xlsx

Parser and writer for various spreadsheet formats. Pure-JS cleanroom implementation from official specifications, related documents, and test files. Emphasis on parsing and writing robustness, cross-format feature compatibility with a unified JS representation, and ES3/ES5 browser compatibility back to IE6.

In-Browser Demo

Source Code

Commercial Support

Rendered Documentation

File format support for known spreadsheet data formats:

Installation
Parsing Workbooks
Working with the Workbook
Writing Workbooks
Interface
Common Spreadsheet Format
Parsing Options
- Input Type
- Guessing File Type
Writing Options
- Supported Output Formats
- Output Type
Utility Functions
File Formats
Testing
- Tested Environments
- Test Files
Contributing
- OSX/Linux
- Windows
License
References
Badges

Installation

With npm:

$ npm install xlsx

In the browser:

<script lang="javascript" src="dist/xlsx.core.min.js"></script>

With bower:

$ bower install js-xlsx

CDNjs automatically pulls the latest version and makes all versions available at http://cdnjs.com/libraries/xlsx

JS Ecosystem Demos

The demos directory includes sample projects for:

Optional Modules

The node version automatically requires modules for additional features. Some of these modules are rather large in size and are only needed in special circumstances, so they do not ship with the core. For browser use, they must be included directly:

<!-- international support from js-codepage -->
<script src="dist/cpexcel.js"></script>

An appropriate version for each dependency is included in the dist/ directory.

The complete single-file version is generated at dist/xlsx.full.min.js

Webpack and browserify builds include optional modules by default. Webpack can be configured to remove support with resolve.alias:

  /* uncomment the lines below to remove support */
  resolve: {
    alias: { "./dist/cpexcel.js": "" } // <-- omit international support
  }

ECMAScript 5 Compatibility

Since xlsx.js uses ES5 functions like Array#forEach, older browsers require Polyfills. This repo and the gh-pages branch include a shim

To use the shim, add the shim before the script tag that loads xlsx.js:

<script type="text/javascript" src="/path/to/shim.js"></script>

Parsing Workbooks

For parsing, the first step is to read the file. This involves acquiring the data and feeding it into the library. Here are a few common scenarios:

node readFile:

if(typeof require !== 'undefined') XLSX = require('xlsx');
var workbook = XLSX.readFile('test.xlsx');
/* DO SOMETHING WITH workbook HERE */

Browser DOM Table element:

var worksheet = XLSX.utils.table_to_book(document.getElementById('tableau'));
/* DO SOMETHING WITH workbook HERE */

ajax (for a more complete example that works in older browsers, check the demo at http://oss.sheetjs.com/js-xlsx/ajax.html):

/* set up XMLHttpRequest */
var url = "test_files/formula_stress_test_ajax.xlsx";
var oReq = new XMLHttpRequest();
oReq.open("GET", url, true);
oReq.responseType = "arraybuffer";

oReq.onload = function(e) {
  var arraybuffer = oReq.response;

  /* convert data to binary string */
  var data = new Uint8Array(arraybuffer);
  var arr = new Array();
  for(var i = 0; i != data.length; ++i) arr[i] = String.fromCharCode(data[i]);
  var bstr = arr.join("");

  /* Call XLSX */
  var workbook = XLSX.read(bstr, {type:"binary"});

  /* DO SOMETHING WITH workbook HERE */
}

oReq.send();

HTML5 drag-and-drop using readAsBinaryString or readAsArrayBuffer: note: readAsBinaryString and readAsArrayBuffer may not be available in every browser. Use dynamic feature tests to determine which method to use.

/* processing array buffers, only required for readAsArrayBuffer */
function fixdata(data) {
  var o = "", l = 0, w = 10240;
  for(; l<data.byteLength/w; ++l) o+=String.fromCharCode.apply(null,new Uint8Array(data.slice(l*w,l*w+w)));
  o+=String.fromCharCode.apply(null, new Uint8Array(data.slice(l*w)));
  return o;
}

var rABS = true; // true: readAsBinaryString ; false: readAsArrayBuffer
/* set up drag-and-drop event */
function handleDrop(e) {
  e.stopPropagation();
  e.preventDefault();
  var files = e.dataTransfer.files;
  var i,f;
  for (i = 0; i != files.length; ++i) {
    f = files[i];
    var reader = new FileReader();
    var name = f.name;
    reader.onload = function(e) {
      var data = e.target.result;

      var workbook;
      if(rABS) {
        /* if binary string, read with type 'binary' */
        workbook = XLSX.read(data, {type: 'binary'});
      } else {
        /* if array buffer, convert to base64 */
        var arr = fixdata(data);
        workbook = XLSX.read(btoa(arr), {type: 'base64'});
      }

      /* DO SOMETHING WITH workbook HERE */
    };
    if(rABS) reader.readAsBinaryString(f);
    else reader.readAsArrayBuffer(f);
  }
}
drop_dom_element.addEventListener('drop', handleDrop, false);

HTML5 input file element using readAsBinaryString or readAsArrayBuffer:

/* fixdata and rABS are defined in the drag and drop example */
function handleFile(e) {
  var files = e.target.files;
  var i,f;
  for (i = 0; i != files.length; ++i) {
    f = files[i];
    var reader = new FileReader();
    var name = f.name;
    reader.onload = function(e) {
      var data = e.target.result;

      var workbook;
      if(rABS) {
        /* if binary string, read with type 'binary' */
        workbook = XLSX.read(data, {type: 'binary'});
      } else {
        /* if array buffer, convert to base64 */
        var arr = fixdata(data);
        workbook = XLSX.read(btoa(arr), {type: 'base64'});
      }

      /* DO SOMETHING WITH workbook HERE */
    };
    reader.readAsBinaryString(f);
  }
}
input_dom_element.addEventListener('change', handleFile, false);

Working with the Workbook

The full object format is described later in this README.

This example extracts the value stored in cell A1 from the first worksheet:

var first_sheet_name = workbook.SheetNames[0];
var address_of_cell = 'A1';

/* Get worksheet */
var worksheet = workbook.Sheets[first_sheet_name];

/* Find desired cell */
var desired_cell = worksheet[address_of_cell];

/* Get the value */
var desired_value = (desired_cell ? desired_cell.v : undefined);

Complete examples:

http://oss.sheetjs.com/js-xlsx/ HTML5 File API / Base64 Text / Web Workers

Note that older versions of IE do not support HTML5 File API, so the base64 mode is used for testing. On OSX you can get the base64 encoding with:

$ <target_file base64 | pbcopy

On Windows XP and up you can get the base64 encoding using certutil:

> certutil -encode target_file target_file.b64

(note: You have to open the file and remove the header and footer lines)

http://oss.sheetjs.com/js-xlsx/ajax.html XMLHttpRequest
https://github.com/SheetJS/js-xlsx/blob/master/bin/xlsx.njs node

The node version installs a command line tool xlsx which can read spreadsheet files and output the contents in various formats. The source is available at xlsx.njs in the bin directory.

Some helper functions in XLSX.utils generate different views of the sheets:

XLSX.utils.sheet_to_csv generates CSV
XLSX.utils.sheet_to_json generates an array of objects
XLSX.utils.sheet_to_formulae generates a list of formulae

Writing Workbooks

For writing, the first step is to generate output data. The helper functions write and writeFile will produce the data in various formats suitable for dissemination. The second step is to actual share the data with the end point. Assuming workbook is a workbook object:

nodejs write to file:

/* output format determined by filename */
XLSX.writeFile(workbook, 'out.xlsx');
/* at this point, out.xlsx is a file that you can distribute */

browser generate binary blob and "download" to client (using FileSaver.js for download):

/* bookType can be 'xlsx' or 'xlsm' or 'xlsb' or 'ods' */
var wopts = { bookType:'xlsx', bookSST:false, type:'binary' };

var wbout = XLSX.write(workbook,wopts);

function s2ab(s) {
  var buf = new ArrayBuffer(s.length);
  var view = new Uint8Array(buf);
  for (var i=0; i!=s.length; ++i) view[i] = s.charCodeAt(i) & 0xFF;
  return buf;
}

/* the saveAs call downloads a file on the local machine */
saveAs(new Blob([s2ab(wbout)],{type:"application/octet-stream"}), "test.xlsx");

Complete examples:

http://sheetjs.com/demos/writexlsx.html generates a simple file
http://git.io/WEK88Q writing an array of arrays in nodejs
http://sheetjs.com/demos/table.html exporting an HTML table

Interface

XLSX is the exposed variable in the browser and the exported node variable

XLSX.version is the version of the library (added by the build script).

XLSX.SSF is an embedded version of the format library.

Parsing functions

XLSX.read(data, read_opts) attempts to parse data.

XLSX.readFile(filename, read_opts) attempts to read filename and parse.

Parse options are described in the Parsing Options section.

Writing functions

XLSX.write(wb, write_opts) attempts to write the workbook wb

XLSX.writeFile(wb, filename, write_opts) attempts to write wb to filename

XLSX.writeFileAsync(filename, wb, o, cb) attempts to write wb to filename. If o is omitted, the writer will use the third argument as the callback.

Write options are described in the Writing Options section.

Utilities

Utilities are available in the XLSX.utils object:

Importing:

aoa_to_sheet converts an array of arrays of JS data to a worksheet.

Exporting:

sheet_to_json converts a worksheet object to an array of JSON objects. sheet_to_row_object_array is an alias that will be removed in the future.
sheet_to_csv generates delimiter-separated-values output.
sheet_to_formulae generates a list of the formulae (with value fallbacks).

Exporters are described in the Utility Functions section.

Cell and cell address manipulation:

format_cell generates the text value for a cell (using number formats)
{en,de}code_{row,col} convert between 0-indexed rows/cols and A1 forms.
{en,de}code_cell converts cell addresses
{en,de}code_range converts cell ranges

Common Spreadsheet Format

js-xlsx conforms to the Common Spreadsheet Format (CSF):

General Structures

Cell address objects are stored as {c:C, r:R} where C and R are 0-indexed column and row numbers, respectively. For example, the cell address B5 is represented by the object {c:1, r:4}.

Cell range objects are stored as {s:S, e:E} where S is the first cell and E is the last cell in the range. The ranges are inclusive. For example, the range A3:B7 is represented by the object {s:{c:0, r:2}, e:{c:1, r:6}}. Utils use the following pattern to walk each of the cells in a range:

for(var R = range.s.r; R <= range.e.r; ++R) {
  for(var C = range.s.c; C <= range.e.c; ++C) {
    var cell_address = {c:C, r:R};
  }
}

Cell Object

Key	Description
`v`	raw value (see Data Types section for more info)
`w`	formatted text (if applicable)
`t`	cell type: `b` Boolean, `n` Number, `e` error, `s` String, `d` Date
`f`	cell formula encoded as an A1-style string (if applicable)
`F`	range of enclosing array if formula is array formula (if applicable)
`r`	rich text encoding (if applicable)
`h`	HTML rendering of the rich text (if applicable)
`c`	comments associated with the cell
`z`	number format string associated with the cell (if requested)
`l`	cell hyperlink object (.Target holds link, .Tooltip is tooltip)
`s`	the style/theme of the cell (if applicable)

Built-in export utilities (such as the CSV exporter) will use the w text if it is available. To change a value, be sure to delete cell.w (or set it to undefined) before attempting to export. The utilities will regenerate the w text from the number format (cell.z) and the raw value if possible.

The actual array formula is stored in the f field of the first cell in the array range. Other cells in the range will omit the f field.

Data Types

The raw value is stored in the v field, interpreted based on the t field.

Type b is the Boolean type. v is interpreted according to JS truth tables.

Type e is the Error type. v holds the number and w holds the common name:

Value	Error Meaning
`0x00`	`#NULL!`
`0x07`	`#DIV/0!`
`0x0F`	`#VALUE!`
`0x17`	`#REF!`
`0x1D`	`#NAME?`
`0x24`	`#NUM!`
`0x2A`	`#N/A`
`0x2B`	`#GETTING_DATA`

Type n is the Number type. This includes all forms of data that Excel stores as numbers, such as dates/times and Boolean fields. Excel exclusively uses data that can be fit in an IEEE754 floating point number, just like JS Number, so the v field holds the raw number. The w field holds formatted text. Dates are stored as numbers by default and converted with XLSX.SSF.parse_date_code.

Type d is the Date type, generated only when the option cellDates is passed. Since JSON does not have a natural Date type, parsers are generally expected to store ISO 8601 Date strings like you would get from date.toISOString(). On the other hand, writers and exporters should be able to handle date strings and JS Date objects. Note that Excel disregards timezone modifiers and treats all dates in the local timezone. js-xlsx does not correct for this error.

Type s is the String type. v should be explicitly stored as a string to avoid possible confusion.

Type z represents blank stub cells. These do not have any data or type, and are not processed by any of the core library functions. By default these cells will not be generated; the parser sheetStubs option must be set to true.

Dates

By default, Excel stores dates as numbers with a format code that specifies date processing. For example, the date 19-Feb-17 is stored as the number 42785 with a number format of d-mmm-yy. The SSF module understands number formats and performs the appropriate conversion.

XLSX also supports a special date type d where the data is an ISO 8601 date string. The formatter converts the date back to a number.

The default behavior for all parsers is to generate number cells. Setting cellDates to true will force the generators to store dates.

Sheet Objects

Each key that does not start with ! maps to a cell (using A-1 notation)

sheet[address] returns the cell object for the specified address.

Special sheet keys (accessible as sheet[key], each starting with !):

sheet['!ref']: A-1 based range representing the sheet range. Functions that work with sheets should use this parameter to determine the range. Cells that are assigned outside of the range are not processed. In particular, when writing a sheet by hand, cells outside of the range are not included

Functions that handle sheets should test for the presence of !ref field. If the !ref is omitted or is not a valid range, functions are free to treat the sheet as empty or attempt to guess the range. The standard utilities that ship with this library treat sheets as empty (for example, the CSV output is empty string).

When reading a worksheet with the sheetRows property set, the ref parameter will use the restricted range. The original range is set at ws['!fullref']

Worksheet Object

In addition to the base sheet keys, worksheets also add:

ws['!cols']: array of column properties objects. Column widths are actually stored in files in a normalized manner, measured in terms of the "Maximum Digit Width" (the largest width of the rendered digits 0-9, in pixels). When parsed, the column objects store the pixel width in the wpx field, character width in the wch field, and the maximum digit width in the MDW field.
ws['!merges']: array of range objects corresponding to the merged cells in the worksheet. Plaintext utilities are unaware of merge cells. CSV export will write all cells in the merge range if they exist, so be sure that only the first cell (upper-left) in the range is set.
ws['protect']: object of write sheet protection properties. The password key specifies the password. The writer uses the XOR obfuscation method. The following keys control the sheet protection (same as ECMA-376 18.3.1.85):

key	functionality disabled if value is true
`selectLockedCells`	Select locked cells
`selectUnlockedCells`	Select unlocked cells
`formatCells`	Format cells
`formatColumns`	Format columns
`formatRows`	Format rows
`insertColumns`	Insert columns
`insertRows`	Insert rows
`insertHyperlinks`	Insert hyperlinks
`deleteColumns`	Delete columns
`deleteRows`	Delete rows
`sort`	Sort
`autoFilter`	Filter
`pivotTables`	Use PivotTable reports
`objects`	Edit objects
`scenarios`	Edit scenarios

ws['!autofilter']: AutoFilter object following the schema:

type AutoFilter = {
	ref:string; // A-1 based range representing the AutoFilter table range
}

Chartsheet Object

Chartsheets are represented as standard sheets. They are distinguished with the !type property set to "chart".

The underlying data and !ref refer to the cached data in the chartsheet. The first row of the chartsheet is the underlying header.

Workbook Object

workbook.SheetNames is an ordered list of the sheets in the workbook

wb.Sheets[sheetname] returns an object representing the worksheet.

wb.Props is an object storing the standard properties. wb.Custprops stores custom properties. Since the XLS standard properties deviate from the XLSX standard, XLS parsing stores core properties in both places.

wb.WBProps includes more workbook-level properties:

Excel supports two epochs (January 1 1900 and January 1 1904), see 1900 vs. 1904 Date System. The workbook's epoch can be determined by examining the workbook's wb.WBProps.date1904 property.

Workbook File Properties

The various file formats use different internal names for file properties. The workbook Props object normalizes the names:

JS Name	Excel Description
Title	Summary tab "Title"
Subject	Summary tab "Subject"
Author	Summary tab "Author"
Manager	Summary tab "Manager"
Company	Summary tab "Company"
Category	Summary tab "Category"
Keywords	Summary tab "Keywords"
Comments	Summary tab "Comments"
LastAuthor	Statistics tab "Last saved by"
CreatedDate	Statistics tab "Created"

For example, to set the workbook title property:

if(!wb.Props) wb.Props = {};
wb.Props.Title = "Insert Title Here";

Custom properties are added in the workbook Custprops object:

if(!wb.Custprops) wb.Custprops = {};
wb.Custprops["Custom Property"] = "Custom Value";

Writers will process the Props key of the options object:

/* force the Author to be "SheetJS" */
XLSX.write(wb, {Props:{Author:"SheetJS"}});

Document Features

Even for basic features like date storage, the official Excel formats store the same content in different ways. The parsers are expected to convert from the underlying file format representation to the Common Spreadsheet Format. Writers are expected to convert from CSF back to the underlying file format.

Formulae

The A1-style formula string is stored in the f field. Even though different file formats store the formulae in different ways, the formats are translated. Even though some formats store formulae with a leading equal sign, CSF formulae do not start with =.

The worksheet representation of A1=1, A2=2, A3=A1+A2:

{
	"!ref": "A1:A3",
	A1: { t:'n', v:1 },
	A2: { t:'n', v:2 },
	A3: { t:'n', v:3, f:'A1+A2' }
}

Shared formulae are decompressed and each cell has the formula corresponding to its cell. Writers generally do not attempt to generate shared formulae.

Cells with formula entries but no value will be serialized in a way that Excel and other spreadsheet tools will recognize. This library will not automatically compute formula results! For example, to compute BESSELJ in a worksheet:

{
	"!ref": "A1:A3",
	A1: { t:'n', v:3.14159 },
	A2: { t:'n', v:2 },
	A3: { t:'n', f:'BESSELJ(A1,A2)' }
}

Array Formulae

Array formulae are stored in the top-left cell of the array block. All cells of an array formula have a F field corresponding to the range. A single-cell formula can be distinguished from a plain formula by the presence of F field.

For example, setting the cell C1 to the array formula {=SUM(A1:A3*B1:B3)}:

worksheet['C1'] = { t:'n', f: "SUM(A1:A3*B1:B3)", F:"C1:C1" };

For a multi-cell array formula, every cell has the same array range but only the first cell has content. Consider D1:D3=A1:A3*B1:B3:

worksheet['D1'] = { t:'n', F:"D1:D3", f:"A1:A3*B1:B3" };
worksheet['D2'] = { t:'n', F:"D1:D3" };
worksheet['D3'] = { t:'n', F:"D1:D3" };

Utilities and writers are expected to check for the presence of a F field and ignore any possible formula element f in cells other than the starting cell. They are not expected to perform validation of the formulae!

Formula Output

The sheet_to_formulae method generates one line per formula or array formula. Array formulae are rendered in the form range=formula while plain cells are rendered in the form cell=formula or value. Note that string literals are prefixed with an apostrophe ', consistent with Excel's formula bar display.

Formulae File Format Details

Storage Representation	Formats	Read	Write
A1-style strings	XLSX	⭕	⭕
RC-style strings	XLML and plaintext	⭕	⭕
BIFF Parsed formulae	XLSB and all XLS formats	⭕
OpenFormula formulae	ODS/FODS/UOS	⭕	⭕

Since Excel prohibits named cells from colliding with names of A1 or RC style cell references, a (not-so-simple) regex conversion is possible. BIFF Parsed formulae have to be explicitly unwound. OpenFormula formulae can be converted with regexes for the most part.

Column Properties

Excel internally stores column widths in a nebulous "Max Digit Width" form. The Max Digit Width is the width of the largest digit when rendered. The internal width must be an integer multiple of the the width divided by 256. ECMA-376 describes a formula for converting between pixels and the internal width.

Given the constraints, it is possible to determine the MDW without actually inspecting the font! The parsers guess the pixel width by converting from width to pixels and back, repeating for all possible MDW and selecting the MDW that minimizes the error. XLML actually stores the pixel width, so the guess works in the opposite direction.

The !cols array in each worksheet, if present, is a collection of ColInfo objects which have the following properties:

type ColInfo = {
	MDW?:number;  // Excel's "Max Digit Width" unit, always integral
	width:number; // width in Excel's "Max Digit Width", width*256 is integral
	wpx?:number;  // width in screen pixels
	wch?:number;  // intermediate character calculation
};

Even though all of the information is made available, writers are expected to follow the priority order:

use width field if available
use wpx pixel width if available
use wch character count if available

Hyperlinks

Hyperlinks are stored in the l key of cell objects. The Target field of the hyperlink object is the target of the link, including the URI fragment. Tooltips are stored in the Tooltip field and are displayed when you move your mouse over the text.

For example, the following snippet creates a link from cell A3 to http://sheetjs.com with the tip "Find us @ SheetJS.com!":

ws['A3'].l = { Target:"http://sheetjs.com", Tooltip:"Find us @ SheetJS.com!" };

Note that Excel does not automatically style hyperlinks -- they will generally be displayed as normal text.

Cell Comments

Cell comments are objects stored in the c array of cell objects. The actual contents of the comment are split into blocks based on the comment author. The a field of each comment object is the author of the comment and the t field is the plaintext representation.

For example, the following snippet appends a cell comment into cell A1:

if(!ws.A1.c) ws.A1.c = [];
ws.A1.c.push({a:"SheetJS", t:"I'm a little comment, short and stout!"});

Note: XLSB enforces a 54 character limit on the Author name. Names longer than 54 characters may cause issues with other formats.

Sheet Visibility

Excel enables hiding sheets in the lower tab bar. The sheet data is stored in the file but the UI does not readily make it available. Standard hidden sheets are revealed in the unhide menu. Excel also has "very hidden" sheets which cannot be revealed in the menu. It is only accessible in the VB Editor!

The visibility setting is stored in the Hidden property of the sheet props array. The values are:

Value	Definition
0	Visible
1	Hidden
2	Very Hidden

With https://rawgit.com/SheetJS/test_files/master/sheet_visibility.xlsx:

> wb.Workbook.Sheets.map(function(x) { return [x.name, x.Hidden] })
[ [ 'Visible', 0 ], [ 'Hidden', 1 ], [ 'VeryHidden', 2 ] ]

Non-Excel formats do not support the Very Hidden state. The best way to test if a sheet is visible is to check if the Hidden property is logical truth:

> wb.Workbook.Sheets.map(function(x) { return [x.name, !x.Hidden] })
[ [ 'Visible', true ], [ 'Hidden', false ], [ 'VeryHidden', false ] ]

Parsing Options

The exported read and readFile functions accept an options argument:

Option Name	Default	Description
type		Input data encoding (see Input Type below)
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
cellDates	false	Store dates as type `d` (default is `n`)
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, expose vbaProject.bin to `vbaraw` field **
password	""	If defined and file is encrypted, use password **
WTF	false	If true, throw errors on unexpected file features **

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.
bookSheets and bookProps combine to give both sets of information
Deps will be an empty object if bookDeps is falsy
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)
bookVBA merely exposes the raw vba object. It does not parse the data.
Currently only XOR encryption is supported. Unsupported error will be thrown for files employing other encryption methods.
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:1 forces those errors to be thrown.

The defaults are enumerated in bits/84_defaults.js

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 (`n`-th byte is `data.charCodeAt(n)`)
`"buffer"`	nodejs Buffer
`"array"`	array: array of 8-bit unsigned int (`n`-th byte is `data[n]`)
`"file"`	string: filename that will be read and processed (nodejs only)

Guessing File Type

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 password-protected XLSX/XLSB or WQ3/QPW
`0x09`	BIFF Stream	BIFF 2/3/4/5
`0x3C`	XML/HTML	SpreadsheetML / Flat ODS / UOS1 / HTML / plaintext
`0x50`	ZIP Archive	XLSB or XLSX/M or ODS or UOS2 or plaintext
`0x49`	Plain Text	SYLK or plaintext
`0x54`	Plain Text	DIF or plaintext
`0xFE`	UTF16 Encoded	SpreadsheetML or Flat ODS or UOS1 or plaintext
`0x00`	Record Stream	Lotus WK* or Quattro Pro or plaintext

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)

Plaintext format guessing follows the priority order:

Format	Test
XML	starts with <
DSV	starts with `/sep=.$/`, separator is the specified character
TSV	one of the first 1024 characters is a tab char `"\t"`
CSV	one of the first 1024 characters is a comma char `","`
PRN	(default)

Writing Options

The exported write and writeFile functions accept an options argument:

Option Name	Default	Description
type		Output data encoding (see Output Type below)
cellDates	`false`	Store dates as type `d` (default is `n`)
bookSST	`false`	Generate Shared String Table **
bookType	`"xlsx"`	Type of Workbook (see below for supported formats)
sheet	`""`	Name of Worksheet for single-sheet formats **
compression	`false`	Use ZIP compression for ZIP-based formats **
Props		Override workbook properties when writing **

bookSST is slower and more memory intensive, but has better compatibility with older versions of iOS Numbers
The raw data is the only thing guaranteed to be saved. Features not described in this README may not be serialized.
cellDates only applies to XLSX output and is not guaranteed to work with third-party readers. Excel itself does not usually write cells with type d so non-Excel tools may ignore the data or blow up in the presence of dates.
Props is an object mirroring the workbook Props field. See the table from the Workbook File Properties section.

Supported Output Formats

For broad compatibility with third-party tools, this library supports many output formats. The specific file type is controlled with bookType option:

bookType	file ext	container	sheets	Description
`xlsx`	`.xlsx`	ZIP	multi	Excel 2007+ XML Format
`xlsm`	`.xlsm`	ZIP	multi	Excel 2007+ Macro XML Format
`xlsb`	`.xlsb`	ZIP	multi	Excel 2007+ Binary Format
`biff2`	`.xls`	none	single	Excel 2.0 Worksheet format
`xlml`	`.xls`	none	multi	Excel 2003-2004 (SpreadsheetML)
`ods`	`.ods`	ZIP	multi	OpenDocument Spreadsheet
`fods`	`.fods`	none	multi	Flat OpenDocument Spreadsheet
`csv`	`.csv`	none	single	Comma Separated Values
`txt`	`.txt`	none	single	UTF-16 Unicode Text (TXT)
`sylk`	`.sylk`	none	single	Symbolic Link (SYLK)
`dif`	`.dif`	none	single	Data Interchange Format (DIF)
`prn`	`.prn`	none	single	Lotus Formatted Text

compression only applies to formats with ZIP containers.
Formats that only support a single sheet require a sheet option specifying the worksheet. If the string is empty, the first worksheet is used.
writeFile will automatically guess the output file format based on the file extension if bookType is not specified. It will choose the first format in the aforementioned table that matches the extension.

Output Type

The type argument for write mirrors the type argument for read:

`type`	output
`"base64"`	string: base64 encoding of the file
`"binary"`	string: binary string (`n`-th byte is `data.charCodeAt(n)`)
`"buffer"`	nodejs Buffer
`"file"`	string: name of file to be written (nodejs only)

Utility Functions

The sheet_to_* functions accept a worksheet and an optional options object.

The *_to_sheet functions accept a data object and an optional options object.

The examples are based on the following worksheet:

XXX| A | B | C | D | E | F | G |
---+---+---+---+---+---+---+---+
 1 | S | h | e | e | t | J | S |
 2 | 1 | 2 | 3 | 4 | 5 | 6 | 7 |
 3 | 2 | 3 | 4 | 5 | 6 | 7 | 8 |

Array of Arrays Input

XLSX.utils.aoa_to_sheet takes an array of arrays of JS values and returns a worksheet resembling the input data. Numbers, Booleans and Strings are stored as the corresponding styles. Dates are stored as date or numbers. Array holes and explicit undefined values are skipped. null values may be stubbed. All other values are stored as strings. The function takes an options argument:

Option Name	Default	Description
dateNF	fmt 14	Use specified date format in string output
cellDates	false	Store dates as type `d` (default is `n`)
sheetStubs	false	Create cell objects of type `z` for `null` values

To generate the example sheet:

var ws = XLSX.utils.aoa_to_sheet([
	"SheetJS".split(""),
	[1,2,3,4,5,6,7],
	[2,3,4,5,6,7,8]
]);

HTML Table Input

XLSX.utils.table_to_sheet takes a table DOM element and returns a worksheet resembling the input table. Numbers are parsed. All other data will be stored as strings.

XLSX.utils.table_to_book produces a minimal workbook based on the worksheet.

To generate the example sheet, start with the HTML table:

<table id="sheetjs">
<tr><td>S</td><td>h</td><td>e</td><td>e</td><td>t</td><td>J</td><td>S</td></tr>
<tr><td>1</td><td>2</td><td>3</td><td>4</td><td>5</td><td>6</td><td>7</td></tr>
<tr><td>2</td><td>3</td><td>4</td><td>5</td><td>6</td><td>7</td><td>8</td></tr>
</table>

To process the table:

var tbl = document.getElementById('sheetjs');
var wb = XLSX.utils.table_to_book(tbl);

Note: XLSX.read can handle HTML represented as strings.

Formulae Output

XLSX.utils.sheet_to_formulae generates an array of commands that represent how a person would enter data into an application. Each entry is of the form A1-cell-address=formula-or-value. String literals are prefixed with a ' in accordance with Excel. For the example sheet:

> var o = XLSX.utils.sheet_to_formulae(ws);
> o.filter(function(v, i) { return i % 5 === 0; });
[ 'A1=\'S', 'F1=\'J', 'D2=4', 'B3=3', 'G3=8' ]

Delimiter-Separated Output

As an alternative to the writeFile CSV type, XLSX.utils.sheet_to_csv also produces CSV output. The function takes an options argument:

Option Name	Default	Description
FS	`","`	"Field Separator" delimiter between fields
RS	`"\n"`	"Record Separator" delimiter between rows
dateNF	fmt 14	Use specified date format in string output
strip	false	Remove trailing field separators in each record **
blankrows	true	Include blank lines in the CSV output

strip will remove trailing commas from each line under default FS/RS
blankrows must be set to false to skip blank lines.

For the example sheet:

> console.log(XLSX.utils.sheet_to_csv(ws));
S,h,e,e,t,J,S
1,2,3,4,5,6,7
2,3,4,5,6,7,8
> console.log(XLSX.utils.sheet_to_csv(ws, {FS:"\t"}));
S	h	e	e	t	J	S
1	2	3	4	5	6	7
2	3	4	5	6	7	8
> console.log(X.utils.sheet_to_csv(_ws,{FS:":",RS:"|"}));
S:h:e:e:t:J:S|1:2:3:4:5:6:7|2:3:4:5:6:7:8|

UTF-16 Unicode Text

The txt output type uses the tab character as the field separator. If the codepage library is available (included in the full distribution but not core), the output will be encoded in codepage 1200 and the BOM will be prepended.

JSON

XLSX.utils.sheet_to_json and the alias XLSX.utils.sheet_to_row_object_array generate different types of JS objects. The function takes an options argument:

Option Name	Default	Description
raw	`false`	Use raw values (true) or formatted strings (false)
range	from WS	Override Range (see table below)
header		Control output format (see table below)
dateNF	fmt 14	Use specified date format in string output
defval		Use specified value in place of null or undefined
blankrows	**	Include blank lines in the output **

raw only affects cells which have a format code (.z) field or a formatted text (.w) field.
If header is specified, the first row is considered a data row; if header is not specified, the first row is the header row and not considered data.
When header is not specified, the conversion will automatically disambiguate header entries by affixing _ and a count starting at 1. For example, if three columns have header foo the output fields are foo, foo_1, foo_2
null values are returned when raw is true but are skipped when false.
If defval is not specified, null and undefined values are skipped normally. If specified, all null and undefined points will be filled with defval
When header is 1, the default is to generate blank rows. blankrows must be set to false to skip blank rows.
When header is not 1, the default is to skip blank rows. blankrows must be truthy to generate blank rows

range is expected to be one of:

`range`	Description
(number)	Use worksheet range but set starting row to the value
(string)	Use specified range (A1-style bounded range string)
(default)	Use worksheet range (`ws['!ref']`)

header is expected to be one of:

`header`	Description
`1`	Generate an array of arrays
`"A"`	Row object keys are literal column labels
array of strings	Use specified strings as keys in row objects
(default)	Read and disambiguate first row as keys

If header is not 1, the row object will contain the non-enumerable property __rowNum__ that represents the row of the sheet corresponding to the entry.

For the example sheet:

> console.log(X.utils.sheet_to_json(_ws));
[ { S: 1, h: 2, e: 3, e_1: 4, t: 5, J: 6, S_1: 7 },
  { S: 2, h: 3, e: 4, e_1: 5, t: 6, J: 7, S_1: 8 } ]

> console.log(X.utils.sheet_to_json(_ws, {header:1}));
[ [ 'S', 'h', 'e', 'e', 't', 'J', 'S' ],
  [ 1, 2, 3, 4, 5, 6, 7 ],
  [ 2, 3, 4, 5, 6, 7, 8 ] ]

> console.log(X.utils.sheet_to_json(_ws, {header:"A"}));
[ { A: 'S', B: 'h', C: 'e', D: 'e', E: 't', F: 'J', G: 'S' },
  { A: 1, B: 2, C: 3, D: 4, E: 5, F: 6, G: 7 },
  { A: 2, B: 3, C: 4, D: 5, E: 6, F: 7, G: 8 } ]
> console.log(X.utils.sheet_to_json(_ws, {header:["A","E","I","O","U","6","9"]}));
[ { '6': 'J', '9': 'S', A: 'S', E: 'h', I: 'e', O: 'e', U: 't' },
  { '6': 6, '9': 7, A: 1, E: 2, I: 3, O: 4, U: 5 },
  { '6': 7, '9': 8, A: 2, E: 3, I: 4, O: 5, U: 6 } ]

Example showing the effect of raw:

> _ws['A2'].w = "1";                         // set A2 formatted string value
> console.log(X.utils.sheet_to_json(_ws, {header:1}));
[ [ 'S', 'h', 'e', 'e', 't', 'J', 'S' ],
  [ '1', 2, 3, 4, 5, 6, 7 ],                 // <-- A2 uses the formatted string
  [ 2, 3, 4, 5, 6, 7, 8 ] ]
> console.log(X.utils.sheet_to_json(_ws, {header:1, raw:true}));
[ [ 'S', 'h', 'e', 'e', 't', 'J', 'S' ],
  [ 1, 2, 3, 4, 5, 6, 7 ],                   // <-- A2 uses the raw value
  [ 2, 3, 4, 5, 6, 7, 8 ] ]

File Formats

Despite the library name xlsx, it supports numerous spreadsheet file formats:

Format	Read	Write
Excel Worksheet/Workbook Formats	:-----:	:-----:
Excel 2007+ XML Formats (XLSX/XLSM)	⭕	⭕
Excel 2007+ Binary Format (XLSB BIFF12)	⭕	⭕
Excel 2003-2004 XML Format (XML "SpreadsheetML")	⭕	⭕
Excel 97-2004 (XLS BIFF8)	⭕
Excel 5.0/95 (XLS BIFF5)	⭕
Excel 4.0 (XLS/XLW BIFF4)	⭕
Excel 3.0 (XLS BIFF3)	⭕
Excel 2.0/2.1 (XLS BIFF2)	⭕	⭕
Excel Supported Text Formats	:-----:	:-----:
Delimiter-Separated Values (CSV/TXT)	⭕	⭕
Data Interchange Format (DIF)	⭕	⭕
Symbolic Link (SYLK/SLK)	⭕	⭕
Lotus Formatted Text (PRN)	⭕	⭕
UTF-16 Unicode Text (TXT)	⭕	⭕
Other Workbook/Worksheet Formats	:-----:	:-----:
OpenDocument Spreadsheet (ODS)	⭕	⭕
Flat XML ODF Spreadsheet (FODS)	⭕	⭕
Uniform Office Format Spreadsheet (标文通 UOS1/UOS2)	⭕
dBASE II/III/IV / Visual FoxPro (DBF)	⭕
Lotus 1-2-3 (WKS/WK1/WK2/WK3/WK4/123)	⭕
Quattro Pro Spreadsheet (WQ1/WQ2/WB1/WB2/WB3/QPW)	⭕
Other Common Spreadsheet Output Formats	:-----:	:-----:
HTML Tables	⭕

Excel 2007+ XML (XLSX/XLSM)

XLSX and XLSM files are ZIP containers containing a series of XML files in accordance with the Open Packaging Conventions (OPC). The XLSM filetype, almost identical to XLSX, is used for files containing macros.

The format is standardized in ECMA-376 and later in ISO/IEC 29500. Excel does not follow the specification, and there are additional documents discussing how Excel deviates from the specification.

Excel 2.0-95 (BIFF2/BIFF3/BIFF4/BIFF5)

BIFF 2/3 XLS are single-sheet streams of binary records. Excel 4 introduced the concept of a workbook (XLW files) but also had single-sheet XLS format. The structure is largely similar to the Lotus 1-2-3 file formats. BIFF5/8/12 extended the format in various ways but largely stuck to the same record format.

There is no official specification for any of these formats. Excel 95 can write files in these formats, so record lengths and fields were backsolved by writing in all of the supported formats and comparing files. Excel 2016 can generate BIFF5 files, enabling a full suite of file tests starting from XLSX or BIFF2.

Excel 97-2004 Binary (BIFF8)

BIFF8 exclusively uses the Compound File Binary container format, splitting some content into streams within the file. At its core, it still uses an extended version of the binary record format from older versions of BIFF.

The MS-XLS specification covers the basics of the file format, and other specifications expand on serialization of features like properties.

Excel 2003-2004 (SpreadsheetML)

Predating XLSX, SpreadsheetML files are simple XML files. There is no official and comprehensive specification, although MS has released whitepapers on the format. Since Excel 2016 can generate SpreadsheetML files, backsolving is pretty straightforward.

Excel 2007+ Binary (XLSB, BIFF12)

Introduced in parallel with XLSX, the XLSB filetype combines BIFF architecture with the content separation and ZIP container of XLSX. For the most part nodes in an XLSX sub-file can be mapped to XLSB records in a corresponding sub-file.

The MS-XLSB specification covers the basics of the file format, and other specifications expand on serialization of features like properties.

Delimiter-Separated Values (CSV/TXT)

Excel CSV deviates from RFC4180 in a number of important ways. The generated CSV files should generally work in Excel although they may not work in RFC4180 compatible readers. The parser should generally understand Excel CSV.

Excel TXT uses tab as the delimiter and codepage 1200.

Other Workbook Formats

Support for other formats is generally far XLS/XLSB/XLSX support, due in large part to a lack of publicly available documentation. Test files were produced in the respective apps and compared to their XLS exports to determine structure. The main focus is data extraction.

Lotus 1-2-3 (WKS/WK1/WK2/WK3/WK4/123)

The Lotus formats consist of binary records similar to the BIFF structure. Lotus did release a whitepaper decades ago covering the original WK1 format. Other features were deduced by producing files and comparing to Excel support.

Quattro Pro (WQ1/WQ2/WB1/WB2/WB3/QPW)

The Quattro Pro formats use binary records in the same way as BIFF and Lotus. Some of the newer formats (namely WB3 and QPW) use a CFB enclosure just like BIFF8 XLS.

OpenDocument Spreadsheet (ODS/FODS)

ODS is an XML-in-ZIP format akin to XLSX while FODS is an XML format akin to SpreadsheetML. Both are detailed in the OASIS standard, but tools like LO/OO add undocumented extensions.

Uniform Office Spreadsheet (UOS1/2)

UOS is a very similar format, and it comes in 2 varieties corresponding to ODS and FODS respectively. For the most part, the difference between the formats lies in the names of tags and attributes.

Other Single-Worksheet Formats

Many older formats supported only one worksheet:

dBASE and Visual FoxPro (DBF)

DBF is really a typed table format: each column can only hold one data type and each record omits type information. The parser generates a header row and inserts records starting at the second row of the worksheet.

Multi-file extensions like external memos and tables are currently unsupported, limited by the general ability to read arbitrary files in the web browser.

Symbolic Link (SYLK)

There is no real documentation. All knowledge was gathered by saving files in various versions of Excel to deduce the meaning of fields.

Lotus Formatted Text (PRN)

There is no real documentation, and in fact Excel treats PRN as an output-only file format. Nevertheless we can guess the column widths and reverse-engineer the original layout.

Data Interchange Format (DIF)

There is no unified definition. Visicalc DIF differs from Lotus DIF, and both differ from Excel DIF. Where ambiguous, the parser/writer follows the expected behavior from Excel.

HTML

Excel HTML worksheets include special metadata encoded in styles. For example, mso-number-format is a localized string containing the number format. Despite the metadata the output is valid HTML, although it does accept bare & symbols.

Testing

make test will run the node-based tests. By default it runs tests on files in every supported format. To test a specific file type, set FMTS to the format you want to test. Feature-specific tests are avaialble with make test_misc

$ make test        # run full tests
$ make test_xls    # only use the XLS test files
$ make test_xlsx   # only use the XLSX test files
$ make test_xlsb   # only use the XLSB test files
$ make test_xml    # only use the XLSB test files
$ make test_ods    # only use the XLSB test files

To enable all errors, set the environment variable WTF=1:

$ make test        # run full tests
$ WTF=1 make test  # enable all error messages

Flow and JSHint/JSCS checks are available:

$ make lint        # JSHint and JSCS checks
$ make flow        # make lint + Flow checking

The core in-browser tests are available at tests/test.html within this repo. Start a local server and navigate to that directory to run the tests.

To run the full in-browser tests, clone the repo for oss.sheetjs.com and replace the xlsx.js file (then fire up the browser and go to stress.html):

$ cp xlsx.js ../SheetJS.github.io
$ cd ../SheetJS.github.io
$ simplehttpserver # or "python -mSimpleHTTPServer" or "serve"
$ open -a Chromium.app http://localhost:8000/stress.html

Tested Environments

NodeJS 0.8, 0.9, 0.10, 0.11, 0.12, 4.x, 5.x, 6.x, 7.x
IE 6/7/8/9/10/11 (IE6-9 browsers require shims for interacting with client)
Chrome 24+
Safari 6+
FF 18+

Tests utilize the mocha testing framework. Travis-CI and Sauce Labs links:

https://travis-ci.org/SheetJS/js-xlsx for XLSX module in nodejs
https://semaphoreci.com/sheetjs/js-xlsx for XLSX module in nodejs
https://travis-ci.org/SheetJS/SheetJS.github.io for XLS* modules
https://saucelabs.com/u/sheetjs for XLS* modules using Sauce Labs

Test Files

Test files are housed in another repo.

Running make init will refresh the test_files submodule and get the files.

Contributing

Due to the precarious nature of the Open Specifications Promise, it is very important to ensure code is cleanroom. Consult CONTRIBUTING.md

OSX/Linux

The xlsx.js file is constructed from the files in the bits subdirectory. The build script (run make) will concatenate the individual bits to produce the script. Before submitting a contribution, ensure that running make will produce the xlsx.js file exactly. The simplest way to test is to add the script:

$ git add xlsx.js
$ make clean
$ make
$ git diff xlsx.js

To produce the dist files, run make dist. The dist files are updated in each version release and should not be committed between versions.

Windows

The included make.cmd script will build xlsx.js from the bits directory. Building is as simple as:

> make.cmd

To prepare dev environment:

> npm install -g mocha
> npm install
> mocha -t 30000

The normal approach uses a variety of command line tools to grab the test files. For windows users, please download the latest version of the test files snapshot from github

Latest test files snapshot: https://github.com/SheetJS/test_files/releases/download/20170409/test_files.zip

Download and unzip to the test_files subdirectory.

License

Please consult the attached LICENSE file for details. All rights not explicitly granted by the Apache 2.0 License are reserved by the Original Author.

References

ISO/IEC 29500:2012(E) "Information technology — Document description and processing languages — Office Open XML File Formats"

OSP-covered specifications:

[MS-XLSB]: Excel (.xlsb) Binary File Format
[MS-XLSX]: Excel (.xlsx) Extensions to the Office Open XML SpreadsheetML File Format
[MS-OE376]: Office Implementation Information for ECMA-376 Standards Support
[MS-CFB]: Compound File Binary File Format
[MS-XLS]: Excel Binary File Format (.xls) Structure Specification
[MS-ODATA]: Open Data Protocol (OData)
[MS-OFFCRYPTO]: Office Document Cryptography Structure
[MS-OLEDS]: Object Linking and Embedding (OLE) Data Structures
[MS-OLEPS]: Object Linking and Embedding (OLE) Property Set Data Structures
[MS-OSHARED]: Office Common Data Types and Objects Structures
[MS-ODRAW]: Office Drawing Binary File Format
[MS-ODRAWXML]: Office Drawing Extensions to Office Open XML Structure
[MS-OVBA]: Office VBA File Format Structure
[MS-CTXLS]: Excel Custom Toolbar Binary File Format
[MS-XLDM]: Spreadsheet Data Model File Format
[MS-EXSPXML3]: Excel Calculation Version 2 Web Service XML Schema
[XLS]: Microsoft Office Excel 97-2007 Binary File Format Specification
[MS-OI29500]: Office Implementation Information for ISO/IEC 29500 Standards Support

Open Document Format for Office Applications Version 1.2 (29 September 2011)

Worksheet File Format (From Lotus) December 1984

Name		Name	Last commit message	Last commit date
Latest commit History 234 Commits
bin		bin
bits		bits
demos		demos
dist		dist
docbits		docbits
misc		misc
test_files @ 6a9e589		test_files @ 6a9e589
tests		tests
.flowconfig		.flowconfig
.gitignore		.gitignore
.gitmodules		.gitmodules
.jscs.json		.jscs.json
.jshintrc		.jshintrc
.npmignore		.npmignore
.travis.yml		.travis.yml
CHANGELOG.md		CHANGELOG.md
CONTRIBUTING.md		CONTRIBUTING.md
LICENSE		LICENSE
Makefile		Makefile
README.md		README.md
book.json		book.json
bower.json		bower.json
formats.dot		formats.dot
formats.png		formats.png
index.html		index.html
jszip.js		jszip.js
legend.png		legend.png
make.cmd		make.cmd
multiformat.lst		multiformat.lst
package.json		package.json
shim.js		shim.js
test.js		test.js
testA.lst		testA.lst
tests.lst		tests.lst
xlsx.flow.js		xlsx.flow.js
xlsx.js		xlsx.js
xlsxworker.flow.js		xlsxworker.flow.js
xlsxworker.js		xlsxworker.js
xlsxworker1.flow.js		xlsxworker1.flow.js
xlsxworker1.js		xlsxworker1.js
xlsxworker2.flow.js		xlsxworker2.flow.js
xlsxworker2.js		xlsxworker2.js

License

AbrarJahin/Excel-Reader-JS

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xlsx

Table of Contents

Installation

JS Ecosystem Demos

Optional Modules

ECMAScript 5 Compatibility

Parsing Workbooks

Working with the Workbook

Writing Workbooks

Interface

Parsing functions

Writing functions

Utilities

Common Spreadsheet Format

General Structures

Cell Object

Data Types

Dates

Sheet Objects

Worksheet Object

Chartsheet Object

Workbook Object

Workbook File Properties

Document Features

Formulae

Column Properties

Hyperlinks

Cell Comments

Sheet Visibility

Parsing Options

Input Type

Guessing File Type

Writing Options

Supported Output Formats

Output Type

Utility Functions

Array of Arrays Input

HTML Table Input

Formulae Output

Delimiter-Separated Output

UTF-16 Unicode Text

JSON

File Formats

Excel 2007+ XML (XLSX/XLSM)

Excel 2.0-95 (BIFF2/BIFF3/BIFF4/BIFF5)

Excel 97-2004 Binary (BIFF8)

Excel 2003-2004 (SpreadsheetML)

Excel 2007+ Binary (XLSB, BIFF12)

Delimiter-Separated Values (CSV/TXT)

Other Workbook Formats

Lotus 1-2-3 (WKS/WK1/WK2/WK3/WK4/123)

Quattro Pro (WQ1/WQ2/WB1/WB2/WB3/QPW)

OpenDocument Spreadsheet (ODS/FODS)

Uniform Office Spreadsheet (UOS1/2)

Other Single-Worksheet Formats

dBASE and Visual FoxPro (DBF)

Symbolic Link (SYLK)

Lotus Formatted Text (PRN)

Data Interchange Format (DIF)

HTML

Testing

Tested Environments

Test Files

Contributing

OSX/Linux

Windows

License

References

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