Build vs Buy: The Real Cost of Building a Rich Text Editor in 2026

Build vs Buy: The Real Cost of Building a Rich Text Editor in 2026

Every year, engineering leaders face the same question: "Should we build our own rich text editor or buy one?" And every year, teams underestimate the true cost of building — leading to blown timelines, exhausted engineers, and features that were supposed to be "just an editor" consuming 15-30% of an entire product's engineering budget. This guide breaks down the real build vs buy math for 2026 with concrete numbers, honest edge cases, and an actual decision framework — not marketing copy.

We analyzed the 8-week reality of building a modern rich text editor from scratch, benchmarked against buying alternatives like Eddyter, TipTap, CKEditor 5, and TinyMCE. Every cost estimate is based on senior React developer rates ($100-$150/hour in 2026), real integration time data from teams that have shipped both paths, and the hidden ongoing costs most build-vs-buy analyses skip entirely. The goal: give you the numbers your CFO needs to make a defensible decision.

The short answer: Building your own rich text editor in 2026 costs $75,000-$155,000 over 3 years for a production-ready implementation with AI, mobile UX, accessibility, and ongoing maintenance. Buying Eddyter costs $432-$2,124 over 3 years ($12-$59/mo flat pricing). Buying TipTap Cloud + AI Toolkit costs $23,000-$45,000 over 3 years. Building only makes sense in 5-10% of cases where the editor IS your product's core differentiator (Notion-clone, custom CMS, editor-first startup). For every other case, the math says buy.

🎥 See modern editor setup that skips the build entirely: What is Eddyter? Why Developers Are Switching in 2026

Why the Build vs Buy Question Keeps Coming Up

Engineering leaders face the build-vs-buy editor decision because of three predictable triggers:

1. "The editor libraries are too expensive"
Someone sees TipTap Cloud pricing ($49-$999/mo) and does mental math: "We could build this for the same money in 3 months." This is where most build decisions start — and this is where most build decisions go wrong.

2. "We need something custom that no editor supports"
A specific requirement (structured content model, unique document format, custom workflow) makes an existing editor feel inadequate. This is sometimes true. Often, the perceived customization gap is solvable with existing editors.

3. "Our senior engineer thinks it'll take 2 weeks"
Senior engineers with strong React fundamentals genuinely believe they can build a rich text editor in 2 weeks. What they build in 2 weeks works for their internal demos. What ships to production is 8-16 weeks later.

Understanding why these triggers lead to expensive mistakes requires understanding what a "production-ready rich text editor" actually includes in 2026.

For deeper context on why building specifically kills startups, see Why Building Your Own Rich Text Editor Is a Startup Killer.

What "Production-Ready Rich Text Editor" Means in 2026

The 2026 baseline for a rich text editor users won't complain about includes 12 core capabilities. Missing any of them creates a support ticket avalanche.

The 2026 editor feature baseline:

1. Rich text formatting — bold, italic, underline, headings, alignment, indent
2. Lists — bullets, numbered, task lists, nested up to 5 levels
3. Tables — cell merging, column/row resizing, keyboard navigation
4. Images — upload, drag-and-drop, resize, alt text, captions
5. Links — auto-detect URLs, custom link editor, external link handling
6. Copy-paste from Word — preserves formatting from DOCX (this alone is 2-3 weeks of edge-case work)
7. Undo/redo history — reliable across React re-renders, keyboard shortcuts
8. Mobile-optimized UX — touch gestures, floating toolbars, virtual keyboard handling
9. Accessibility — WCAG 2.1 AA compliance (keyboard navigation, screen readers, ARIA)
10. AI writing features — chat, autocomplete, tone refinement (user expectation in 2026)
11. Real-time collaboration — increasingly expected for team products
12. Semantic HTML output — clean HTML that works across CMS themes

Miss any three of these, and users notice. Miss the AI features specifically, and your product feels outdated within 6 months of launch compared to Notion AI, ChatGPT Canvas, and Grammarly.

Now the honest question: what does building all 12 actually cost?

The Real Cost of Building a Rich Text Editor in 2026

Here's the timeline breakdown from teams that have actually built rich text editors in the last two years. Numbers assume a senior React developer at $100-$150/hour (2026 US rates) or $60-$90/hour (2026 international senior rates).

Phase 1: Foundation (Weeks 1-2)

Task: Choose a framework (Lexical, Slate, ProseMirror, TipTap Core), set up TypeScript, basic contentEditable integration, minimal toolbar with 5-10 formatting buttons.

Time: 2 weeks (80 hours)
Cost: $8,000-$12,000

This is what senior engineers estimate as "the whole project." It's actually 15% of the whole project.

Phase 2: Feature Completion (Weeks 3-5)

Task: Tables (2-3 days), images with upload (3-4 days), links (2 days), lists with proper nesting (2 days), keyboard shortcuts (2 days), undo/redo history (2-3 days), full toolbar with 25-40 buttons (3-4 days).

Time: 3 weeks (120 hours)
Cost: $12,000-$18,000

This is where teams realize what "production-ready" means. Every feature has 5-10 edge cases.

Phase 3: Copy-Paste Handling (Weeks 6-7)

Task: Handle paste from Microsoft Word (preserves formatting, tables, images), Google Docs (different HTML output), Excel (table detection), other websites (sanitization), plain text fallback.

Time: 2 weeks (80 hours)
Cost: $8,000-$12,000

This is where teams say "Wait, TinyMCE has PowerPaste — that's why it costs $79/mo." Yes. That's why.

Phase 4: Mobile UX (Weeks 8-9)

Task: Touch gestures, floating toolbars that don't get obscured by virtual keyboard, mobile-safe copy/paste, iPad-specific handling, Android quirks.

Time: 2 weeks (80 hours)
Cost: $8,000-$12,000

Optional if you're B2B enterprise. Not optional if you're B2C or SMB SaaS.

Phase 5: Accessibility Compliance (Week 10)

Task: WCAG 2.1 AA compliance — keyboard navigation, ARIA live regions, focus management, screen reader announcements, high-contrast support.

Time: 1 week (40 hours)
Cost: $4,000-$6,000

Skip this and you can't sell to enterprise, government, or education customers.

Phase 6: AI Writing Features (Weeks 11-13)

Task: Streaming chat panel, ghost text autocomplete, tone refinement, prompt engineering iteration, cost controls (rate limiting), model switching (OpenAI vs Anthropic), UI for AI interactions.

Time: 3 weeks (120 hours)
Cost: $12,000-$18,000

For details on building AI writing features specifically, see How to Add AI Writing Features to Your React App.

Phase 7: Testing, Bug Fixes, Polish (Weeks 14-16)

Task: Cross-browser testing (Chrome, Firefox, Safari, Edge), cross-device testing (iOS, Android, iPad), edge case fixes discovered during QA, performance optimization for large documents.

Time: 3 weeks (120 hours)
Cost: $12,000-$18,000

Total build time: 16 weeks (640 hours)
Total build cost: $64,000-$96,000 at US senior dev rates
Total build cost: $38,000-$58,000 at international senior dev rates

But that's just the initial build. The real cost includes what happens after.

The Hidden Ongoing Costs Nobody Includes

Post-launch, your custom editor becomes a permanent line item on your engineering budget.

Maintenance Costs (Ongoing)

React version upgrades — Every React major (17 → 18 → 19 → 20) requires editor compatibility fixes. React 19 broke several editor patterns; teams reported 1-2 weeks of work per major React upgrade. Cost: $4,000-$8,000 per React version.

Dependency updates — ProseMirror updates, Slate updates, Lexical updates all require compatibility work. Cost: 4-8 hours per month.

Bug fixes — Users find edge cases you missed. Copy-paste from a specific email client, formatting on a specific mobile device, etc. Cost: 8-16 hours per month.

New feature requests — Users want mentions, comments, real-time collab, emojis, etc. Cost: 20-40 hours per feature.

Security patches — Editor libraries occasionally have XSS vulnerabilities that need patching. Cost: 4-8 hours per incident, 2-3 incidents per year.

Total monthly maintenance: 24-48 engineering hours = $2,400-$7,200/month
Annual maintenance: $28,800-$86,400/year

Total 3-Year Cost of Building

At international senior dev rates: $88,000-$220,000 over 3 years.

For teams thinking "our engineers are already on payroll, so this is 'free'" — every hour they spend maintaining an editor is an hour they don't spend on your actual product. That opportunity cost is real, even if it doesn't show up on the payroll spreadsheet.

For build-vs-buy analysis specific to startups, see Why Building Your Own Rich Text Editor Is a Startup Killer.

The Real Cost of Buying: Editor Pricing at Scale

Here's what buying an editor actually costs in 2026, honestly compared across major options.

Option 1: Eddyter — Flat Pricing

• Starter: $12/mo ($144/year) — 3,000 loads/mo, Eddyter branding
• Pro: $29/mo ($348/year) — 2GB storage, white-label
• AI Pro BYOK: $39/mo ($468/year) — AI with your own OpenAI/Anthropic key
• AI Pro Managed: $59/mo ($708/year) — 1,000 AI credits included
• Enterprise: Custom (contact sales)

3-year total range: $432-$2,124 for solo to small teams. Enterprise typically $5,000-$20,000/year.

Includes: AI features, tables, images, block reordering, mobile UX, 6 frameworks (React, Next.js, Vue, Angular, Svelte, Laravel), maintenance handled by Eddyter.

Option 2: TipTap — Headless + Cloud + AI Add-Ons

• MIT Core: Free (but you still build the UI — 2-4 weeks engineering time)
• Cloud Start: $49/mo (500 documents cap)
• Cloud Team: $149/mo (5,000 documents cap)
• Cloud Business: $999/mo (50,000 documents cap)
• AI Toolkit: ~$500+/mo (contact sales, in addition to Cloud)

3-year total for typical growing SaaS:

• Cloud Team + AI Toolkit + Custom UI build: $43,364
• Cloud Business + AI Toolkit + Custom UI build: $73,564

Includes what TipTap sells you. You still build all the UI, extensions, and integrations. For deeper analysis, see TipTap Pricing Explained 2026.

Option 3: TinyMCE — Editor-Load Pricing

• Free Core: 1,000 loads/mo
• Essential: $79/mo (5,000 loads)
• Professional: $145/mo (20,000 loads)
• AI Assistant: ~$120+/mo (separate paid add-on)
• Overages: $40 per 1,000 additional loads

3-year total for growing SaaS: $10,000-$28,000 including overages and AI add-on.

Best-in-class for Word paste handling. See TinyMCE Alternative.

Option 4: CKEditor 5 — Enterprise Tier

• Free (GPL): For open-source projects only
• Cloud Start: $144/mo
• Cloud Standard: $864/mo
• Enterprise: Custom pricing (typically $5,000-$20,000/year)

3-year total for enterprise: $15,000-$60,000+

Includes SOC 2 Type II certified today, HIPAA compliance, real-time collaboration built in. Best pick for regulated industries. See CKEditor Alternative.

3-Year TCO Comparison Summary

For a growing SaaS with 500-1,000 users needing AI, mobile UX, and multi-framework support:

Eddyter saves $8,000-$369,000 over 3 years vs the alternatives at this scale.

For deeper comparisons, see Eddyter vs TipTap 2026, Eddyter vs TinyMCE 2026, and Eddyter vs CKEditor 2026.

When Building Actually Makes Sense (Honest Carve-Outs)

Building your own editor is the right decision in specific cases. Here are the honest scenarios where the math changes.

Scenario 1: The Editor IS Your Product

If you're building Notion, Coda, Craft, or a competing document platform where the editor is the entire user experience, custom development is justified. Your differentiation depends on unique editor behaviors that no existing library provides.

Real examples: Notion (custom-built), Coda (custom-built), Substack (partial custom), Craft (custom-built). These are companies where "editor investment = product investment" makes sense.

Scenario 2: Unique Document Model

If your product requires document structures no existing editor supports — legal contracts with clause-level metadata, music notation, structured data with validation rules, medical records with regulated fields — building on Lexical or Slate as a foundation can be justified.

The math: Custom document model + Slate/Lexical foundation + minimal UI = ~4-6 weeks build. Still expensive, but the alternative (forcing an existing editor to do something it wasn't designed for) is often worse.

Scenario 3: Extreme Performance Requirements

If your editor needs to handle 10,000+ line documents, real-time collaborative editing with hundreds of simultaneous users, or specialized rendering (charts inline, mathematical equations), custom builds on Lexical can outperform packaged editors.

Scenario 4: Regulated Industry With Custom Compliance

If your compliance requirements are so specific that no packaged editor's SOC 2, HIPAA, or GDPR audit fits (rare, but happens for defense contractors and specific financial services), custom builds give you full audit control.

Scenario 5: You Have Editor Engineering Expertise on Team

If your team already includes engineers with deep rich-text-editor experience (Lexical maintainers, ProseMirror contributors), the ramp-up time and edge-case knowledge you'd normally pay for is already on payroll. Build cost drops meaningfully.

In these 5 scenarios, building can make sense. In every other scenario — MVP validation, feature-in-a-broader-product, editing as one workflow among many — the math strongly favors buying.

When Buying Wins (The 95% Case)

For most SaaS products in 2026, buying wins. Specifically:

The Editor Is a Feature, Not the Product

Your product is a project management tool, CRM, help desk, marketing automation platform, or dashboard. Users create some content in an editor, but editing isn't why they use your product. Building a custom editor here means investing in infrastructure instead of your product's core value.

You Have 12-18 Month Runway

Startups with runway constraints can't afford 4-8 months of senior engineering on editor infrastructure. Every month spent on editor = one month less on features that differentiate your product.

Time-to-Market Matters

If shipping your MVP in 8 weeks vs 20 weeks changes your fundraising trajectory, your customer conversation cadence, or your competitive positioning, buying wins.

You Don't Have Editor Engineering Expertise

Editor engineering is a specialized skill. Teams learning it on the job produce editors with edge cases that hurt user experience. Editor libraries are built by teams who've spent years understanding those edge cases.

AI Features Are Table Stakes

Users in 2026 expect AI writing help. Building AI features is 3+ weeks of engineering, ongoing prompt engineering iteration, and OpenAI/Anthropic API bill management. Eddyter includes AI at $39-$59/mo. That's cheaper than one senior engineer's daily rate.

You Need Multi-Framework Support

If your product uses React + Angular admin panels, or is planning migration between frameworks, custom builds mean re-implementing for each framework. Eddyter's 6-framework support (React, Next.js, Vue, Angular, Svelte, Laravel) works across all of them with one API key.

For SaaS startup guidance specifically, see Best Rich Text Editor for SaaS Startups 2026.

The Build vs Buy Decision Framework

Use this framework to run your own analysis. Answer honestly.

Question 1: Is the editor your product's core differentiator?

• Yes → Consider building. Move to Question 2.
• No → Buy. Move to editor selection.

Question 2: Do you have 4-8 weeks of senior engineering bandwidth available now?

• Yes → Consider building. Move to Question 3.
• No → Buy. Runway constraints make building expensive.

Question 3: Do you have editor engineering expertise on team?

• Yes → Consider building. Move to Question 4.
• No → Buy or hire specialist consultants. Learning editor engineering on the job produces edge cases.

Question 4: Do your requirements genuinely exceed what existing editors provide?

• Yes → Build with Lexical or Slate as foundation.
• No → Buy. You're solving a problem existing editors already solved.

Question 5: Can you afford $154K-$371K over 3 years for editor infrastructure?

• Yes → Build path is viable.
• No → Buy. Even at international senior dev rates ($88K-$220K), custom builds are expensive.

If you answered "Yes" to all five questions, custom building may make sense for your specific case. If you answered "No" to any, buying is almost certainly the better path.

For related decision frameworks, see Top 10 Rich Text Editors for Developers 2026 and Best Rich Text Editor for React 2026.

Quick Start: 10-Minute Buy Path with Eddyter

If your build vs buy analysis pointed to buying, here's the fastest path to a working editor. This is the 10-minute integration many teams underestimate.

bash

1
npm install eddyter

jsx

1
2
3
4
5
6
7
8
9
10
11
12
13
14
15
16
17
18
19
20
21
22
23
"use client";
import {
  ConfigurableEditorWithAuth,
  EditorProvider
} from 'eddyter';
import 'eddyter/style.css';
export default function Editor() {
  const apiKey = 'YOUR_API_KEY';
  return (
    <EditorProvider>
      <ConfigurableEditorWithAuth
        apiKey={apiKey}
        onChange={(html) => saveToDatabase(html)}
        toolbarOptions={{
          enableTextFormatting: true,
          enableTableOptions: true,
          enableAIChat: true,
          enableUndoRedo: true
        }}
      />
    </EditorProvider>
  );
}

Get your API key at eddyter.com/user/license-key. Working editor with AI, tables, images, block reordering, and mobile UX in 10 minutes. Same feature set that takes 16 weeks to build custom.

🎥 See real setup in action: Integrate Eddyter in 30 Minutes with Cursor, Claude, Lovable

Common Build vs Buy Pitfalls

Teams making the wrong build vs buy call usually fall into one of these patterns.

Pitfall 1: "We'll Build a Simple Version First"

The "simple version" usually ships in 2 weeks and works for demos. Then users find edge cases. Then you spend 6 months adding to the "simple" version. Then it's not simple anymore. Committing to build means committing to the full 16-week build, not a "quick MVP."

Pitfall 2: "Our Engineers Are on Payroll, So It's Free"

Every hour of editor engineering is an hour not spent on your product's differentiation. Opportunity cost is real. If your engineers spend 640 hours on editor infrastructure over 4 months, that's 4 months of feature velocity lost.

Pitfall 3: "We'll Add AI Later"

Users in 2026 expect AI writing features. Products without AI feel dated within 6 months of launch. Building AI retrospectively means retrofitting your custom editor's architecture. Often harder than the original build.

Pitfall 4: Underestimating Copy-Paste Complexity

Microsoft Word paste is a 2-3 week engineering problem. Teams routinely allocate 2 days for it, discover the reality, and blow their timeline by weeks.

Pitfall 5: Skipping Accessibility Until Enterprise Deals

Building accessibility retroactively costs 2-3x more than building it from the start. Also blocks enterprise, education, and government deals until compliance is achieved.

Pitfall 6: Assuming Framework Support Is Easy to Add Later

Custom editors built for React are hard to port to Vue, Angular, or Svelte later. Multi-framework support isn't a "future feature" — it requires framework-agnostic architecture from day one.

Pitfall 7: Estimating From "Basic contentEditable Demo"

contentEditable gets you a working demo in a day. That demo is 5% of the actual work. Estimating from the demo timeline predicts 4-8 weeks. Reality is 16+ weeks.

When to Reconsider Your Build vs Buy Decision

Build decisions aren't permanent. If your team is already building a custom editor and any of these apply, reconsider the analysis:

• Original 4-week estimate has become 12+ weeks
• Editor engineering is consuming 20%+ of engineering capacity
• User complaints about editor bugs are recurring
• Adding new editor features takes weeks, not days
• Team is missing product feature deadlines because of editor work
• React/framework upgrades are being blocked by editor compatibility

If two or more of these are true, you're paying build costs without capturing the value that justified the build decision. Migration to a packaged editor may recover months of engineering capacity.

Migration from a custom editor to Eddyter typically takes 1-2 weeks because both output HTML. That's less than the ongoing monthly maintenance burden of most custom editors.

For migration considerations, see Draft.js Is Dead: Best Draft.js Alternatives in 2026 and Best TipTap Alternatives 2026.

Frequently Asked Questions

1. What's the real cost of building a rich text editor in 2026?

Building a production-ready rich text editor in 2026 with modern features (AI, mobile UX, accessibility, tables, images, copy-paste from Word) costs $154,000-$371,000 over 3 years at US senior developer rates ($100-$150/hour), or $88,000-$220,000 at international senior rates. This includes 16 weeks of initial build ($64,000-$96,000) plus ongoing maintenance ($28,800-$86,400/year). Buying Eddyter costs $432-$2,124 over 3 years — a 99% cost reduction for most teams.

2. How long does it take to build a rich text editor?

For a production-ready implementation with modern 2026 features: 16 weeks minimum. Broken down: Foundation (2 weeks), feature completion including tables/images/lists (3 weeks), copy-paste handling (2 weeks), mobile UX (2 weeks), accessibility compliance (1 week), AI writing features (3 weeks), testing and polish (3 weeks). Teams routinely estimate 4-8 weeks and discover the reality after starting. The "quick MVP editor" pattern almost always becomes the full 16-week build.

3. Should I build or buy a rich text editor for my SaaS?

For 95% of SaaS teams, buy. Custom builds only make sense when: (1) the editor IS your product's core differentiator (Notion-clone, custom CMS), (2) you have 4-8 weeks of senior engineering bandwidth available, (3) your team has editor engineering expertise, (4) your requirements genuinely exceed existing editors, and (5) you can afford $154K-$371K over 3 years. If any of these are "no," buying wins on cost, speed, and quality. Eddyter costs $12-$59/mo flat — dramatically less than any custom build's monthly maintenance alone. See Best Rich Text Editor for SaaS Startups 2026.

4. Is building a rich text editor cheaper than buying at scale?

No. At scale, buying is dramatically cheaper. Example math at 1,000 users: Custom build over 3 years = $154K-$371K. TipTap Cloud Team + AI Toolkit + Custom UI = $43K. TinyMCE Professional = $28K. Eddyter AI Pro Managed = $2,124. Even at extreme scale (100,000+ users where custom licensing negotiations happen), buying via Eddyter Enterprise typically costs 60-80% less than maintaining a custom editor. The "build to save money at scale" argument doesn't survive contact with the actual maintenance burden.

5. What are the hidden costs of building a rich text editor?

Six major hidden costs teams miss: (1) Copy-paste from Microsoft Word — 2-3 weeks alone, (2) Mobile UX — 2-3 weeks including touch gestures and virtual keyboard, (3) Accessibility compliance — 1 week for WCAG 2.1 AA, (4) React version upgrades — 1-2 weeks per major React version, (5) Ongoing bug fixes and edge cases — 8-16 hours/month indefinitely, (6) AI feature development — 3+ weeks plus ongoing prompt engineering. Total hidden costs typically double the "sticker price" of the initial build estimate.

6. Can I build a "minimum viable" editor and scale later?

In theory yes, in practice no. Users find edge cases immediately. The "minimum viable" editor ships in 2 weeks, generates support tickets for 6 months, and consumes engineering capacity indefinitely. The 2026 user expectation is "editor works like Notion" — anything less feels broken. Teams that ship "MVP editors" typically spend 6-12 months in reactive bug-fixing mode before either migrating to a packaged editor or committing to the full build. Skip the MVP editor phase — either commit to full build or buy packaged.

7. Which framework should I use if I'm building custom?

For custom editor builds in 2026, choose from three foundations: (1) Lexical (MIT, Meta) — modern architecture, best React 19 support, actively maintained by Meta, official Draft.js successor. Best default choice. (2) Slate (MIT) — React-native with maximum document model flexibility. Best for unique document structures. (3) ProseMirror (MIT) — mature, powerful, but steep learning curve. Best for teams with rich text editor engineering expertise. Note: Eddyter is built on Lexical, so choosing Lexical and eventually migrating to Eddyter is a natural upgrade path if the custom build's costs become unsustainable.

8. When does building actually make sense in 2026?

Building custom makes sense in 5 specific scenarios: (1) The editor IS your product (Notion, Coda-style tools), (2) Unique document model requirements no existing editor supports (legal contracts with metadata, music notation, structured medical records), (3) Extreme performance requirements (10,000+ line documents, real-time collab with hundreds of concurrent users), (4) Regulated industry with custom compliance needs, (5) Your team already has deep editor engineering expertise. For everything else — MVP validation, feature-in-broader-product, editing as one of many workflows — buying wins.

9. How do I calculate the 3-year TCO of buying an editor?

Simple math for buying: Editor monthly cost × 36 months + any per-load overages + any AI add-on costs. Eddyter Starter: $12 × 36 = $432. Eddyter AI Pro Managed: $59 × 36 = $2,124. TipTap Cloud Team + AI Toolkit: ($149 + $500) × 36 = $23,364. TinyMCE Professional + AI: ($145 + $120) × 36 = $9,540 + overages. CKEditor Business + AI: ($864 + custom AI) × 36 = ~$45,000. Compare against custom build 3-year cost of $154K-$371K to see the delta.

10. Can I migrate from a custom editor to a packaged one later?

Yes, usually in 1-2 weeks. Because most modern editors (packaged and custom) output HTML, content migrates cleanly. Steps: (1) Extract HTML from your custom editor via its serialization API, (2) Install the packaged editor (Eddyter, TipTap, TinyMCE, or CKEditor), (3) Pass extracted HTML as initial content, (4) Wire up onChange to save updated HTML back, (5) Deprecate custom editor code. The migration itself is straightforward. The strategic question is whether ongoing maintenance capacity recovery justifies the migration effort — for most teams, it does after 12-18 months of custom editor maintenance.

Ready to Skip the 16-Week Editor Build?

Stop spending engineering runway on editor infrastructure. Drop Eddyter into your React or Next.js app today — AI, tables, mobile UX, block reordering, and semantic HTML output all included. 10 minutes to shipping.

👉 Try Eddyter free at eddyter.com
📚 Read the docs
🎥 Watch the intro video | Watch the 30-min integration guide