Best PDF Software for Node.js

Compare the Top PDF Software that integrates with Node.js as of April 2026

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This a list of PDF software that integrates with Node.js. Use the filters on the left to add additional filters for products that have integrations with Node.js. View the products that work with Node.js in the table below.

What is PDF Software for Node.js?

PDF software refers to a range of tools designed for working with PDF (Portable Document Format) files, which are widely used for document sharing and storage. These tools offer a variety of functions, such as creating, viewing, editing, converting, securing, and managing PDF files. PDF software can be used for tasks like merging or splitting documents, adding annotations, filling out forms, applying digital signatures, and securing documents with passwords or encryption. It is commonly utilized across industries for document collaboration, official documentation, and data exchange due to its universal compatibility and ability to maintain formatting across different platforms. Compare and read user reviews of the best PDF software for Node.js currently available using the table below. This list is updated regularly.

1

pdfRest

Datalogics Inc.

pdfRest API Toolkit was made by developers, for developers. Rapidly integrate PDF workflows with any business application, simply and seamlessly. pdfRest API Toolkit includes all of the PDF processing tools you'll need, to make your job easy. PDF to Word, Excel, PowerPoint, Image, Add to PDF, Query PDF, Extract Text, Convert to PDF, Convert to PDF/A, PDF/X, Compress PDF, Linearize PDF, Flatten Forms, Transparencies, Annotations, Layers, Merge /Split PDF, Encrypt/Decrypt PDF, Restrict PDF, Watermark PDF, Sign PDF, Redact PDF, Import/Export Form Data, Rasterize PDF, PDF to Markdown, XFA to Acroforms, Set Page Box, Create Blank PDF, Delete PDF, Convert PDF Colors, OCR PDF, API Polling, Upload Files, Zip Files. Get up and running fast with the pdfRest Postman Collection or start from functional sample code in NodeJS, .NET, JavaScript, Python, PHP, and cURL from the pdfRest GitHub repository. Gold-standard processing powered by Adobe® PDF Library™ ensures the highest quality results.

35 Ratings

Starting Price: $0 per month

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2

pdfRest API Toolkit Self-Hosted

Datalogics Inc.

pdfRest API Toolkit Self-Hosted is available on the AWS Marketplace and can be spun up in just a few clicks. Self-host a production ready server to integrate the PDF processing API Toolkit into your own service or to automate your internal document workflow. Watermark PDF, Add to PDF, Query PDF, Convert to PDF, PDF to Images, Convert PDF Colors, Convert to PDF/A, Convert to PDF/X, Compress PDF, Linearize PDF, Flatten Annotations, Flatten Layers, Flatten Transparencies, Merge PDFs, Split PDF, Encrypt PDF, Decrypt PDF, Restrict PDF, Extract Text, OCR PDF, Upload Files, Zip Files. Maintain full control with a dedicated EC2-based RESTful API with scalable performance to meet your needs. Built with Adobe PDF Library, the same technology that powers Adobe Acrobat, and developed by Datalogics, globally-trusted document processing experts for over 50 years, pdfRest has the gold-standard API Toolkit for high-quality PDF processing.

1 Rating

Starting Price: $0.242 per hour

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3

PyMuPDF

Artifex

PyMuPDF is a high-performance, Python-centric library for reading, extracting, and manipulating PDFs with ease and precision. It enables developers to access text, images, fonts, annotations, metadata, and structural layout of PDF documents, and to perform tasks such as extracting content, editing objects, rendering pages, searching text, modifying page content, and manipulating PDF components like links and annotations. PyMuPDF also supports advanced operations like splitting, merging, inserting, or deleting pages; drawing and filling shapes; handling color spaces; and converting between formats. The library is lightweight but robust, optimized for speed and low memory overhead. On top of the base PyMuPDF, PyMuPDF Pro adds support for reading and writing Microsoft Office-format documents and enhanced functionality for integrating Large Language Model (LLM) pipelines and Retrieval Augmented Generation (RAG).

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