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Free Library to Read & Extract Data from Word Document

Open Source Node.js Library to Efficiently Parse as well as Process Word Documents and Extract text from .DOC and .DOCX Files inside Node.js apps.

What is Node-Word-Extractor?

When it comes to working with Word documents, being able to read and pull text from different file types is crucial. Node-Word-Extractor, an open-source library created by Morungos, is a great tool for this task. Specifically designed for Node.js, this library offers a simple and effective method for extracting text from Microsoft Word documents in a server-side JavaScript setup. It can handle both old .doc files and newer .docx formats, ensuring seamless compatibility with a wide range of Word documents.

The Node-Word-Extractor tool is made for loading and parsing Microsoft Word files to extract text in a Node.js environment. It’s a handy tool for software developers working on tasks like text data manipulation, content management, data migration, and document indexing. With strong error handling support, the tool smoothly manages any problems that may arise during text extraction, making it easier for you to work on your projects without interruptions and build reliable applications.

The Node-Word-Extractor library stands out for its simplicity and user-friendly design. Developers like you can easily add this library to your projects and begin extracting text content in no time with just a few lines of code. Whether you’re a beginner or an experienced developer, this tool is perfect for simplifying your text extraction tasks. Being an open-source project, it gets better with contributions and feedback from the community. If you are a developer, you can report problems, propose new features, or add to the code through the project’s GitHub repository. Whether you are creating a content management system, handling data migrations, or crafting text analysis tools, this library can make your work smoother and improve what your application can do.

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Getting Started with Node-Word-Extractor

To install Node-Word-Extractor library, you can use npm, the package manager for JavaScript. Please use the following commands for a successful installation.

Install Node-Word-Extractor library via npm

 npm install node-word-extractor  

Extract Text from Word Document in Node.js

The open source Node-Word-Extractor library gives software developers complete power for loading an existing Word document and extract text from it inside Node.js application. There are several useful method provided for the smooth retrieval of data, such as retrieving content text from a Word document, retrieving footnote and endnote text, retrieving the header and footer text, retrieving the comment bubble text, retrieving the textbox content-text and many more. Here is a simple example that shows how software developer can retrieve text from a Word documents inside Node.js applications.

How to Extract Text from a Word Document in Node.js?

const extractor = require('node-word-extractor');
const extractorInstance = new extractor();

extractorInstance.extract("path/to/your/document.docx").then(function(doc) {
    console.log(doc.getBody());
}).catch(function(err) {
    console.error("Error extracting text: ", err);
});

Advanced Text Processing in Node.js

The open source Node-Word-Extractor library makes it easy for software developers to retrieve and further process text from word documents. The library provides more advanced features for developers who need to perform additional processing on the extracted text. For example, the library allows access to metadata and supports extraction of specific parts of the document, such as headers, footers, comments, textbox content and many more.

Better Community Support

As an open-source project, the Node-Word-Extractor library benefits from community contributions and feedback. Software professionals and Developers can report issues, suggest features, or contribute to the codebase via the project's GitHub repository. This collaborative approach ensures that the library evolves to meet the needs of its users.