AI Tools in TinyMCE, Froala, and Tiptap Compared

Choosing the right AI-enabled rich text editor in 2026 comes down to three options: TinyMCE AI, Tiptap's AI Toolkit, and Froala's AI Assist. They each take fundamentally different approaches.

TinyMCE AI is a fully managed, out-of-the-box plugin with native chat, quick actions, and review mode. Tiptap offers developer-assembled, schema-aware AI extensions with granular document control. Froala gives you editor-side wiring only, so your team owns the backend, the model, and all prompt engineering.

If you need a production-ready AI writing environment with minimal engineering overhead, TinyMCE AI is the strongest choice. If you're building an AI-native application with complex document structures, Tiptap's architecture is better suited. If your requirements are specific enough that neither managed approach fits and you have strong dev resources, Froala's flexibility is worth the tradeoff.

This comparison breaks down how each editor handles conversational AI chat, quick actions, review mode, model flexibility, and custom prompt configuration, so you can match the right tool to your application's needs.

What does "AI in a rich text editor" actually mean?

It's worth grounding this before diving into comparisons, because "AI features" means something different in the context of an embedded RTE than it does in a standalone AI writing tool.

AI-assisted writing tools: Tools like Grammarly, Notion AI, or a general-purpose ChatGPT window are AI-assisted writing environments in their own right. They're products you use. But the content isn’t placed in a document management system (DMS), a translation app, or a support ticket system. And the AI can’t reference any context other than the files, prompts, or information users directly give it per conversation. It’s extra effort for users to work in one place and then have to copy and paste between multiple tools to get the job done. 

Native AI-enabled rich text editor: An AI-enabled rich text editor is contextual. The AI conversation is relevant to the content inside an RTE, plus whatever extra information the user wants to share (links, files, images, prompts). The AI is a native part of the UI, and can assist the user right there with edits, translations, content generation, research, ideas, planning, and more. No more copying and pasting a dozen times for one project.

The editor component delivers AI features inside your product's UI, in the context of the content your users are already editing. That distinction matters because native AI integration in an RTE is fundamentally more capable than a bolt-on approach. 

When you ask yourself, "can't we just build this ourselves with an LLM’s API?" the real answer is: you can, but you'll spend significant development time recreating what a native plugin already does: 

• JSON parsing
• UI management
• Cursor-position awareness
• Streaming responses into the editor
• Ongoing maintenance as the LLM APIs evolve

An editor that understands its document model can also apply AI to selected text, preserve formatting, and maintain document structure. 

How TinyMCE, Tiptap, and Froala approach AI-enabled rich text editing

Each of the three editors in this comparison takes a different approach to this embedded AI capability:

• TinyMCE AI:  A purpose-built out-of-the-box plugin that developers add to their TinyMCE installation and configure through a standard init script. TinyMCE AI is embedded in the RTE with the option for a native chat window where users can choose their LLM model, upload files, paste links, or chat with the AI. It includes the ability to choose between OpenAI, Anthropic, and Gemini models to offer users. TinyMCE also has regular updates and releases, and any bugs that may surface are fixed by the TinyMCE team, saving your team time and effort. TinyMCE AI is a premium feature, so tech support and assistance is available with the integration.

• Tiptap’s AI Toolkit: A developer-assembled collection of tools and extensions that give AI agents the ability to read, edit, and interact with Tiptap documents with schema awareness. These must be added and configured one feature (Extension) at a time. The UI, updates, and maintenance are completely managed by your development team. 

• Froala DIY: Introduced in Froala 5.1, AI Assist adds two AI-powered toolbar buttons to the editor: a chat popup (Ask Anything) and a one-click shortcuts dropdown (Edit Smarter). The plugin is LLM-agnostic; it provides a configurable request layer you point at your own backend. There's no managed AI infrastructure. Your team owns the model, the backend, the auth layer, and the prompt engineering.

Why your application's RTE needs native AI features

A Publishers Weekly survey found that 87% of writers reported a productivity boost after adopting AI tools, and Nielsen Norman Group research found that professionals using AI wrote 59% more business documents per hour. 

What these numbers don't tell you is where the value comes from inside a specific application, which is use case dependent. The right AI feature depends entirely on what users are doing in your app.

Table of AI-enabled rich text editor application use cases

These are just a few of the use cases for AI-enabled rich text editors in an application.

AI text generation and conversational chat

Text generation is the baseline expectation. The more meaningful question is whether it happens in isolation or in the context of what the user is working on.

• TinyMCE AI includes:
  • An available chat panel with full document awareness and conversation history.
  • Users can carry on a multi-turn dialogue, and the AI understands what's in the document. 
  • The chosen AI can generate, expand, or restructure content from the context, without users copy-pasting anything in. 
  • Developers can also configure file and URL upload support, so users can add external source materials to their conversations.
• Tiptap’s AI kit includes: 
  • The ability to insert, patch, and stream content directly into the document model with schema awareness. 
  • The AI understands custom nodes (tables, headings, custom components) and generates content that fits those structures. 
  • An autocomplete extension also triggers inline suggestions, similar to GitHub Copilot.
• Froala’s AI Assist includes:
  • An Ask Anything chat popup that opens inside the editor.
  • Allowing users to generate content, expand ideas, or ask contextual questions. 
  • You build and host the AI backend it connects to, and own all prompt logic and maintenance. (This is not a managed integration. The plugin handles editor-side wiring only.)

AI editing, rewriting, and quick actions

This is where the brand voice concern is most acute: product managers worry that AI rewrites will produce generic, off-brand output. The answer is whether the editor lets developers control the prompt.

• TinyMCE: TinyMCE AI handles this through context-aware Quick Actions: predefined commands that apply directly to selected text. Highlight a paragraph, trigger a quick action (make concise, change tone, expand, simplify), and the transformation happens in place. The prompts behind each action are fully customizable, so "change tone to professional" reflects your product's voice guidelines, not a generic LLM default. Developers can add, remove, or rename Quick Actions entirely through the TinyMCE configuration.

• Tiptap: Tiptap supports rephrasing, structural edits (converting prose to a list, moving sections), and targeted rewrites on selection. AI-generated edits surface as suggestions in a Google Docs-style track-changes interface. Users can accept or reject before anything lands. 

• Froala: AI Assist's Edit Smarter dropdown applies tone changes and translations to selected text in one click, with no prompt required. Tone options and translation targets are configurable via aiAssistToneOptions and aiAssistTranslateOptions, but each requires its own implementation work.

AI review

Generation and rewriting produce content. AI review is what catches the errors that slip through. 

• TinyMCE: TinyMCE AI's Review mode runs automated quality checks across a document and surfaces inline suggestions for grammar, style, tone, and readability. Users preview all changes before accepting, so nothing is applied automatically. Review is independently configurable from chat and quick actions, and the review criteria can be shaped through custom prompts to enforce brand style guidelines: flag passive voice, enforce a reading level, catch tone drift. 

Neither Tiptap nor Froala has a native equivalent. Tiptap's suggestion workflow catches edits AI makes, but doesn't proactively audit the document. Froala's AI Assist has no review mode; document-wide quality checking would require a custom build.

👉 Try it yourself: Check out the TinyMCE AI demo. 

Custom prompt configuration and model flexibility

• TinyMCE: TinyMCE AI is a fully managed service. Requests route through the AI subsystem, with OpenAI, Anthropic's Claude, and Google Gemini selectable at the integrator level. Developers control which models their users can access and at what tier. Quick action prompts are fully customizable, chat can be primed with system-level instructions, and feature access can be gated by user role via JWT tokens.

The tradeoff: Teams that need a self-hosted or proprietary LLM can't use the cloud-hosted version. Self-hosted with bring your own AI (BYOAI) support is on the TinyMCE AI roadmap for later in Q2 2026. 

• Tiptap: Tiptap's AI Toolkit is framework-agnostic, compatible with OpenAI, Anthropic, LangChain, or any provider that outputs text. Business plan subscribers can connect self-hosted or proprietary LLM backends. The Toolkit is GDPR-neutral as a client-side library, meaning data handling is fully managed by your team and your chosen provider. 
• Froala: AI Assist is LLM-agnostic and connects to any backend via aiAssistEndpoint or a custom aiAssistRequest function, so model choice is unrestricted. The tradeoff is full ownership: the model, backend, auth layer, prompt engineering, and ongoing maintenance are all your team's responsibility.

Comparison table: AI features in TinyMCE, Tiptap, and Froala

Here's a quick summary of AI feature availability across the three editors.

Wrap up: Which AI approach is right for your application?

• Choose TinyMCE AI if: You need a complete, production-ready AI writing environment without building custom infrastructure. TinyMCE AI is the strongest choice for applications where content quality and consistency matter, and where you can't afford to dedicate engineering resources to maintaining a custom AI integration.
• Choose Tiptap AI Toolkit if: You're building a developer-first or AI-native application and need granular control over how AI agents interact with your document model. The schema-aware architecture is built for complex content structures, and the accept/reject suggestion workflow suits applications where content integrity is foremost.
• Choose Froala with a custom AI build if: Your team has strong developer resources and requirements specific enough that neither managed approach fits. Froala's flexibility is real, but it comes with full ownership of the implementation.

If you're still in the evaluation stage, the fastest way to find out if TinyMCE AI fits your requirements is to try it. TinyMCE AI is available as an add-on. Enable it, configure a few quick actions, and see how it performs in your use case. Start your TinyMCE free trial today.

Frequently asked questions

What does "AI in a rich text editor" actually mean?

AI in a rich text editor means the AI is embedded directly in the editing interface, with awareness of the document's content. Unlike standalone tools like ChatGPT, a native RTE AI can act on selected text, preserve formatting, insert suggestions at the correct cursor position, and participate in multi-turn conversations about the document, without the user having to copy and paste content between tools.

Can't I just connect an LLM API to my editor myself?

You can, but building a custom AI integration requires your team to handle JSON parsing, streaming responses into the editor, cursor-position awareness, UI management, and ongoing maintenance as LLM APIs evolve. A native plugin handles all of this out of the box. The real cost is developer time: both the initial build and ongoing upkeep, which quickly exceeds the cost of a managed plugin for most teams.

Does TinyMCE have a native AI chat interface?

Yes. TinyMCE AI includes a persistent chat panel with full document awareness and conversation history. Users can carry on multi-turn dialogues, and the AI understands the entire document, not just selected text. Developers can also configure file and URL upload support so users can bring external source materials into their conversations. No custom backend is required.

Does Tiptap have a built-in AI chat interface?

No. Tiptap's AI Toolkit does not include a native chat interface. It provides schema-aware tools that allow AI agents to read, edit, and interact with the document model directly, and includes an autocomplete extension that delivers inline suggestions. Any conversational UI must be built and maintained by your development team.

Which rich text editor has an AI review or proofreading mode?

Of the three editors compared here, only TinyMCE includes a native AI review mode. TinyMCE AI's Review feature runs automated quality checks across the full document and surfaces inline suggestions for grammar, style, tone, and readability, with a preview-before-accept workflow. Neither Tiptap nor Froala offers a native equivalent: document-wide quality checking in either would require a custom build.

Can I use my own LLM or a self-hosted model with these editors?

It depends on the editor. Froala's AI Assist is fully LLM-agnostic: you point it at any backend via a configurable endpoint, with complete ownership of the model and infrastructure. Tiptap's AI Toolkit also supports self-hosted or proprietary LLM backends on its Business plan, and is compatible with OpenAI, Anthropic, and LangChain. TinyMCE AI currently routes through a managed cloud service with OpenAI, Claude, and Gemini, and self-hosted support is on the roadmap for Q2 2026.

Which AI-enabled rich text editor is easiest to integrate?

TinyMCE AI is the fastest to integrate. It is a fully managed, drop-in plugin that requires no custom AI backend, no prompt engineering infrastructure, and no ongoing maintenance from your team. Froala's AI Assist requires the most setup: your team owns the entire backend, model selection, authentication layer, and prompt logic. Tiptap sits in between, with each feature added as a separate extension and your team managing the UI and updates.