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harshankur/officeParser

officeParser — Universal Office Document Parser & Generator

A robust, strictly-typed Node.js and Browser library for parsing office files into a rich Abstract Syntax Tree (AST) and generating high-fidelity output in multiple formats.

Parses: docx · pptx · xlsx · odt · odp · ods · pdf · rtf · csv · md · html

Generates: Markdown · HTML · CSV · RTF · PDF · Plain Text · RAG Chunks

npm version Total Downloads Weekly Downloads License: MIT


Upload any office file in your browser — inspect the AST, tweak config, and preview generated output in real-time.

  • AST Visualizer: Inspect the hierarchical node tree, metadata, and raw content
  • Config Configurator: Tweak options (ignoreNotes, ocr, newlineDelimiter) and see results instantly
  • Debugging: Identify exactly how nodes are interpreted
  • Format Specs: Read detailed specs for the AST structure and all config options


Table of Contents


Install via npm

npm i officeparser

Command Line Usage

# Full AST as JSON (default)
npx officeparser /path/to/file.docx

# Plain text output
npx officeparser /path/to/file.docx --format=text

# Convert DOCX to Markdown and save
npx officeparser report.docx --format=md --output=report.md

# Convert PPTX to HTML
npx officeparser presentation.pptx --format=html --output=preview.html

# Convert XLSX to CSV
npx officeparser data.xlsx --format=csv

# Generate RAG chunks
npx officeparser document.pdf --format=chunks

CLI Options

Flag Values Default Description
--format json|text|md|html|csv|rtf|pdf|chunks json Output format
--output path Write output to a file
--toText true|false false Deprecated. Use --format=text
--ignoreNotes true|false false Ignore speaker notes (PPTX/ODP)
--putNotesAtLast true|false false Collect notes at end of output
--newlineDelimiter string \n Delimiter between lines
--extractAttachments true|false false Extract images/charts as Base64
--ocr true|false false Enable OCR for images
--includeRawContent true|false false Include raw XML/RTF in nodes
--includeBreakNodes true|false false Include break nodes (DOCX only)
--outputErrorToConsole true|false false Deprecated. Use onWarning callback
--verbose true|false false Show full error stack traces

Quick Decision Guide

Goal API to use
Extract text / AST from a file OfficeParser.parseOffice(file)
Convert directly to another format OfficeConverter.convert(file, 'md')
Parse first, then generate parseOffice()OfficeGenerator.generate(ast, 'html')
Convert on the AST itself (shorthand) ast.to('md')
RAG pipeline chunking OfficeConverter.convert(file, 'chunks', {...})

Library Usage: Parsing

Async/Await

const officeParser = require('officeparser');

const ast = await officeParser.parseOffice('/path/to/file.docx');

console.log(ast.type);       // 'docx'
console.log(ast.metadata);   // { author, title, created, ... }
console.log(ast.content);    // Array of hierarchical nodes
console.log(ast.attachments);// Images/charts (if extractAttachments: true)
console.log(ast.warnings);   // Non-fatal issues from parsing phase

TypeScript (named import):

import { OfficeParser } from 'officeparser';

const ast = await OfficeParser.parseOffice('report.docx', {
    extractAttachments: true,
    ocr: true,
});

Callback (Backward Compat)

officeParser.parseOffice('/path/to/file.docx', function(ast, err) {
    if (err) { console.error(err); return; }
    console.log(ast.toText());
});

File Buffers & ArrayBuffers

Pass a Buffer, ArrayBuffer, or Uint8Array instead of a file path:

const fs = require('fs');
const buffer = fs.readFileSync('/path/to/file.pdf');
const ast = await officeParser.parseOffice(buffer);

Important

Text-based formats from buffers need a fileType hint. Formats like md, html, and csv have no magic bytes, so the parser cannot auto-detect them from a buffer. You must provide fileType in that case:

const ast = await officeParser.parseOffice(markdownBuffer, { fileType: 'md' });

ast.to() — Generate from AST

The preferred way to convert a parsed AST to another format. Returns a ConversionResult.

// ConversionResult shape:
// { value: string | Uint8Array | OfficeChunk[], messages: OfficeIssue[] }

const { value: markdown, messages } = await ast.to('md');
const { value: html }               = await ast.to('html', { includeFormatting: false });
const { value: chunks }             = await ast.to('chunks', { strategy: 'fixed-size', chunkSize: 800 });
const { value: pdfBytes }           = await ast.to('pdf'); // Uint8Array

ast.toText() — Quick Text Extraction

Note

toText() is synchronous and deprecated in favour of the async ast.to('text'). It remains available for backward compatibility.

const text = ast.toText(); // synchronous, returns plain string

OfficeGenerator

Use OfficeGenerator.generate(ast, format, config?) when you need to produce output from an already-parsed AST:

import { OfficeParser, OfficeGenerator } from 'officeparser';

const ast = await OfficeParser.parseOffice('report.docx');

// Convert to Markdown
const { value: md } = await OfficeGenerator.generate(ast, 'md');

// Convert to HTML with style mapping
const { value: html } = await OfficeGenerator.generate(ast, 'html', {
    includeFormatting: true,
    styleMap: [
        {
            selector: { nodeType: 'paragraph', attributes: { style: 'Heading 1' } },
            output: { tag: 'h1', classes: ['main-title'] }
        }
    ]
});

// Convert to CSV (spreadsheets)
const { value: csv } = await OfficeGenerator.generate(ast, 'csv');

Supported destinations: 'text' · 'md' · 'html' · 'csv' · 'rtf' · 'pdf' · 'chunks'

Note

PDF generation requires the optional puppeteer peer dependency:

npm install puppeteer

OfficeConverter — One-Step API

OfficeConverter.convert() combines parsing and generation in a single call. It automatically syncs parser options from generator config (e.g., enables extractAttachments when images are requested).

import { OfficeConverter } from 'officeparser';

// Minimal usage
const { value: markdown } = await OfficeConverter.convert('report.docx', 'md');

// With config
const { value: html, messages } = await OfficeConverter.convert('data.xlsx', 'html', {
    parseConfig: {
        ignoreNotes: true,
        newlineDelimiter: '\n\n',
    },
    generatorConfig: {
        includeFormatting: true,
        styleMap: [
            {
                selector: { attributes: { style: { value: 'Header', operator: '~=' } } },
                output: { tag: 'h2', classes: ['data-header'] }
            }
        ]
    },
    onWarning: (issue) => console.warn(`[${issue.code}] ${issue.message}`)
});

Important

The OfficeConverterConfig shape uses nested parseConfig and generatorConfig sub-objects. Do not put parser or generator options at the top level — only onWarning lives there.


Native RAG Chunking

officeParser provides native document chunking for Retrieval-Augmented Generation (RAG) pipelines with three strategies:

Strategy 1: Document Structure (Default)

Splits at natural AST boundaries (paragraphs, headings, pages, slides, sheets). Preserves logical flow.

const { value: chunks } = await OfficeConverter.convert('report.docx', 'chunks', {
    generatorConfig: {
        chunksConfig: {
            strategy: 'document-structure',
            splitBy: 'heading',    // 'paragraph' | 'heading' | 'page' | 'slide' | 'sheet'
            maxChunkSize: 1500,
            tableSplitStrategy: 'row', // repeats header row in every chunk — ideal for RAG
        }
    }
});

Strategy 2: Fixed-Size (Recursive)

Splits by character count with overlap. Equivalent to LangChain's RecursiveCharacterTextSplitter.

const { value: chunks } = await OfficeConverter.convert('report.docx', 'chunks', {
    generatorConfig: {
        chunksConfig: {
            strategy: 'fixed-size',
            chunkSize: 1000,
            chunkOverlap: 200,
        }
    }
});
console.log(`Generated ${chunks.length} chunks`);

Strategy 3: Semantic

Uses cosine similarity between sentence embeddings to find topic boundaries. Requires you to provide an embeddingFunction.

import OpenAI from 'openai';
const openai = new OpenAI();

const { value: chunks } = await OfficeConverter.convert('report.docx', 'chunks', {
    generatorConfig: {
        chunksConfig: {
            strategy: 'semantic',
            embeddingFunction: async (text) => {
                const res = await openai.embeddings.create({
                    input: text, model: 'text-embedding-3-small'
                });
                return res.data[0].embedding;
            },
            similarityThreshold: 0.8,
            maxChunkSize: 2000,
        }
    }
});

The OfficeChunk Object

Every chunk contains text and rich metadata for citations and filtered retrieval:

interface OfficeChunk {
    text: string;
    /** Rich metadata for filtered retrieval */
    metadata: {
        sourceType: string;       // e.g., 'docx', 'pdf'
        pageNumber?: number;      // (PDF only)
        slideNumber?: number;     // (PPTX only)
        sheetName?: string;       // (XLSX only)
        closestHeading?: string;  // Nearest heading above this chunk
        isTableChunk?: boolean;   // True if part of a split table
    };
    startIndex?: number;          // Character offset (if addStartIndex: true)
    endIndex?: number;            // End character offset (if addStartIndex: true)
}

The AST Structure

OfficeParserAST is a format-agnostic document representation:

OfficeParserAST
├── type: 'docx' | 'pdf' | 'xlsx' | 'csv' | 'md' | ...  (11 formats)
├── metadata: { author, title, created, modified, customProperties, styleMap, ... }
├── content: [ OfficeContentNode ]
│   ├── type: 'paragraph' | 'heading' | 'table' | 'list' | 'image' | 'chart' | ...
│   ├── text: string  (concatenated text of node + all descendants)
│   ├── children: [ OfficeContentNode ]  (recursive)
│   ├── formatting: { bold, italic, underline, color, size, font, alignment, ... }
│   └── metadata: { level, listId, row, col, rowSpan, colSpan, style, ... }
├── attachments: [ OfficeAttachment ]  (populated when extractAttachments: true)
│   ├── type: 'image' | 'chart'
│   ├── name: string
│   ├── mimeType: string
│   ├── data: string  (Base64)
│   ├── ocrText?: string  (if ocr: true)
│   └── chartData?: { title, dataSets, labels }
├── warnings: OfficeIssue[]  (non-fatal issues from the parsing phase)
├── to(format, config?)  (format: 'html'|'md'|'text'|'csv'|'rtf'|'pdf'|'chunks', returns { value, messages })
└── toText()             (Deprecated: use .to('text') instead)

OfficeIssue — Warning / Error Object

All warnings and errors (from both parsing and generation) use this shape:

interface OfficeIssue {
    type: 'warning' | 'info' | 'error';
    code: OfficeWarningType | OfficeErrorType;  // typed enum, e.g. 'OCR_FAILED'
    message: string;
    node?: OfficeContentNode;  // the node that triggered the issue, if any
    details?: any;             // original error or extra context
}

Deep Dive: Document Components

1. Lists

List Node
├── type: 'list'
├── metadata: {
│       listId: '1',          // items with the same listId belong to one logical list
│       listType: 'ordered' | 'unordered',
│       indentation: 0,       // nesting level (0-based)
│       itemIndex: 0,         // sequential position within the list level
│       paragraphIndentation: { left, hanging, right, firstLine }
│   }
└── children: [ Text content ]

Tip

Even if a list is interrupted by a regular paragraph, itemIndex keeps incrementing for the same listId, so numbering stays correct.

2. Tables

Tables follow a strict table → row → cell hierarchy:

Table Node (type: 'table')
└── children: Row Nodes (type: 'row')
    └── children: Cell Nodes (type: 'cell')
        ├── metadata: { row, col, rowSpan?, colSpan? }
        └── children: [ Paragraph | List | Table | ... ]
  • row / col: zero-based grid position
  • rowSpan / colSpan: merged cells (primarily ODF formats)
  • Cells can contain nested tables

3. Images & OCR

Image Node (type: 'image')
├── metadata: { attachmentName: 'img1.png', altText: '...' }
└── → Attachment: { data: 'base64...', ocrText: '...' }
  • Set extractAttachments: true to populate attachment.data
  • Set ocr: true (requires extractAttachments: true) to populate ocrText

4. Charts

Chart Node (type: 'chart')
├── metadata: { attachmentName: 'chart1.xml' }
└── → Attachment: { chartData: { title, dataSets, labels } }

5. Text Formatting

formatting: {
    bold?: boolean
    italic?: boolean
    underline?: boolean
    strikethrough?: boolean
    color?: string          // '#RRGGBB'
    backgroundColor?: string
    size?: string           // e.g. '12pt'
    font?: string
    subscript?: boolean
    superscript?: boolean
    alignment?: 'left' | 'center' | 'right' | 'justify'
}

6. Break Nodes (DOCX only)

When includeBreakNodes: true, break elements appear as nodes:

Break Node (type: 'break')
└── metadata: {
        breakType: 'textWrapping' | 'page' | 'column' | 'lastRenderedPage' | 'carriageReturn',
        clear?: 'all' | 'left' | 'none' | 'right'
    }

Note

Break nodes have no text property, but ast.toText() and ast.to('text') automatically convert them to the configured newline delimiter.

7. Document Metadata

ast.metadata = {
    author?: string
    title?: string
    created?: Date
    modified?: Date
    description?: string
    customProperties?: Record<string, any>  // user-defined metadata from the document
    styleMap?: Record<string, TextFormatting>  // named styles → formatting definitions
    formatting?: TextFormatting              // document-wide defaults
}

Accessing custom properties:

const ast = await officeParser.parseOffice('contract.docx');
console.log(ast.metadata.customProperties);
// { "ProjectID": "ABC-123", "InternalReview": true }

Performance Highlights

Key internal optimizations shipped in recent versions:

  • OpenOffice (ODP): Up to 23× faster parsing via optimized XML pre-parsing and style caching
  • Excel Memory: Resolved O(n) memory overhead on large sparse spreadsheets using iterative stream-based parsing
  • RTF Parser: Rewrote string accumulation loop to eliminate O(n²) bottleneck in large files
  • Table Fidelity (DOCX): Native support for vertical cell merging (vMerge) and horizontal spanning (gridSpan)

Advanced AST Usage

Extract all headings

const headings = ast.content.filter(n => n.type === 'heading' && n.metadata?.level === 1);
console.log(headings.map(h => h.text));

Extract images with OCR text

const ast = await officeParser.parseOffice('report.docx', { extractAttachments: true, ocr: true });
ast.attachments.filter(a => a.mimeType?.startsWith('image/')).forEach(img => {
    console.log(`${img.name}: ${img.ocrText ?? 'no OCR'}`);
});

Extract tables to CSV manually

ast.content.filter(n => n.type === 'table').forEach((table, i) => {
    const csv = table.children
        .filter(r => r.type === 'row')
        .map(r => r.children.filter(c => c.type === 'cell')
            .map(c => `"${c.text.replace(/"/g, '""')}"`)
            .join(','))
        .join('\n');
    console.log(`Table ${i + 1}:\n${csv}`);
});

Find all bold text runs

function findBold(nodes) {
    return nodes.flatMap(n => [
        ...(n.type === 'text' && n.formatting?.bold ? [n.text] : []),
        ...(n.children ? findBold(n.children) : [])
    ]);
}
console.log(findBold(ast.content));

Extract footnotes / endnotes

function extractNotes(nodes) {
    return nodes.flatMap(n => [
        ...(n.type === 'note' ? [{ id: n.metadata.noteId, text: n.text, type: n.metadata.noteType }] : []),
        ...(n.children ? extractNotes(n.children) : [])
    ]);
}
console.log(extractNotes(ast.content));

Search for a term (TypeScript)

import { OfficeParser } from 'officeparser';

async function contains(filePath: string, term: string): Promise<boolean> {
    const ast = await OfficeParser.parseOffice(filePath);
    return (await ast.to('text')).value.includes(term);
}

Configuration Reference

OfficeParserConfig

Pass as the second argument to parseOffice(file, config).

Option Type Default Description
newlineDelimiter string '\n' Delimiter inserted between lines in text output
ignoreNotes boolean false Ignore speaker notes (PPTX/ODP)
putNotesAtLast boolean false Collect all notes at the end instead of inline
extractAttachments boolean false Populate ast.attachments with Base64 images/charts
ocr boolean false Run Tesseract OCR on images (requires extractAttachments: true)
ocrConfig OcrConfig {} OCR worker pool settings — see OCR section
includeRawContent boolean false Attach raw XML/RTF source to each node
serializeRawContent boolean true Re-serialize XML to clean strings (only if includeRawContent: true)
preserveXmlWhitespace boolean false Preserve original XML whitespace during serialization
includeBreakNodes boolean false Include w:br / w:cr as typed break nodes (DOCX only)
ignoreInternalLinks boolean false Strip bookmarks and internal cross-references from AST
fileType SupportedFileType | null null Required for text-based binary data ('md', 'html', 'csv') as these lack magic bytes.
csvDelimiter string ',' Input delimiter when parsing CSV files
pdfWorkerSrc string CDN (jsDelivr) Path/URL to pdf.worker.min.mjs (required in browser)
onWarning (issue: OfficeIssue) => void Callback for non-fatal parsing issues
outputErrorToConsole boolean false Deprecated. Use onWarning instead

GeneratorConfig (Common)

Options shared by all generator formats. Pass to OfficeGenerator.generate(ast, format, config) or ast.to(format, config).

Option Type Default Description
includeFormatting boolean true Include bold/italic/colors/sizes in output
generateIds boolean true Add slug-based id attributes to headings
renderMetadata boolean false Render title/author as visible header block
includeImages boolean true Include image nodes in output
includeCharts boolean true Include interactive charts (HTML only)
ignoreInternalLinks boolean false Strip bookmarks and internal anchors from output
ignoreDefaultStyleMap boolean false Disable built-in style mappings (e.g., "Heading 1" → h1)
styleMap string[] | StructuredStyleMapping[] [] Custom semantic style mappings
onNode (node) => string | false | void Per-node callback for filtering, overriding, or mutating
onWarning (issue: OfficeIssue) => void Callback for non-fatal generation issues

onNode Callback — Advanced Node Manipulation

Called for every node in the AST during generation. Can be async.

Return value Effect
false Skip this node and all its children
string Use this string as the output for this node, skip default logic
void Proceed with default rendering (mutations to node are applied)
const { value: md } = await ast.to('md', {
    onNode: async (node) => {
        // Skip all images
        if (node.type === 'image') return false;

        // Redact secrets (mutate then proceed)
        if (node.text?.includes('SECRET_KEY')) {
            node.text = node.text.replace(/SECRET_KEY: \w+/, 'SECRET_KEY: [REDACTED]');
        }

        // Custom rendering for a specific style
        if (node.metadata?.style === 'Callout') {
            return `> [!INFO]\n> ${node.text}`;
        }
    }
});

styleMap — Semantic Style Mapping

Maps document style names to semantic output elements. Two formats supported:

Structured Objects (Recommended)

styleMap: [
    {
        selector: { nodeType: 'paragraph', attributes: { style: 'Heading 1' } },
        output: { tag: 'h1', classes: ['main-title'], attributes: { id: 'top' } }
    },
    {
        // '~=' operator matches if the word 'Quote' appears anywhere in the style name
        selector: { attributes: { style: { value: 'Quote', operator: '~=' } } },
        output: { tag: 'blockquote', fresh: true }
    }
]

fresh: true prevents the generator from merging adjacent nodes of the same tag into one block.

Legacy String DSL

Compatible with mammoth.js style maps:

styleMap: [
    "p[style-name='Heading 1'] => h1",
    "p[style~='Title'] => h2",
    "p[style-name='Quote'][lang='en'] => blockquote"
]

HtmlGeneratorConfig

Pass as htmlConfig inside GeneratorConfig.

Option Type Default Description
standalone boolean true Wrap output in a full <html> document with CSS
chartJsSrc string jsDelivr CDN URL for the Chart.js library

MdGeneratorConfig

Pass as mdConfig inside GeneratorConfig.

Option Type Default Description
fallbackToHtml boolean true Use HTML tags for features Markdown cannot represent (underlines, merged table cells, etc.)

PdfGeneratorConfig

Pass as pdfConfig inside GeneratorConfig. Requires the optional puppeteer peer dependency.

Option Type Default Description
format string 'A4' Paper format ('A4', 'Letter', 'Legal', etc.)
landscape boolean false Landscape page orientation
printBackground boolean true Print background graphics
margin object {0,0,0,0} Page margins (top, right, bottom, left)
displayHeaderFooter boolean false Show print header/footer
headerTemplate string '' HTML template for the print header
footerTemplate string '' HTML template for the print footer
scale number 1 Rendering scale factor
launchOptions object headless defaults Puppeteer launch options (e.g., executablePath)

CsvGeneratorConfig

Pass as csvConfig inside GeneratorConfig.

Option Type Default Description
sheets string '' Sheet range to export: '1', '1-3', '1,3' (1-based). Empty = all sheets
mergeSheets boolean true Merge all sheets into one CSV. If false, returns a ZIP archive
columnDelimiter string ',' Output column delimiter

TextGeneratorConfig

Pass as textConfig inside GeneratorConfig.

Option Type Default Description
newlineDelimiter string '\n' String inserted between structural blocks
preserveLayout boolean false Render tables with aligned columns using whitespace

OfficeConverterConfig

Configuration for OfficeConverter.convert(file, format, config).

Option Type Description
parseConfig OfficeParserConfig Settings for the parsing phase
generatorConfig GeneratorConfig Settings for the generation phase
onWarning (issue: OfficeIssue) => void Global warning callback (overrides phase-specific ones)

ChunkingConfig

ChunkingConfig is a discriminated union — the available options depend on the strategy field.

Common Options (all strategies)

Option Type Default Description
strategy string 'document-structure' Chunking strategy
stripWhitespace boolean true Trim leading/trailing whitespace from each chunk
includeMetadata boolean true Include page/slide/heading metadata in each chunk
addStartIndex boolean false Add startIndex character offset to chunk metadata
lengthFunction (text) => number text.length Custom size measurer (e.g., token counter)
sentenceBoundaryRegex string | RegExp /[.!?。!?]/ Custom regex for sentence boundary detection
abbreviations string[] common list Abbreviations to skip when splitting on .

strategy: 'fixed-size'

Option Type Default Description
chunkSize number 1000 Maximum characters per chunk
chunkOverlap number 200 Character overlap between consecutive chunks
separators string[] ['\n\n','\n',' ',''] Ordered list of separators to try

strategy: 'document-structure'

Option Type Default Description
splitBy string 'paragraph' 'paragraph' · 'heading' · 'page' · 'slide' · 'sheet'
maxChunkSize number 1000 Max characters per chunk (oversized units are split recursively)
tableSplitStrategy string 'row' 'row' (repeats header in each chunk) or 'flatten'

strategy: 'semantic'

Option Type Default Description
embeddingFunction (text) => Promise<number[]> required Async embedding function
similarityThreshold number 0.8 Cosine similarity threshold; lower = fewer boundaries
maxChunkSize number 2000 Max characters even if similarity stays high
bufferSize number 1 Surrounding sentences used when computing similarity
embeddingBatchSize number 50 Sentences per embedding API batch

OCR Scheduler & Resource Management

When ocr: true is set, officeParser maintains an intelligent Smart Worker Pool backed by Tesseract.js:

  • Dynamic Affinity: Workers persist with their last-used language, avoiding re-initialization overhead.
  • LRU Re-allocation: When a new language is requested and the pool is full, the Least Recently Used idle worker is re-initialized.
  • Auto-Termination: Workers shut down after 10 seconds of inactivity (configurable via ocrConfig.autoTerminateTimeout).

OCR Config (ocrConfig)

Option Type Default Description
language string 'eng' Tesseract language code(s), e.g. 'eng+fra'
workerPath string '' Custom path to Tesseract worker script
corePath string '' Custom path to Tesseract core script
langPath string '' Custom path for language data files
autoTerminateTimeout number 10000 Inactivity timeout in ms before auto-teardown (0 = disabled)

See all language codes at tesseract-ocr.github.io.

OfficeParser.terminateOcr()

In short-lived scripts (CLI tools, one-off automation), call terminateOcr() after processing to bypass the idle timer and exit immediately:

const officeParser = require('officeparser');

const ast = await officeParser.parseOffice('file.pdf', { ocr: true });
// ... process results ...
await officeParser.terminateOcr(); // immediate exit

Tip

The built-in CLI (npx officeparser ...) handles this automatically. Only call it manually in your own scripts.


Browser Usage

Two bundles are available in the dist/ directory:

Bundle Usage
officeparser.browser.mjs ESM — use with import statements or modern bundlers (Vite, Webpack, Next.js)
officeparser.browser.iife.js IIFE — use with a <script> tag; exposes the global officeParser object

ESM (Vite / Webpack / Next.js)

import { OfficeParser } from 'officeparser';

const handleFile = async (event) => {
    const file = event.target.files[0];
    const buffer = await file.arrayBuffer();
    const ast = await OfficeParser.parseOffice(new Uint8Array(buffer));
    console.log(ast.toText());
};

Script Tag

<script src="dist/officeparser.browser.iife.js"></script>
<script>
    async function handleFile(event) {
        const file = event.target.files[0];
        const buffer = await file.arrayBuffer();
        const ast = await officeParser.parseOffice(new Uint8Array(buffer));
        console.log(ast.toText());
    }
</script>

Note

File paths don't work in the browser. Always pass a Buffer, ArrayBuffer, or Uint8Array. Passing a path string will throw a descriptive FEATURE_NOT_SUPPORTED_IN_BROWSER error.

PDF Worker Configuration

When parsing PDFs in the browser, a Web Worker is required. If pdfWorkerSrc is omitted, a jsDelivr CDN link is used automatically:

// Uses default CDN worker:
const ast = await officeParser.parseOffice(pdfArrayBuffer);

// Or specify your own:
const ast = await officeParser.parseOffice(pdfArrayBuffer, {
    pdfWorkerSrc: 'https://cdn.jsdelivr.net/npm/pdfjs-dist@5.6.205/build/pdf.worker.min.mjs'
});

Note

The pdfjs-dist worker version must match the version bundled with officeparser (currently 5.6.205).


Troubleshooting & Common Issues

Symptom Fix
Node.js process stays alive after finishing Call await officeParser.terminateOcr() at end of script when OCR was used
"Worker not found" in browser for PDF Verify pdfWorkerSrc points to pdf.worker.min.mjs matching version 5.6.205
Low OCR accuracy Verify ocrConfig.language matches the document language; quality depends on image resolution
Out of memory on large Excel files Call ast.toText() early and discard the AST object to allow garbage collection
md/html/csv buffer not detected Add fileType: 'md' (or 'html', 'csv') to config — these formats have no magic bytes
IMPROPER_BUFFERS error Usually means no file extension and no fileType hint was provided for a buffer input
PDF generation fails Install the optional peer dependency: npm install puppeteer

For a full debugging guide, visit the Live Documentation.


Known Limitations

  1. ODT/ODS Charts: May show inaccurate data when the chart references external cell ranges or uses complex layout-based data.
  2. PDF Images (Browser): Extracted as BMP files for cross-platform compatibility. Conversion is automatic.
  3. RTF Notes: putNotesAtLast has no effect for RTF files; footnotes and endnotes are always appended at the end.

npm: https://npmjs.com/package/officeparser

github: https://github.com/harshankur/officeParser

Support the Project

If officeParser has helped you save time, consider supporting its continued development. Your sponsorship helps maintain the project, add new features, and keep it robust for everyone.

Buy Me A Coffee

Contributing

Contributions are welcome! Please see CONTRIBUTING.md for details.

License

This project is licensed under the MIT License — see the LICENSE file for details.

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A robust, strictly-typed Node.js and Browser library for parsing office files into a rich Abstract Syntax Tree (AST) and generating high-fidelity output in multiple formats. Parses: docx · pptx · xlsx · odt · odp · ods · pdf · rtf · csv · md · html. Generates: Markdown · HTML · CSV · RTF · PDF · Plain Text · RAG Chunks

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