Best JavaScript PDF libraries 2025: A complete guide to viewers, generators, and enterprise solutions

Why library choice matters

The wrong PDF library leads to:

• Performance bottlenecks with large or complex PDFs
• Missing functionality requiring fragile workarounds
• Compliance gaps in regulated industries
• Poor mobile experience with client-heavy rendering
• Hidden costs from internal development and maintenance

Quick comparison of popular libraries

PDF generation libraries

1. PDFKit — Low-level programmatic control

PDFKit(opens in a new tab) is a Node.js library for programmatic PDF generation with low-level control over document structure.

Best use cases:

• Server-side invoice or report generation in Node.js
• Graphics-heavy PDFs (charts, paths, vector drawings, branding assets)
• Large document streaming directly to clients via HTTP responses

Key features:

• Full programmatic API for text, images, vector shapes, and custom fonts
• Streaming support for efficient handling of large documents
• Works primarily in Node.js, but can run in the browser via bundlers (Browserify/webpack/Rollup)
• Supports encryption, embedded fonts, and precise layout control

// Node.js example: Generate and stream a PDF to disk.
const fs = require("fs");
const PDFDocument = require("pdfkit");

const doc = new PDFDocument({ size: "A4", margin: 50 });
doc.pipe(fs.createWriteStream("output.pdf"));

doc.fontSize(20).text("Hello PDFKit!", 100, 100);
doc.addPage().fontSize(16).text("Second page content", 50, 50);

doc.end();

Note: Tables and templates require custom helpers with PDFKit. pdfmake provides these through its JSON API.

2. pdfmake — Declarative syntax

pdfmake(opens in a new tab) extends PDFKit with a declarative JSON API that handles layout, pagination, and styling automatically.

Best use cases:

• Invoices, receipts, and pay slips
• Reports or catalogs generated from tabular data
• Applications needing consistent headers, footers, and multipage layouts
• Teams that prefer a configuration-driven model over manual drawing

Key features:

• Declarative document definitions with arrays and objects
• Built-in support for tables, lists, images, and headers/footers
• Automatic pagination and page breaks
• Embeds custom fonts with Unicode and RTL support
• Works in both browser and Node.js with the same API

// Example: declarative invoice with pdfmake.
const docDefinition = {
  content: [
    { text: "Invoice", style: "header" },
    {
      table: {
        body: [
          ["Item", "Qty", "Price"],
          ["Widget A", "2", "$10.00"],
          ["Widget B", "1", "$15.00"],
        ],
      },
    },
  ],
  styles: {
    header: { fontSize: 22, bold: true },
  },
};

pdfMake.createPdf(docDefinition).download("invoice.pdf");

Getting started:

npm install pdfmake

Then import and call pdfMake.createPdf() with your document definition. For browser-only projects, you can also load it via CDN.

3. jsPDF — Client-side simplicity

jsPDF(opens in a new tab) generates PDFs directly in the browser with no dependencies — useful for client-side exports without server roundtrips.

Unlike PDFKit or pdfmake, jsPDF focuses on quick output, not complex layouts.

Best use cases:

• Client-side form submissions that generate a PDF instantly
• Simple invoices, tickets, or confirmations downloaded directly by the user
• Prototypes or MVPs requiring minimal setup
• Frontend projects that need offline PDF creation with no server roundtrips

Key features:

• Works entirely in the browser, with optional Node.js support
• Generate text, images, and vector shapes with a simple API
• Plugin ecosystem (e.g. autotable) for tables, pagination, and HTML rendering
• Supports page orientation, margins, and basic styling options
• Small size (~150 KB minified) for efficient bundling

// Basic example.
import { jsPDF } from "jspdf";

const doc = new jsPDF();
doc.text("Hello World!", 10, 10);
doc.save("document.pdf");

Example with a table (using jspdf-autotable):

import { jsPDF } from "jspdf";
import "jspdf-autotable";

const doc = new jsPDF();
doc.autoTable({
  head: [["Item", "Quantity", "Price"]],
  body: [["Widget A", "2", "$10.00"]],
});
doc.save("invoice.pdf");

4. Puppeteer — HTML to PDF

Puppeteer(opens in a new tab) controls headless Chrome from Node.js. Use it when you need pixel-perfect PDFs from existing HTML/CSS templates.

Unlike PDFKit or pdfmake, Puppeteer reuses existing web designs for PDFs.

Best use cases:

• Exporting HTML reports, invoices, or dashboards without rebuilding layouts
• Rendering JavaScript-heavy pages (SPAs, charts, maps) before saving to PDF
• Pixel-perfect PDFs with CSS control (grid, flexbox, web fonts, print media queries)
• Automated workflows: batch exporting, scheduled snapshots, CI/CD pipelines

Key features:

• Full support for modern HTML5, CSS3, and client-side JavaScript
• Convert entire webpages or specific DOM elements into PDF
• Customizable PDF output (margins, headers/footers, background graphics, page size)
• Can run in headless mode for automation or in full Chrome for debugging

import puppeteer from "puppeteer";

const browser = await puppeteer.launch();
const page = await browser.newPage();

await page.goto("https://example.com", { waitUntil: "networkidle0" });
await page.pdf({
  path: "example.pdf",
  format: "A4",
  printBackground: true,
});

await browser.close();

For a practical example, check out our blog on how to generate a PDF from HTML with Node.js.

5. PDF-lib — Creation and manipulation

PDF-lib(opens in a new tab) handles both PDF generation and modification in the browser and Node.js environments without native dependencies.

Best use cases:

• Generating custom PDFs from scratch (reports, receipts, lightweight exports)
• Filling PDF forms (applications, contracts, HR onboarding)
• Adding digital signatures, watermarks, or images
• Merging or splitting multiple PDFs
• Editing or extending predesigned templates

Key features:

• Create new PDFs programmatically with pages, text, fonts, images, and vector graphics
• Load and modify existing PDF documents
• Fill AcroForms and programmatically set field values
• Insert pages or overlay images and shapes
• Merge and split PDFs without external binaries
• Supports both ES modules and CommonJS in modern toolchains

import { PDFDocument } from "pdf-lib";

// Load an existing PDF and fill a form field.
const existingBytes = await fetch("/form.pdf").then((res) => res.arrayBuffer());
const pdfDoc = await PDFDocument.load(existingBytes);

const form = pdfDoc.getForm();
form.getTextField("name").setText("Alice Example");

const pdfBytes = await pdfDoc.save();
// `pdfBytes` can be downloaded in the browser or written to disk in Node.js.

• How to build a JavaScript PDF editor with PDF-lib
• How to fill PDF forms in Node.js
• How to capture signatures in JavaScript

PDF viewing libraries

Viewing existing PDFs requires different considerations than generation, such as:

• How interactive should the viewer be? (read-only vs. annotations vs. full editing)
• What level of performance do you need? (simple documents vs. 500 MB financial reports)
• What are your compliance and budget requirements? (free OSS vs. enterprise-grade security and support)

Three libraries dominate this space.

1. PDF.js — Mozilla’s open source standard

PDF.js(opens in a new tab) is Mozilla’s open source PDF viewer, originally built for Firefox. With 42k GitHub stars, it’s the standard for basic PDF rendering.

It renders PDFs onto HTML5 <canvas> with a text layer for search and copy-paste.

Key capabilities:

• Cross-browser compatibility across all modern browsers
• Canvas-based rendering with solid fidelity for most documents
• Selectable text layer, enabling search and copy-paste
• Basic annotation viewing (read-only, no edits)
• Native print support

Limitations:

• Read-only — No annotation editing, form filling, or collaboration
• Performance bottlenecks with very large or graphics-heavy PDFs
• Customization overhead — Modifying the default viewer UI often requires editing source code
• No enterprise features like permissions, redaction, or audit logs

Code example — Minimal viewer:

<canvas id="pdf-canvas"></canvas>

<script type="module">
  import * as pdfjsLib from "https://cdn.jsdelivr.net/npm/pdfjs-dist@5.4.149/+esm";

  // Set worker.
  pdfjsLib.GlobalWorkerOptions.workerSrc =
    "https://cdn.jsdelivr.net/npm/pdfjs-dist@5.4.149/build/pdf.worker.min.mjs";

  const url = "example.pdf"; // Put your PDF in the same folder.
  const canvas = document.getElementById("pdf-canvas");
  const ctx = canvas.getContext("2d");

  // Load PDF.
  const loadingTask = pdfjsLib.getDocument(url);
  loadingTask.promise.then(async (pdf) => {
    const page = await pdf.getPage(1);
    const viewport = page.getViewport({ scale: 1.5 });

    canvas.width = viewport.width;
    canvas.height = viewport.height;

    const renderContext = { canvasContext: ctx, viewport };
    await page.render(renderContext).promise;
  });
</script>

Best for:

• Lightweight projects needing only rendering
• Teams with budget constraints willing to invest development time
• Applications requiring custom UI or annotation layers

For a deeper dive, see:

• Complete guide to PDF.js
• PDF.js vs. Nutrient Web SDK
• Building a PDF viewer with JavaScript

2. React-PDF — React-friendly viewing

React-PDF(opens in a new tab) provides React components (<Document> and <Page>) that wrap PDF.js functionality.

Key capabilities:

• React-first design with props, hooks, and state
• Responsive rendering that integrates smoothly into React layouts
• Powered by PDF.js — Inherits its rendering engine and limitations
• TypeScript support with full typings out of the box

Code example:

import { Document, Page } from "react-pdf";
import { useState } from "react";

function PDFViewer({ file }) {
  const [numPages, setNumPages] = useState(null);

  return (
    <Document
      file={file}
      onLoadSuccess={({ numPages }) => setNumPages(numPages)}
    >
      {Array.from({ length: numPages }, (_, i) => (
        <Page key={i} pageNumber={i + 1} />
      ))}
    </Document>
  );
}

Best for:

• React apps needing PDF rendering with minimal boilerplate
• Teams staying within the React ecosystem
• Projects requiring view-only functionality (no editing or annotations)

See more:

• How to build a React PDF viewer with React-PDF
• React PDF viewer with Nutrient SDK

Enterprise PDF platforms

Nutrient SDK represents a modern, unified approach to enterprise document workflows — built for collaboration, compliance, and AI from the ground up. By contrast, traditional options like Apryse still deliver deep PDF capabilities but rely on older architectures that require more integration effort and custom infrastructure.

1. Nutrient SDK — Enterprise-grade document platform

Nutrient SDK is a unified document platform spanning web, server, and mobile and covering viewing, editing, generation, collaboration, and compliance in one stack.

Why teams pick it:

• Built-in collaboration: real-time presence, comments, cursors, and a full annotation suite.
• Compliance and security: roles/permissions (RBAC), audit trails, encryption, and self-hosting options.
• AI-ready workflows: summarization, extraction, comparison, and smart redaction.
• End-to-end generation: HTML/Word/PDF templates, headless pipelines, export of forms/annotations.
• Developer experience: consistent rendering, accessible UI, JSON-first data flows, container-friendly deployment.

Great for:

• Governed workflows in legal, finance, healthcare, and public sector
• Apps that combine viewing + editing + eSigning + conversion
• Teams standardizing on a single platform across client and server

Example: Load a viewer with AI assistance

NutrientViewer.load({
  container: "#nutrient",
  document: "source.pdf",
  licenseKey: "<your-license-key>",
  aiAssistant: {
    sessionId: "<your-session-id>",
    jwt: "<your-jwt-token>",
    backendUrl: "https://your-ai-backend.com",
  },
});

Replace the placeholders with your actual values:

• <your-license-key> — Your Nutrient SDK license key (can be omitted for trial with watermark).
• <your-session-id> — A unique session ID for the AI chat.
• <your-jwt-token> — A valid JWT generated for AI Assistant authentication.
• https://your-ai-backend.com — The URL where your AI Assistant backend is running.

This loads the Nutrient viewer with AI Assistant UI for summarization, smart redaction, and auto-field generation.

For full setup details, refer to AI Assistant integration with Nutrient Web SDK.

Start a free trial, explore the Web SDK documentation, or contact Sales for custom enterprise solutions.

2. Alternative: Apryse — Traditional enterprise SDK with comprehensive APIs

Apryse (formerly PDFTron) is a mature enterprise PDF SDK serving organizations for more than two decades with comprehensive PDF functionality across platforms. While feature-rich, its architecture reflects legacy decisions that modern alternatives have addressed.

Why teams pick it:

• Comprehensive PDF primitives, forms, and signatures
• Strong engineering/CAD format support (e.g. DWG, DGN)
• Mature, cross-platform tooling and documentation

Limitations for modern workflows:

• Complex integration — XML/XFDF data model increases development complexity
• Infrastructure overhead — Real-time collaboration requires custom server development
• Limited AI readiness — No built-in generative AI capabilities
• High TCO — Significant infrastructure and development costs for modern features

Best for:

• Teams prioritizing deep PDF control and engineering formats
• Enterprises invested in Apryse and comfortable with custom infrastructure

Nutrient vs. Apryse at a glance

Comprehensive feature comparison matrix

Choosing the right PDF or document SDK often comes down to how well it balances core functionality, advanced features, and enterprise requirements. To help you compare at a glance, we’ve compiled a detailed side-by-side matrix of Nutrient SDK, Apryse, and leading open source libraries. This overview highlights what each option delivers out of the box and where additional development effort may be required.

Core functionality

Advanced features

Enterprise features

Notes:

• “Encryption support” here means applying PDF encryption in output and not just opening PDFs with passwords. PDF.js and React-PDF open encrypted PDFs; they don’t encrypt outputs.
• PDF-lib currently doesn’t ship password-protection/encryption APIs.
• Puppeteer generates PDFs from HTML; it doesn’t apply PDF/A or signatures.

Pricing analysis and total cost of ownership

Total cost includes licensing, support, development time, and infrastructure scaling.

Open source hidden costs

PDF.js, React-PDF, jsPDF, PDF-lib, pdfmake, and PDFKit are free. Puppeteer is free but needs Chromium and server infrastructure.

Free libraries carry operational costs:

• Development time — Adding annotations, collaboration, compliance, or scaling features requires hundreds of engineering hours
• Support and maintenance — Community projects lack SLAs; fixes and patches follow community timelines
• Compliance and security — GDPR, HIPAA, PDF/A, and audit logging must be built from scratch
• Scalability and infrastructure — Scaling Puppeteer or PDF.js for thousands of users requires load balancers, monitoring, and clustering

Commercial solutions

Nutrient Web SDK

• Development license — Keys available for prototyping/QA/staging
• Production — Pricing based on components/products and total users. Costs scale with application and user base. See details.
• Enterprise packages — Tailored plans with SLA support, compliance options, and flexible deployment (cloud, on-premises, or dedicated hosting).
• Transparent model — User- and component-based pricing without per-document or per-operation fees. (Note: Some low-code/automation products may include operation limits.)
• Includes — SLA‑backed support, compliance guarantees, frequent updates, and enterprise deployment options.
• ROI — Minimal engineering burden with built-in audit/logging, AI processing, collaboration, and compliance.

Apryse PDF SDK

• Pricing model — Commercial license; pricing custom‑quoted based on API usage, platforms supported, and deployment size.
• Strengths — Broad platform support (web, mobile, desktop), deep API coverage, CAD/engineering file handling, rich form and signature support.
• Considerations
  • Developer workload may increase: Real-time collaboration needs a custom backend.
  • XML/XFDF-based annotation workflow can be more verbose and less AI-friendly.
  • No built-in generative AI layer as of publication.
• ROI tradeoff — Extensive capabilities, with additional integration and infrastructure work for modern features.

ROI use case summary

Different organizations have very different cost, risk, and compliance profiles depending on their scale and architecture. The following scenarios illustrate how Nutrient compares with Apryse and open source stacks in common enterprise situations.

1. Enterprise document workflows (1,000+ users)

*Compliance depends on your deployment, policies, and data handling.

2. High-volume server processing (100K+ documents/month)

Migrating from legacy PDF solutions

When applications outgrow PDF.js or custom viewers, migration paths vary based on requirements for viewing, collaboration, or compliance.

From PDF.js → Enterprise SDK

Many teams start with PDF.js for basic, low-cost PDF viewing. As requirements grow, an enterprise SDK becomes the logical next step. Migrating doesn’t have to be disruptive if you plan it in stages.

Typical migration path

1. Assessment — Identify how PDF.js (or similar tools) are currently used (viewing, search, basic annotation).
2. Feature gap analysis — List features required but missing (e.g. collaboration, redaction, signatures).
3. Pilot rollout — Start with a small group of users to validate functionality.
4. Gradual migration — Use feature flags to toggle between viewers until the new system is stable.

Annotation and data migration

Migrating from Adobe, Foxit, or custom formats requires annotation remapping. Nutrient’s unified annotation model maintains consistency across platforms, reduces cross-platform differences, and can help avoid format lock-in.

Staged migration strategy

• Phase 1 — Run both systems side by side and collect performance baselines.
• Phase 2 — Pilot with a small group, gather feedback, and optimize workflows.
• Phase 3 — Roll out broadly with rollback options available.

Feature flags let you toggle between old and new implementations without disrupting users.

From Apryse → Nutrient SDK

Enterprises switching from Apryse (formerly PDFTron) to Nutrient face different migration drivers:

• Simplifying architecture → Convert XFDF/XML annotation stores to Nutrient’s JSON model via conversion scripts/tools.
• Collaboration → Apryse typically requires a custom server for real-time features; Nutrient provides a built-in real-time layer.
• AI workflows → Nutrient includes summarization, extraction, comparison, and smart redaction; Apryse doesn’t ship a generative AI layer as of publication.
• Deployment flexibility → Nutrient is cloud-ready with Docker and managed hosting options; Apryse often requires more custom infrastructure setup.

Typical Apryse → Nutrient migration path

1. Audit current usage — Which Apryse APIs are in play (viewing, forms, CAD files, signatures)?
2. Feature mapping — Match Apryse functions to Nutrient equivalents, noting where Nutrient’s AI/collaboration can replace custom code.
3. Data migration — Convert XFDF/XML annotation stores into Nutrient’s JSON annotation model.
4. Pilot rollout — Test Nutrient SDK with a subset of workflows.
5. Cutover — Phase out Apryse SDK once feature parity and stability are validated.

Timelines vary by scope, data volume, and internal review processes.

What changes most

• Annotation and collaboration layers (XML → JSON).
• Integration complexity (wrappers vs. unified APIs).
• Optional removal of custom servers if you adopt Nutrient’s built-in collaboration and AI services.

Key decision factors

1. Document volume and size — If sizes and traffic grow, consider commercial options for support and scale.
2. Performance thresholds — Open source viewers handle many use cases; enterprise SDKs can be architected for higher concurrency.
3. Developer hours available — Open source often requires weeks to months to make it production-ready for advanced features.

FAQ

Conclusion

Your use case determines the right library:

• High concurrency or AI-assisted workflows — Nutrient SDK offers built-in real-time collaboration and AI features (summarization, extraction, comparison, smart redaction) without building a custom collaboration backend.
• MVP or proof of concept — PDF.js(opens in a new tab) for viewing, jsPDF for simple generation—both free with community support
• React applications — React-PDF(opens in a new tab) wraps PDF.js; upgrade to Nutrient when you need editing capabilities
• Template-based workflows — PDF-lib(opens in a new tab) fills existing forms; Nutrient handles complex field validation and digital signatures
• Server-side HTML conversion — Puppeteer(opens in a new tab) for <1,000 documents/day; Nutrient Document Engine for production scale

Most teams start with PDF.js and hit limitations as usage grows or when compliance enters the picture, and then evaluate commercial options.

Your next move:

1. Test with your actual PDFs — Download your largest, most complex document. Does the library handle it?
2. Measure rendering time — Load 10 PDFs simultaneously. Track memory usage and response times.
3. Check feature gaps — List your must-have features. Count how many require custom development.
4. Calculate real costs — Developer time (200 hours × $150) often exceeds commercial licensing ($30K vs. $50K/year).
5. Run a two-week pilot — Pick your top two options. Build the same feature with both.

Need help choosing? Contact our team for assistance with your specific requirements.