheetML / Flat ODS / UOS1 / HTML / plain text |
| `0x00` | Record Stream | Lotus WK\* or Quattro Pro or plain text             |
| `0x7B` | Plain text    | RTF or plain text                                   |
| `0x0A` | Plain text    | SpreadsheetML / Flat ODS / UOS1 / HTML / plain text |
| `0x0D` | Plain text    | SpreadsheetML / Flat ODS / UOS1 / HTML / plain text |
| `0x20` | Plain text    | SpreadsheetML / Flat ODS / UOS1 / HTML / plain text |

DBF files are detected based on the first byte as well as the third and fourth
bytes (corresponding to month and day of the file date)

Works for Windows files are detected based on the `BOF` record with type `0xFF`

Plain text format guessing follows the priority order:

| Format | Test                                                                |
|:-------|:--------------------------------------------------------------------|
| XML    | `<?xml` appears in the first 1024 characters                        |
| HTML   | starts with `<` and HTML tags appear in the first 1024 characters * |
| XML    | starts with `<` and the first tag is valid                          |
| RTF    | starts with `{\rt`                                                  |
| DSV    | starts with `sep=` followed by field delimiter and line separator   |
| DSV    | more unquoted `\|` chars than `;` `\t` or `,` in the first 1024     |
| DSV    | more unquoted `;` chars than `\t` or `,` in the first 1024          |
| TSV    | more unquoted `\t` chars than `,` chars in the first 1024           |
| CSV    | one of the first 1024 characters is a comma `","`                   |
| ETH    | starts with `socialcalc:version:`                                   |
| PRN    | `PRN` option is set to true                                         |
| CSV    | (fallback)                                                          |

- HTML tags include: `html`, `table`, `head`, `meta`, `script`, `style`, `div`

</details>

<details open>
  <summary><b>Why are random text files valid?</b> (click to hide)</summary>

Excel is extremely aggressive in reading files.  Adding an XLS extension to any
display text file  (where the only characters are ANSI display chars) tricks
Excel into thinking that the file is potentially a CSV or TSV file, even if it
is only one column!  This library attempts to replicate that behavior.

The best approach is to validate the desired worksheet and ensure it has the
expected number of rows or columns.  Extracting the range is extremely simple:

```js
var range = XLSX.utils.decode_range(worksheet['!ref']);
var ncols = range.e.c - range.s.c + 1, nrows = range.e.r - range.s.r + 1;
```

</details>