DOCUMENT AI

Your documents deserve more than bolt-on AI

AI is powerful — but only when it’s purposefully applied. Most platforms treat documents as static files. We see them as living assets — rich with context, built for action, and ready to drive smarter decisions and faster workflows.

GUIDES GET STARTED
Document AI

Why Nutrient AI is different

We embed AI directly into your documents and the tools you already use — enabling redaction, summarization, translation, and automation with just a few clicks.

AI-native, enterprise-ready by design

AI power at every click — from redaction to review to routing. Audit-logged, permission-aware, SOC 2-compliant, and built to scale from day one.

Document-centric intelligence

Our models understand structure, metadata, and context — not just content.

Flexible footprint, your models

Self-hosted or SaaS, OpenAI or local LLM — you choose.

Agentic workflows, fully enabled

Use our open source MCP Server to connect AI agents with natural language-driven document processing and editing.

What Document AI delivers

Our AI technology is built around three pillars — each designed to move your documents from passive storage to active intelligence. So your workflows move faster, your decisions get smarter, and your team gains leverage.

Intelligent foundations

Build a smarter foundation with structured, contextualized documents before applying AI.

  • Cleaner LLM inputs
  • Accurate data extraction
  • Faster review cycles
Convert to Markdown and HTML

Turn PDFs and scans into clean, reusable code.

LEARN MORE
Layout standardization

Normalize every page for machine-ready structure.

AI field extraction

Capture key entities and values automatically.

LEARN MORE

AI where work happens

Bring AI to the tools your team already uses — from browsers to mobile apps to backend systems.

  • Easier compliance
  • Faster decisions in flow
  • AI where users already work
Permanent AI redaction

Erase sensitive data in-app or via server API.

LEARN MORE
AI Assistant

Ask to search, summarize, translate, classify, or extract.

LEARN MORE
Semantic diffs

Spot meaning-level changes instantly.

LEARN MORE

From files to flexible flows

Turn isolated actions into automated, governed, end-to-end document workflows.

  • End-to-end automation
  • Reduced manual effort
  • Secure, scalable processes
Workflow automation

Drag-and-drop extraction, redaction, and classification.

LEARN MORE
Governed steps

Audit-logged, permission-aware, SLA-tracked.

Structured outputs

Export Markdown, HTML, or JSON.

Free 30-day trial

Want to see Nutrient Document AI in your app today?

GET STARTED

COMPARE

Put AI to work, your way

One AI core, multiple ways to build. Nutrient adapts to your team’s needs — whether you’re embedding into an app, streamlining M365 workflows, or orchestrating across business systems.

SDKs
DWS MCP Server
Microsoft 365
Workflow Automation
Ideal for
Full‑stack developers
Developers building AI agents
IT and power users
Operations and process owners
What you can do
Add AI-powered chat, redaction, and data extraction to your app.
Automate document tasks (e.g. redaction, signing) via natural language commands using MCP-compatible clients.
Redact documents in SharePoint, automate summaries in Power Automate.
Use AI to extract data from documents and auto-populate form fields — no code required.
You gain
AI‑powered assistant, document processing, and compliance in any web, desktop, or mobile app.
Seamless integration of document workflows into AI-driven applications.
AI redaction, generation, and conversion in SharePoint, OneDrive, and Power Automate.
Scalable, no-code data capture that reduces errors, rework, and manual effort.
Learn more
Learn more
Coming soon
Learn more

DEPLOYMENT OPTIONS

Deploy anywhere and keep your model options open

AI should adapt to your infrastructure — not the other way around. Nutrient offers flexible deployment options to fit your governance, latency, and scale needs.

In‑browser (WebAssembly)

Embed document tools directly in the frontend. No backend, instant proof of concept.

Self‑hosted

Our models understand structure, metadata, and context — not just content.

Managed cloud

Fastest path to production with zero DevOps. Nutrient manages your environment with dedicated infrastructure and SLAs.

Shared cloud

Quick scale without complexity. Simple setup, no infrastructure required.

Every deployment ships with a document‑tuned LLM.

Swap in OpenAI, Anthropic, or open source with one line of configuration — or blend them to balance cost, speed, and privacy.

Built for security, designed for ownership

Nutrient prioritizes data privacy and robust security.

Deploy on your terms

Deploy self-hosted LLMs to keep sensitive data entirely within your infrastructure.

Cloud safety

When using third-party models, we ensure your data is never used for training.

AI usage transparency

Nutrient never trains its core models on your documents or AI-generated content.

Verified security

SOC 2 Type 2 audited, and GDPR- and CSA-compliant — trusted by startups and Global 500 brands.

Frequently asked questions

What is Nutrient AI Assistant and what are its core capabilities for document interaction?

AI Assistant is a powerful tool integrated into our document SDKs (web and mobile) and low-code and workflow products. It’s designed to revolutionize how you work with documents. Its core capabilities include:

  • Intelligent Q&A — Search your document content by asking natural language questions and get precise answers with references to the source.
  • Summarization — Quickly generate concise summaries of entire documents or specific selected text passages.
  • Translation — Enhance your users’ experiences across multiple languages.
  • Contextual actions — Select any text within a document to instantly perform AI-driven actions like “summarize this” or “translate this,” or ask specific questions about the selection.‍
  • AI-powered redaction — Automate the identification and staging of sensitive information (e.g. PII, specific keywords) for redaction, with a human-in-the-loop review process before finalization.
How does Nutrient AI handle more complex document tasks like multidocument analysis or comparing document versions?
  • Multidocument analysis (roadmap) — While our current focus is deep interaction with single documents, robust multidocument support is a key priority. This will include features like cross-document search, Q&A across entire document sets (knowledge bases/case files), and eventually, deriving complex insights from large repositories.‍
  • AI-enhanced document comparison — We launched an AI-powered text comparison feature. This goes beyond simple “diff” views, enabling you to ask the AI to summarize key changes between versions based on specific criteria (e.g. “What changed in the payment terms?”).
How does the AI ensure accuracy, and what mechanisms are in place for user verification and trust?

We employ several strategies:

  • Source referencing — AI-generated answers and summaries are linked back to the specific text in the document, so users can easily verify the information.
  • Human-in-the-loop — For critical processes like redaction, the AI suggests changes, which are then reviewed and approved by a human user before being applied.
  • Prompt engineering — We provide guidance and build our systems with effective prompt engineering to improve the consistency and relevance of AI responses.
  • ‍User feedback — We actively gather user feedback to continuously refine the AI’s performance and the usability of its features.
What are the integration and deployment options for AI Assistant, including mobile support?

Nutrient offers flexible integration and deployment:

  • SDKs — AI Assistant is available through our Web SDK and mobile SDKs (for both iOS and Android), enabling seamless embedding into your applications.
  • Simplified deployment — We’ve streamlined the process; for instance, direct connection to AI services is possible for mobile and web without needing a separate Document Engine container.
  • ‍API and headless mode (roadmap) — We plan to offer API access and a headless mode for programmatic use of our AI capabilities without our standard UI.
Which large language models (LLMs) can be used with Nutrient AI, and can we use our own self-hosted models?

Yes, flexibility is key. Our AI Assistant supports:

  • Major cloud LLMs — Integration with leading models from providers like OpenAI (via its API or Azure OpenAI Service) and AWS Bedrock.‍
  • Bring your own LLM — You can integrate your own self-hosted LLM, as long as it’s compatible with the OpenAI API specification. This gives you maximum control over your AI environment. We’ve seen good results with open source models like Llama.
How does Nutrient address data privacy, security, and compliance (e.g. GDPR) with its AI solutions?

Data privacy is a top priority.

  • Control over data — Using a self-hosted LLM keeps your documents and data entirely within your infrastructure, which is crucial for strict compliance regimes like GDPR, especially concerning data residency for documents and their embeddings (AI-generated text representations).
  • Cloud LLM policies — When using cloud LLMs via our integration, we use configurations designed to prevent your data from being used for training public models by those providers.
  • No Nutrient model training on your data — We don’t train our core AI models on your specific customer documents.
  • ‍Secure processing — We adhere to robust security practices for data handling, aligning with industry standards.
Can AI Assistant work with scanned documents or content within images?

Yes. For scanned documents, our system can perform optical character recognition (OCR) to extract text. This extracted text can then be processed by AI Assistant for Q&A and summarization, or to suggest redactions. While directly redacting parts of an image typically uses area redaction tools, identifying text within images via OCR is the first step. We’re also researching more advanced AI models for better layout and image content understanding in the future.

What key features or improvements are on the roadmap for Nutrient’s AI products?

We’re continuously innovating. Key roadmap items include:

  • Enhanced multidocument capabilities — Enabling sophisticated search, Q&A, and insights across document collections.
  • AI-driven document commands — Expanding AI control beyond redaction to a wider range of document editing, formatting, and annotation tasks via natural language (e.g. “highlight all action items,” “rotate page 3”).
  • Deeper contextual awareness — Enabling the AI to leverage broader application-specific context for more personalized and relevant assistance.
  • Headless AI and API access — For greater developer flexibility.
Who typically benefits from Nutrient AI Assistant, and what are some common use cases?

AI Assistant is valuable across many sectors where intelligent document processing can drive efficiency and insight:

  • Legal tech — Assisting with eDiscovery, contract review, due diligence, evidence analysis, and PII redaction for SARs.
  • Corporate governance — Streamlining the review of board books, compliance documents, and meeting minutes.
  • Financial services — Analyzing reports, policies, and customer communications.‍
  • Any industry with document-intensive workflows — Helping users quickly find information, understand complex documents, and prepare them for specific needs, ultimately saving time and reducing manual effort.
How is Nutrient AI Assistant priced or licensed?

Pricing for AI Assistant is typically based on factors such as the chosen deployment model (cloud vs. self-hosted LLM), the scale of usage (e.g. number of users, document volume), and whether it’s an add-on to an existing Nutrient SDK license. We work with you to find a model that suits your needs. For a personalized quote and to discuss your specific requirements, contact our Sales team.