Our Fall Release Arrives October 7th: Get a Sneak Peek Now

AI Produces the Data. Your users decide what to trust.

We give developers the tools to build document infrastructure for both sides of the model.

Before the model, Apryse turns documents into LLM-ready structured data. After the model, WebViewer and DOCX Editor put a human in the loop before AI output becomes a decision. Most AI-native teams come to us already past the first problem. Models are running. The second problem, getting a human to trust and act on what they produce, is where we start.

WebViewer and DOCX Editor: Human-in-the-Loop, Built Into the Workflow

Every AI output needs a human checkpoint before it becomes a decision. Apryse WebViewer and DOCX Editor embed directly into your application, so that checkpoint happens inside your product instead of a separate review tool. Annotate, redact, correct, and approve AI-generated output in context, on PDFs, Office files, and more, without leaving your workflow.

Ready to Embed

No UI build required. Drop it in and ship the workflow, not the component.

Fully Accessible

WCAG-compliant out of the box. Your compliance team is covered before the conversation starts.

Completely Customizable

Looks and feels like your product, not ours. Your brand, your experience, your users.

Before the Model

Data Pipeline Built to Feed AI

Verification only matters if the data feeding your model was solid to begin with. Most AI pipelines fail at the document layer, not because the models are wrong, but because the data is. Apryse solves this with a two-stage pipeline that runs entirely in your environment.

First, Apryse's deterministic layout engine reads the physical structure of your documents and converts them into a clean, consistent, machine-readable format.

Then purpose-built AI models, developed by Apryse's own research team, interpret what that structure means: classifying document types, extracting key values, and producing AI-ready data your pipeline can actually use.

No generic LLMs. No per-page cloud cost.

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Is Your Document Infrastructure Ready for AI?

Access exclusive data on enterprise AI maturity and document infrastructure trends in our AI Readiness 2025 Report. Learn how organizations are preparing their document infrastructure to support AI adoption at scale.

Resources

WebViewer in Practice: Tutorials and Customer Stories

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How Blue Voice Uses Apryse WebViewer to Deliver AI-Powered Policy Access Across 200+ Police Departments ​​​​‌‍​‍​‍‌‍‌​‍‌‍‍‌‌‍‌‌‍‍‌‌‍‍​‍​‍​‍‍​‍​‍‌​‌‍​‌‌‍‍‌‍‍‌‌‌​‌‍‌​‍‍‌‍‍‌‌‍​‍​‍​‍​​‍​‍‌‍‍​‌​‍‌‍‌‌‌‍‌‍​‍​‍​‍‍​‍​‍​‍‌​‌‌​‌‌‌‌‍‌​‌‍‍‌‌‍​‍‌‍‍‌‌‍‍‌‌​‌‍‌‌‌‍‍‌‌​​‍‌‍‌‌‌‍‌​‌‍‍‌‌‌​​‍‌‍‌‌‍‌‍‌​‌‍‌‌​‌‌​​‌​‍‌‍‌‌‌​‌‍‌‌‌‍‍‌‌​‌‍​‌‌‌​‌‍‍‌‌‍‌‍‍​‍‌‍‍‌‌‍‌​​‌​‌‍​‍​‌‍​‍​​​​‌​‍​‌‍‌​​‌‌​‍‌‌‍​​​​​‌‌​‌​​‍‌​‌​​​​​‌‍​‍​​‍‌​‍‌​‍​​​​‌‍‌​​‍‌​‍‌‌‍‌‌‌‍​‌​‍‌‌‍‌‍​‌​‍‌​‌​​​‍​​​​‌​​‍‌​‍‌‌​‌‍‌‌​​‌‍‌‌​‌‌‍​‍‌‍​‌‍‌‍‌‌‌​​‌‍‌​‌‌​​‍‌​​‌‍​‌‌‌​‌‍‍​​‌‌‌​‌‍‍‌‌‌​‌‍​‌‍‌‌​‌‍​‍‌‍​‌‌​‌‍‌‌‌‌‌‌‌​‍‌‍​​‌​‍‌‌​​‍‌​‌‍‌​‌‌​‌‌‌‌‍‌​‌‍‍‌‌‍​‍‌‍‌‍‍‌‌‍‌​​‌​‌‍​‍​‌‍​‍​​​​‌​‍​‌‍‌​​‌‌​‍‌‌‍​​​​​‌‌​‌​​‍‌​‌​​​​​‌‍​‍​​‍‌​‍‌​‍​​​​‌‍‌​​‍‌​‍‌‌‍‌‌‌‍​‌​‍‌‌‍‌‍​‌​‍‌​‌​​​‍​​​​‌​​‍‌​‍‌‍‌‌​‌‍‌‌​​‌‍‌‌​‌‌‍​‍‌‍​‌‍‌‍‌‌‌​​‌‍‌​‌‌​​‍‌‍‌​​‌‍​‌‌‌​‌‍‍​​‌‌‌​‌‍‍‌‌‌​‌‍​‌‍‌‌​‍‌‍‌​​‌‍‌‌‌​‍‌​‌​​‌‍‌‌‌‍​‌‌​‌‍‍‌‌‌‍‌‍‌‌​‌‌​​‌‌‌‌‍​‍‌‍​‌‍‍‌‌​‌‍‍​‌‍‌‌‌‍‌​​‍​‍‌‌

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Juume AI Selects Apryse to Power Document Integrity Behind Its Agentic AI Platform, CapraOne™​​​​‌‍​‍​‍‌‍‌​‍‌‍‍‌‌‍‌‌‍‍‌‌‍‍​‍​‍​‍‍​‍​‍‌​‌‍​‌‌‍‍‌‍‍‌‌‌​‌‍‌​‍‍‌‍‍‌‌‍​‍​‍​‍​​‍​‍‌‍‍​‌​‍‌‍‌‌‌‍‌‍​‍​‍​‍‍​‍​‍​‍‌​‌‌​‌‌‌‌‍‌​‌‍‍‌‌‍​‍‌‍‍‌‌‍‍‌‌​‌‍‌‌‌‍‍‌‌​​‍‌‍‌‌‌‍‌​‌‍‍‌‌‌​​‍‌‍‌‌‍‌‍‌​‌‍‌‌​‌‌​​‌​‍‌‍‌‌‌​‌‍‌‌‌‍‍‌‌​‌‍​‌‌‌​‌‍‍‌‌‍‌‍‍​‍‌‍‍‌‌‍‌​​‌​‌‌​‍​‌‍‌‌‌‍​‍​‌‌​​​‌​‌‍​‌​‍‌​‌​‌‍‌‍​‌‍​​​​‍‌​‌​​‍‌‌‍​‍​​‍​‍‌‌‍​‍​​​‌‌​‌​‍‌‌‍‌​‌‍‌​‌‍‌‍​​‌‌‍‌‍‌‍‌‍​​​​‌‍‌‍​‍​​​​‌‌​‌​​‍‌‌​‌‍‌‌​​‌‍‌‌​‌‌‍​‍‌‍​‌‍‌‍‌‌‌​​‌‍‌​‌‌​​‍‌​​‌‍​‌‌‌​‌‍‍​​‌‌‌​‌‍‍‌‌‌​‌‍​‌‍‌‌​‌‍​‍‌‍​‌‌​‌‍‌‌‌‌‌‌‌​‍‌‍​​‌​‍‌‌​​‍‌​‌‍‌​‌‌​‌‌‌‌‍‌​‌‍‍‌‌‍​‍‌‍‌‍‍‌‌‍‌​​‌​‌‌​‍​‌‍‌‌‌‍​‍​‌‌​​​‌​‌‍​‌​‍‌​‌​‌‍‌‍​‌‍​​​​‍‌​‌​​‍‌‌‍​‍​​‍​‍‌‌‍​‍​​​‌‌​‌​‍‌‌‍‌​‌‍‌​‌‍‌‍​​‌‌‍‌‍‌‍‌‍​​​​‌‍‌‍​‍​​​​‌‌​‌​​‍‌‍‌‌​‌‍‌‌​​‌‍‌‌​‌‌‍​‍‌‍​‌‍‌‍‌‌‌​​‌‍‌​‌‌​​‍‌‍‌​​‌‍​‌‌‌​‌‍‍​​‌‌‌​‌‍‍‌‌‌​‌‍​‌‍‌‌​‍‌‍‌​​‌‍‌‌‌​‍‌​‌​​‌‍‌‌‌‍​‌‌​‌‍‍‌‌‌‍‌‍‌‌​‌‌​​‌‌‌‌‍​‍‌‍​‌‍‍‌‌​‌‍‍​‌‍‌‌‌‍‌​​‍​‍‌‌

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AI Powered Redaction from Within Apryse WebViewer​​​​‌‍​‍​‍‌‍‌​‍‌‍‍‌‌‍‌‌‍‍‌‌‍‍​‍​‍​‍‍​‍​‍‌​‌‍​‌‌‍‍‌‍‍‌‌‌​‌‍‌​‍‍‌‍‍‌‌‍​‍​‍​‍​​‍​‍‌‍‍​‌​‍‌‍‌‌‌‍‌‍​‍​‍​‍‍​‍​‍​‍‌​‌‌​‌‌‌‌‍‌​‌‍‍‌‌‍​‍‌‍‍‌‌‍‍‌‌​‌‍‌‌‌‍‍‌‌​​‍‌‍‌‌‌‍‌​‌‍‍‌‌‌​​‍‌‍‌‌‍‌‍‌​‌‍‌‌​‌‌​​‌​‍‌‍‌‌‌​‌‍‌‌‌‍‍‌‌​‌‍​‌‌‌​‌‍‍‌‌‍‌‍‍​‍‌‍‍‌‌‍‌​​‌‌‍‌‌‌‍‌‍​‍​​‍​​‌​​‌‌‍​‌‍​‍​‍‌‌‍​‍​​​​‌‌‍‌‍​‍‌​‌​​​‍​​​‌‍‌‍​‍‌​‍‌​​​‌‍​‌​‌​‍‌‌‍‌‌‌‍‌‌​‌​​‍​​​‍​‌‌​‌‍‌‍​‍‌‍‌​‌‍​​‌‌​​​‍‌‌​‌‍‌‌​​‌‍‌‌​‌‌‍​‍‌‍​‌‍‌‍‌‌‌​​‌‍‌​‌‌​​‍‌​​‌‍​‌‌‌​‌‍‍​​‌‌‌​‌‍‍‌‌‌​‌‍​‌‍‌‌​‌‍​‍‌‍​‌‌​‌‍‌‌‌‌‌‌‌​‍‌‍​​‌​‍‌‌​​‍‌​‌‍‌​‌‌​‌‌‌‌‍‌​‌‍‍‌‌‍​‍‌‍‌‍‍‌‌‍‌​​‌‌‍‌‌‌‍‌‍​‍​​‍​​‌​​‌‌‍​‌‍​‍​‍‌‌‍​‍​​​​‌‌‍‌‍​‍‌​‌​​​‍​​​‌‍‌‍​‍‌​‍‌​​​‌‍​‌​‌​‍‌‌‍‌‌‌‍‌‌​‌​​‍​​​‍​‌‌​‌‍‌‍​‍‌‍‌​‌‍​​‌‌​​​‍‌‍‌‌​‌‍‌‌​​‌‍‌‌​‌‌‍​‍‌‍​‌‍‌‍‌‌‌​​‌‍‌​‌‌​​‍‌‍‌​​‌‍​‌‌‌​‌‍‍​​‌‌‌​‌‍‍‌‌‌​‌‍​‌‍‌‌​‍‌‍‌​​‌‍‌‌‌​‍‌​‌​​‌‍‌‌‌‍​‌‌​‌‍‍‌‌‌‍‌‍‌‌​‌‌​​‌‌‌‌‍​‍‌‍​‌‍‍‌‌​‌‍‍​‌‍‌‌‌‍‌​​‍​‍‌‌

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Creating a Web Application that Interacts with AI. Part 1: Setting up the Client-side Interface​​​​‌‍​‍​‍‌‍‌​‍‌‍‍‌‌‍‌‌‍‍‌‌‍‍​‍​‍​‍‍​‍​‍‌​‌‍​‌‌‍‍‌‍‍‌‌‌​‌‍‌​‍‍‌‍‍‌‌‍​‍​‍​‍​​‍​‍‌‍‍​‌​‍‌‍‌‌‌‍‌‍​‍​‍​‍‍​‍​‍​‍‌​‌‌​‌‌‌‌‍‌​‌‍‍‌‌‍​‍‌‍‍‌‌‍‍‌‌​‌‍‌‌‌‍‍‌‌​​‍‌‍‌‌‌‍‌​‌‍‍‌‌‌​​‍‌‍‌‌‍‌‍‌​‌‍‌‌​‌‌​​‌​‍‌‍‌‌‌​‌‍‌‌‌‍‍‌‌​‌‍​‌‌‌​‌‍‍‌‌‍‌‍‍​‍‌‍‍‌‌‍‌​​‌‌‍​‌‍‌​​‍​​​​​‌​​‌​‍‌​​​​‍‌‌‍‌‌‌‍‌‌​​‌​​‍​‍‌​‌​‌‍‌‍​‌‌​‌‌​‍‌​‍​‌‍​‌‌‍‌‍​‌​​‍‌‌‍​​‌​‌​​‌​‍‌​‌‍​​​‌‍​‌‌‍‌‌‌‍​​‌‍‌‍​‍​‍‌‌​‌‍‌‌​​‌‍‌‌​‌‌‍​‍‌‍​‌‍‌‍‌‌‌​​‌‍‌​‌‌​​‍‌​​‌‍​‌‌‌​‌‍‍​​‌‌‌​‌‍‍‌‌‌​‌‍​‌‍‌‌​‌‍​‍‌‍​‌‌​‌‍‌‌‌‌‌‌‌​‍‌‍​​‌​‍‌‌​​‍‌​‌‍‌​‌‌​‌‌‌‌‍‌​‌‍‍‌‌‍​‍‌‍‌‍‍‌‌‍‌​​‌‌‍​‌‍‌​​‍​​​​​‌​​‌​‍‌​​​​‍‌‌‍‌‌‌‍‌‌​​‌​​‍​‍‌​‌​‌‍‌‍​‌‌​‌‌​‍‌​‍​‌‍​‌‌‍‌‍​‌​​‍‌‌‍​​‌​‌​​‌​‍‌​‌‍​​​‌‍​‌‌‍‌‌‌‍​​‌‍‌‍​‍​‍‌‍‌‌​‌‍‌‌​​‌‍‌‌​‌‌‍​‍‌‍​‌‍‌‍‌‌‌​​‌‍‌​‌‌​​‍‌‍‌​​‌‍​‌‌‌​‌‍‍​​‌‌‌​‌‍‍‌‌‌​‌‍​‌‍‌‌​‍​‍‌‌

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Creating a Web Application that Interacts with AI. Part 2: Interacting with the LLM​​​​‌‍​‍​‍‌‍‌​‍‌‍‍‌‌‍‌‌‍‍‌‌‍‍​‍​‍​‍‍​‍​‍‌​‌‍​‌‌‍‍‌‍‍‌‌‌​‌‍‌​‍‍‌‍‍‌‌‍​‍​‍​‍​​‍​‍‌‍‍​‌​‍‌‍‌‌‌‍‌‍​‍​‍​‍‍​‍​‍​‍‌​‌‌​‌‌‌‌‍‌​‌‍‍‌‌‍​‍‌‍‍‌‌‍‍‌‌​‌‍‌‌‌‍‍‌‌​​‍‌‍‌‌‌‍‌​‌‍‍‌‌‌​​‍‌‍‌‌‍‌‍‌​‌‍‌‌​‌‌​​‌​‍‌‍‌‌‌​‌‍‌‌‌‍‍‌‌​‌‍​‌‌‌​‌‍‍‌‌‍‌‍‍​‍‌‍‍‌‌‍‌​​‌‌‍‌‍​​​‍​‌‍‌‌​​‌‍​‍​‌‌‍​‍​‍‌‌‍​​​‍​​‌​​‍​‍‌​‌​‌‍‌‍‌‍​‍‌‍‌‍​‍‌‌‍​‌‌‍‌‍‌‍​‌‍​‍​‍‌​​​​‌‍‌‍​‌‍‌​​‍​​‌​‌​​‌​‌​‌‍​‌​​‍‌‍‌‍​‍‌‌​‌‍‌‌​​‌‍‌‌​‌‌‍​‍‌‍​‌‍‌‍‌‌‌​​‌‍‌​‌‌​​‍‌​​‌‍​‌‌‌​‌‍‍​​‌‌‌​‌‍‍‌‌‌​‌‍​‌‍‌‌​‌‍​‍‌‍​‌‌​‌‍‌‌‌‌‌‌‌​‍‌‍​​‌​‍‌‌​​‍‌​‌‍‌​‌‌​‌‌‌‌‍‌​‌‍‍‌‌‍​‍‌‍‌‍‍‌‌‍‌​​‌‌‍‌‍​​​‍​‌‍‌‌​​‌‍​‍​‌‌‍​‍​‍‌‌‍​​​‍​​‌​​‍​‍‌​‌​‌‍‌‍‌‍​‍‌‍‌‍​‍‌‌‍​‌‌‍‌‍‌‍​‌‍​‍​‍‌​​​​‌‍‌‍​‌‍‌​​‍​​‌​‌​​‌​‌​‌‍​‌​​‍‌‍‌‍​‍‌‍‌‌​‌‍‌‌​​‌‍‌‌​‌‌‍​‍‌‍​‌‍‌‍‌‌‌​​‌‍‌​‌‌​​‍‌‍‌​​‌‍​‌‌‌​‌‍‍​​‌‌‌​‌‍‍‌‌‌​‌‍​‌‍‌‌​‍​‍‌‌

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Creating an MCP Server That Allows an AI Application to Run Your Code​​​​‌‍​‍​‍‌‍‌​‍‌‍‍‌‌‍‌‌‍‍‌‌‍‍​‍​‍​‍‍​‍​‍‌​‌‍​‌‌‍‍‌‍‍‌‌‌​‌‍‌​‍‍‌‍‍‌‌‍​‍​‍​‍​​‍​‍‌‍‍​‌​‍‌‍‌‌‌‍‌‍​‍​‍​‍‍​‍​‍​‍‌​‌‌​‌‌‌‌‍‌​‌‍‍‌‌‍​‍‌‍‍‌‌‍‍‌‌​‌‍‌‌‌‍‍‌‌​​‍‌‍‌‌‌‍‌​‌‍‍‌‌‌​​‍‌‍‌‌‍‌‍‌​‌‍‌‌​‌‌​​‌​‍‌‍‌‌‌​‌‍‌‌‌‍‍‌‌​‌‍​‌‌‌​‌‍‍‌‌‍‌‍‍​‍‌‍‍‌‌‍‌​​‌‌‍​‌​​‌‍​‌​​‍​‌​‌‍‌​​​​‌‍‌‍​‍‌​​​‍‌​​‍‌‍‌​​‍‌​‌​‌‍‌‌‌‍​‌‍​​‍‌​‍​​‍‌​​‌‍‌‌​‍‌​‌‌​​‌‍​‍​​​‌‍​‌​‌​‍‌​​​‌‌​​​‌‌‌‍​‍​‍‌‌​‌‍‌‌​​‌‍‌‌​‌‌‍​‍‌‍​‌‍‌‍‌‌‌​​‌‍‌​‌‌​​‍‌​​‌‍​‌‌‌​‌‍‍​​‌‌‌​‌‍‍‌‌‌​‌‍​‌‍‌‌​‌‍​‍‌‍​‌‌​‌‍‌‌‌‌‌‌‌​‍‌‍​​‌​‍‌‌​​‍‌​‌‍‌​‌‌​‌‌‌‌‍‌​‌‍‍‌‌‍​‍‌‍‌‍‍‌‌‍‌​​‌‌‍​‌​​‌‍​‌​​‍​‌​‌‍‌​​​​‌‍‌‍​‍‌​​​‍‌​​‍‌‍‌​​‍‌​‌​‌‍‌‌‌‍​‌‍​​‍‌​‍​​‍‌​​‌‍‌‌​‍‌​‌‌​​‌‍​‍​​​‌‍​‌​‌​‍‌​​​‌‌​​​‌‌‌‍​‍​‍‌‍‌‌​‌‍‌‌​​‌‍‌‌​‌‌‍​‍‌‍​‌‍‌‍‌‌‌​​‌‍‌​‌‌​​‍‌‍‌​​‌‍​‌‌‌​‌‍‍​​‌‌‌​‌‍‍‌‌‌​‌‍​‌‍‌‌​‍​‍‌‌

Built for This. Ready for What's Next.

Two Decades in Document Infrastructure

Apryse has spent over 20 years on document problems general-purpose AI wasn't built to handle: human review after the model, extraction accuracy before it, deployed however your security and compliance team requires. The enterprises winning with AI aren't the ones who automated the most. They're the ones who kept humans in control of what mattered. See how Apryse delivers both sides of the model.

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Frequently asked questions​​​​

Apryse participates in the IDP category but approaches it differently than most vendors. Where traditional IDP solutions are off-the-shelf products with fixed workflows, Apryse provides the SDKs and tools developers need to build their own document processing solution, one that fits their specific pipeline, their data model, and their application architecture. That means more flexibility, more control, and a solution that works the way your business actually works rather than the way a packaged product assumes it does.

The most reliable approach is structured human review built into the workflow itself, not bolted on at the end. Apryse gives users the tools to validate AI-generated document outputs in context, with a full audit trail behind every annotation, correction, and approval. That makes automated decisions traceable and defensible when it matters.

A reliable document data pipeline starts with clean, structured data. Apryse handles the full pre-processing workflow, converting unstructured documents into machine-readable format using a deterministic layout engine, then layering purpose-built AI models to extract key values, classify document types, and recognize tables. The output is schema-ready structured data your AI pipeline can use immediately, all processed inside your own environment.

A cloud API sends your documents to an external server for processing. An embedded SDK processes documents inside your own environment. For enterprises handling sensitive documents, that difference matters for data residency, compliance, and cost. With Apryse, processing happens locally, documents never leave your infrastructure, and you are on a predictable licensing model instead of per-page pricing that scales unpredictably with volume.

Yes. Apryse WebViewer and DOCX Editor are built to embed directly into your application so your users never have to leave your workflow to review, annotate, redact, or approve AI-generated documents. They work across PDFs, Office files, and more, and they are fully customizable so the experience looks and feels like your product, not a third-party tool.

WebViewer gives developers the building blocks to create a full document review workflow with a traceable record of every change. Using the annotation event listener API, your application can capture every annotation added, modified, or deleted, storing each change against a user identity and timestamp in your own history table. The result is a complete, queryable log of who reviewed what, what they changed, and when, without any document leaving your application. Apryse handles the document layer. You own the audit record.