CKEditor AI

AI Chat

Conversational AI Inside Your Editor

WEBINAR:

Beyond Disjointed Text Boxes

Orchestrating Every Piece of Content and Its Metadata with CKEditor AI

CKEditor AI is a fully integrated, AI writing assistant that optimizes content creation
workflows by keeping teams in their editing environment rather than jumping between external platforms.
Beyond providing a powerful user experience, it is a programmatic enterprise governance layer that leverages APIs and MCP support
to securely connect external AI agents while enforcing content compliance and preserving rich text formatting.

Conversational AI Inside Your Editor

Grammar, Style, and Tone Checks

In-Editor Language Translation

One-Click Content Transformations

at a glance

In this demo you can test CKEditor AI hands-on. Start a chat in the AI side panel and use the chat history feature to switch between different document conversations. Use the Review feature to run grammar and style reviews, or use Quick actions, like rewriting and summarizing, directly on the text inside the editor.

Better in Fullscreen

Open the demo in fullscreen to comfortably explore the editor and its features.

Note

• Read more about the AI capabilities in the documentation.

Check the source code for this demo.

Automated pipelines - trigger AI operations on documents programmatically from your backend, without requiring a user in the browser. See the programmatic APIs in action.

Perform operations like AI Review in background pipelines, so your users have results ready for them when they open the document.

Equip AI Agents in your system with CKEditor AI capabilities, produce content that is always compatible and leverages CKEditor features like suggestions and comments.

CKEditor AI isn’t just a connection to an LLM. It’s an AI layer purpose-built to use with a platform for structured content editing, document workflows, and enterprise environments.

work reliably with

Tables and lists

Headings

Links

Images

Track Changes

Custom features and structured content blocks

for content workflows

AI interactions are more than just single prompts - they're a full, multi-turn conversation. CKEditor AI takes care of it all.

Conversation history

Uploaded context files

External knowledge

Document state

Multi-turn interactions

Visualization of AI-suggested changes

with business logic

Sending user prompts directly to an LLM is not enough for an enterprise-grade content workflow.

Optimized system prompts

Feature-specific AI logic (Chat, Quick Actions, Reviews)

Structured response shaping

Multi-change and long-document optimization

Intelligent task splitting for performance

Quality control with LLM evaluation suite

for your app

Get AI features fast with out-of-the-box defaults. Fine-tune prompts, connect MCP
tools, and tailor AI Review checks to your brand voice and guidelines.

Adjust the CKEditor AI features on the frontend to fit your use case and application UI.

Choose from different UI placement models

Toggle, maximize, or hide on initialization

Choose how to display AI suggestions inside the editor

Customize the UI theme or replace it with your own

and custom LLMs

Connect your own LLMs, whether they’re in the cloud, on-prem, or from an external LLM provider.

Access the latest AI models, kept up to date automatically with the SaaS distribution of CKEditor AI.

CKEditor AI on-premise distribution supports custom models and your own API keys to the widely available ones.

Manage and control AI costs and prevent them from spiraling quickly.

Prompt result caching to avoid redundant calls

Smart rate limiting

Delegation to faster/cheaper models where appropriate

vendor lock-in

Future-proof your application with effortless adaptation to the constantly evolving AI landscape.

Easy switching between models

Unified output format compatible with CKEditor

Fallback chains if a provider goes down

LLM evaluation suite

Ensure consistent, production-ready model performance without introducing risk,
as every model is tested via a proprietary evaluation suite.

Benchmarking models on real CKEditor use cases

Validating output quality and formatting integrity

Ensuring regressions are caught before deployment

On-premises deployment option: CKEditor AI can be deployed on-premises for organizations with strict compliance and data-control requirements.

Content moderation: Every request is screened for inappropriate content before reaching the model.

Permissions system: Granular control over user, feature, and model access.

Encryption at rest: All conversations, documents, and uploaded files are encrypted, including in on-premises deployments.

Resilience and reliability: Rely on provider fallback chains, stream error recovery, and automatic retry strategies. SOC 2 Type 2 and GDPR compliant.

Constant evolution: Benefit from ongoing improvements to prompts and logic, support for new models and APIs, and adaptation to new AI standards.

Want to have your say in CKEditor AI product development? Partner with us to develop the AI content editing framework aligning with your use case.

Early access: Start using the new features ahead of general availability.

Faster feedback loops: Provide direct input to our team, helping shape feature priorities.

Engineering support: Collaborate with our engineering team to streamline-implementation and resolve technical challenges.

Introduces an all-in-one AI-driven editing experience and review process inside your application without friction

Increases team productivity by reducing manual editing, review cycles, and context-switching delays

Enhances content quality, clarity, and brand alignment across large teams

Saves the costs of months of research and development by introducing drop-in AI writing features inside your app

Future-proofs the content pipeline with scalable AI features that evolve with your business goals

Offloads operational burden and reduces the workload of AIOps teams

Reduces costs associated with external copyediting, QA, or manual rewrites

Speeds up publishing turnaround times and supports instant content personalization

Preserves organizational knowledge and reduces duplication with persistent AI chat history

CKEditor AI is a set of in-editor configurable AI features—AI Chat with chat history, AI Quick Actions, and AI Review—that enhance writing, formatting, and reviewing content.

Yes. All AI-generated changes are reviewable as suggestions before they’re applied.

CKEditor AI is designed as a drop-in, out-of-the-box component for applications using CKEditor 5. See the implementation guide for details.

CKEditor AI Assistant will still be available and maintained for our current customers. However, if you’re looking to implement a more robust set of AI writing features inside your application, then CKEditor AI is the way to go.

CKEditor AI is offered as an add-on to existing editor plans, using a simple and scalable subscription-plus-usage pricing model. Customers choose from three service tiers, each with a fixed monthly or annual fee that includes a credit allowance for AI-powered actions. If customers exceed their monthly allowance, predetermined overage fees apply.

This comparison table will help you navigate the credit usage for different LLMs and specific operations.

Yes, you can ship CKEditor AI on-premises. Find out how from CKEditor AI documentation.

We start with models from three major providers: OpenAI, Anthropic, and Google Gemini. The LLM market evolves rapidly, so CKEditor AI has a built-in mechanism for the introduction of new models quickly, as long as they can support the features of the editor.

Yes, it’s possible with the on-premises installation. Find out how from CKEditor AI documentation.

Yes, with the on-premises installation you can connect MCP tools and enable retrieval-augmented generation (RAG). Find out how from CKEditor AI documentation.

The original AI Assistant is similar to Quick Actions in CKEditor AI. However, you can transfer AI Assistant actions to CKEditor AI.

No, it’s not. We take your data privacy seriously and never train our own models on your data. Your data remains yours.

Everything is stored in CKEditor Cloud Services and follows the same rules and patterns as other data we store for the editor features. For a full security breakdown, please visit the security section on our homepage. However, bear in mind that your queries to LLMs, together with all the data required to perform the operation, are processed by the selected LLM provider.

Customers can use the Insights Panel to access Audit Logs after turning them on in customer portal settings.

Our business logs contain information about the credits usage per request, including user IDs. Logs can be accessed in the Insights Panel in our Customer Portal and are also available via our Insights API.

Consuming data from Insights API should allow tracking of high-level usage trends in their application to prevent significant overusage or abuse, but it doesn't guarantee 100% accuracy so it should not be used as input for any precise, usage-based billing logic.

Whether you’re building content automation tools or regulated documentation workflows, CKEditor AI reduces the friction between ideation, creation, and compliance without forcing you to maintain an AI stack outside of your application.