Nutrient vs Apryse 2026

Developers choose Apryse when their outcomes are measured by accuracy, performance, and user experience. Find out why leading enterprises and fast-growing start ups choose Apryse for their significant use cases when going head-to-head with Nutrient.

Apryse: The Only SDK Built for the Entire Document Lifecycle

Quick Comparison

Apryse
Nutrient

Company

600+ global employees with localized support

100+ global employees with limited regional coverage

Active users

Billions, used by 85% of the Fortune 100 and many popular SaaS products

Millions, claims billions due to Google Chrome using PDFium, which is not their product

Front-end

Open source, modular UI that’s easy to extend

Closed source, only customizable via API

Core

Proprietary, in-house Core SDK (single vendor)

PDFium-based fork (open source)

Rendering complex files

Superior performance with optimizations available via linearization (streaming byte ranges) or flattening

Struggles with large, complex files, optimizations available via linearization or flattening

Office Editing

Native in-browser DOCX editing, XLSX editor available

DocJSON intermediary for authoring, recommends not storing as DOCX as their support “remains best effort”

Conversion

Highly accurate, especially when converting to and from structured formats such as office files

Struggles with complex elements such as page breaks, tables, and list content

Third-party dependencies

Built to run without external runtime dependencies

PDFium-based, cloud required for certain features, third party LLM required for certain features

Trusted by Leaders

Join the ranks of over 20,000 innovative start-ups, governments and Fortune 500 companies - including more than 85% of Fortune 100 companies that trust Apryse

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Powering the Full AI Document Lifecycle

Apryse is your strategic partner for the document-to-data lifecycle, empowering developers to operationalize AI strategies before and after the model. From preparing and extracting structured JSON via our reliable core engine to providing a flexible, high-fidelity front end for human review, Apryse handles the heavy lifting across your entire pipeline.

Apryse vs “AI-native” Competitors

What Apryse delivers
What “AI-native” competitors do

UI

Open-source UI that supports your custom LLM hooks

Productized viewer hooks that call an LLM from a closed-source UI

Prompt Log

Fully customizable and can connect to any model, MCP, or RAG workflow

Underlying prompt logic is not reviewable or customizable

Deployment Flexibility

Run Apryse fully in your infrastructure without creating additional dependencies

“Works with our server” features that pull your data through a single path

Data Extraction

ML-trained data extraction finely tuned to popular enterprise use cases; LLM optional

Data extraction workflows that feed your data through an LLM

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Nutrient is powered by PDFium

PDFium is an open-source rendering engine built by Foxit/Google, launched via Google/Chromium, and adopted by many vendors. Nutrient has 8 verifiable contributions to the 17,686 total code commits (Oct 2025). By contrast, Apryse customers directly access support from the engineers who built the SDK, and is constantly being improved.

Proprietary technology with no dependencies on cloud hosting or external LLMs, Apryse deploys securely within your application.

Apryse
Nutrient / PDFium

Penetration Testing

Annual

Annual

Resolved CVEs

13/13 (November 2025)

?/113 (November 2025)

SOC 2

SOC 2 Type II

SOC 2 Type II

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Quote

“The performance of the Apryse SDK was excellent in terms of rendering times and editing task completion rates … [and] especially compared to other vendors that Dropbox has worked with in the past, the Apryse engineering support was just very responsive”
Sr Dropbox Product Manager, Amanda Lansman

Feature Chart: See How Apryse is MADE BETTER

Apryse
Nutrient

Viewing

High performance viewer, side-by-side and multi-tab view modes, excels with complex files

Competent viewer, side-by-side mode, restrictive zoom/memory ceilings, struggles with complex files

Language Localization

30+ localizations, RTL UI and content interactions

29 localizations, does not support RTL content interactions

UI Customization

Open-source modular UI, quick to extend or theme

Closed source, enable/disable elements via API

UI Accessibility

Meets WCAG 2.2 AA guidelines

Meets WCAG 2.2 AA guidelines

Annotations

Extensive OOTB annotations, deep customization, import/export

Basic OOTB annotations, import/export

Search

Pattern search + index panel, SDK performance enhances handling of long docs

Pattern search, no index panel by default

Forms

Create and fill with live editing

Uses placeholder annotations

Signatures

Live editing of created signature fields, works across all platforms

Long-term validation only on mobile / windows

Measurements

6 measurement types, snap-to-point, unit systems

4 measurement types, unit systems

Redaction

Permanent redaction, pattern-based search & redact

Permanent redaction, LLM-assisted search & redact

PDF Content Editing

Edit text & images, deep rich text editing, highly responsive

Edit text, limited rich text editing, can only resize paragraphs horizontally

DOCX Editing

Native DOCX editing (no intermediate format)

DocJSON intermediary, requires DOCX import/export

Spreadsheet Editing

In-browser XLSX editing

N/A

OCR

Modified version of Tesseract or Iris OCR

Proprietary ORPALIS OCR

Text & Image Extraction

Extract plain text & images programmatically

Extract plain text programmatically

Key-Value Pair Extraction

ML-assisted KVP to JSON

ML-assisted KVP to JSON

Tabular Data Extraction

ML-assisted table detection to JSON/XLSX

Basic table extraction to JSON

Document Structure Extraction

Extract headers, paragraphs, lists, tables, etc to JSON

N/A

Document Classification

Page-level document classification with confidence scores

LLM-assisted classification when connected

Barcode Extraction

Barcode decoding with preprocessing for skew/quality

Barcode decoding with preprocessing for skew/quality, only in .NET applications

CAD Title Block Extraction

Extract standard and non-standard title block information from technical drawings to JSON

N/A

Template Generation

Generate via merging JSON data with PDFs, or from Office templates using Fluent

Generate via merging JSON data with PDFs

Image Conversion

~30 image types including advanced (e.g. DICOM)

~11 basic image types

Office Conversion

Industry leading conversion quality to and from Office

Struggles with rich text and structure in Office files, however, can perform entirely client-side

CAD Conversion

6 CAD file types

2 CAD file types

PDF/A Conversion

Create & validate PDF/A-1 to A-4

Create & validate PDF/A-1 to A-4

Auto-Tagging

Adds/fixes tags using Apryse SDK, PDF/UA friendly output via iText

Adds tags, PDF/UA friendly output via costly cloud services

Page Comparison

Side-by-side, overlay, semantic text, and image comparison

Side-by-side, overlay, semantic text, and image comparison

What Our Customers Say

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"The speed at which they integrate is superior to their competition and their product roadmap has been good -- they’ve invested in the right things."

Marcus O'Brien

Global Head of Product Management, AutoCAD

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"Apryse SDK [PDFTron] had particularly strong annotation and collaboration features, and their cross-platform approach allowed us to accelerate how we delivered products."

Sam Stuart

Senior Product Manager, Bentley Systems

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"Apryse [PDFTron] demonstrated superior speed and functionality out of the box. In contrast, the competition took a lot of shortcuts and it was obvious in the user experience."

Alistair Michener

Founder and CEO, Drawboard

Apryse is the top choice for document processing technology.
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