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Introduction
Rich Text Editor Migration Checklist 2026 (Any Editor to Any Editor)
Migrate any rich text editor to any other in 2026 with this 47-step checklist. Covers content mapping, HTML/JSON conversion, feature parity audit, testing strategy, and rollback plan — safely.
TL;DR
Migrate rich text editors in 2026 with this 47-step checklist: content mapping (7 steps), feature parity audit (11 steps), migration execution (14 steps), testing (8 steps), rollout (7 steps). Zero data loss.
Content
Rich Text Editor Migration Checklist 2026 (Any Editor to Any Editor)
Migrating a rich text editor is one of the most technically risky changes you can ship. Content stored across thousands or millions of user documents must survive the migration intact. Formatting must map correctly across two different data models. Custom features must find equivalents in the new editor. Users must not lose work mid-transition. Get it wrong and you'll spend the next six months apologizing to customers, restoring backups, and explaining data loss to your CEO.
Get it right and users won't even notice the migration happened.
This guide is the definitive rich text editor migration checklist for 2026 — a 47-step process covering every migration scenario: TipTap to Lexical, CKEditor to Eddyter, TinyMCE to TipTap, Draft.js to anything (because Draft.js is deprecated), Quill to modern editors, or any other editor-to-editor migration you're planning. Every step includes the specific risk it prevents, the tooling that automates it, and the go/no-go criteria that decide whether you proceed or roll back.
The short answer: Rich text editor migrations succeed when you follow a systematic checklist and fail when teams skip steps to move faster. This 47-step checklist covers content mapping, feature parity auditing, migration execution, testing strategy, gradual rollout, and rollback planning. Use it as-is or adapt the phases to your specific migration pair.
🎥 See modern editor migration in action: What is Eddyter? Why Developers Are Switching in 2026
Why Editor Migrations Are Uniquely Risky
Before the checklist, understand why editor migrations fail more often than other technical migrations. Five specific characteristics make them harder than typical database migrations, framework upgrades, or API changes:
1. Content Is Irreplaceable User Data
Unlike migrating a caching layer or updating a framework version, editor content is user-generated work. A single corruption event can destroy months of a user's writing. There is no "we'll rebuild it from source" fallback — the content IS the source.
2. Data Models Rarely Match Exactly
TipTap outputs ProseMirror JSON. CKEditor outputs CKEditor 5 model JSON. Draft.js outputs Draft.js raw ContentState. Lexical outputs Lexical JSON. HTML output from each editor uses different conventions for lists, tables, code blocks, images, and inline formatting. Direct 1:1 conversion is impossible for anything beyond basic paragraphs.
3. Feature Coverage Differs
Your source editor may have features (mentions, embeds, comments, tracked changes, custom blocks) that don't exist in the target. Either you build those features, drop them, or degrade them — every choice affects users.
4. Migration Happens on Live Data
Unlike migrations you can run in a maintenance window, editor migrations must handle content that's actively being edited. Users don't accept "the editor is down for 48 hours." Migration must be zero-downtime.
5. Rollback Is Often Impossible
Once you've migrated content from Editor A's format to Editor B's format, converting back to Editor A's format usually loses fidelity. You must plan rollback strategies before starting — not after issues emerge.
For editor comparison analysis, see Best Lexical Alternative 2026, Best CKEditor Alternative for Modern Web Applications 2026, and Best TipTap Alternative 2026.
The 47-Step Migration Checklist (Overview)
Six phases across the migration lifecycle:
Phase | Steps | Duration | Purpose |
|---|---|---|---|
Phase 1: Discovery & Planning | 1-7 | Week 1 | Understand what you're migrating and why |
Phase 2: Feature Parity Audit | 8-18 | Week 2 | Map features from source to target editor |
Phase 3: Content Mapping | 19-25 | Week 3 | Define conversion rules for every content type |
Phase 4: Migration Execution | 26-33 | Weeks 4-5 | Build and run the actual conversion |
Phase 5: Testing & Validation | 34-41 | Week 6 | Verify migration correctness |
Phase 6: Rollout & Rollback | 42-47 | Weeks 7-8 | Gradual deployment with escape hatches |
Total: 6-8 weeks for a production migration with 10K-1M documents. Larger content volumes extend Phase 4 proportionally.
Phase 1: Discovery & Planning (Steps 1-7)
Step 1: Document Why You're Migrating
Write a one-page migration justification covering: current editor limitations (specific technical or business pain points), target editor advantages (specific capabilities gained), business impact (revenue, retention, or engineering velocity), and expected timeline. If you can't articulate why in one page, you're not ready to migrate.
Risk prevented: Migrating for cosmetic reasons that don't justify the risk.
Step 2: Inventory Your Current Editor Usage
Catalog every place your current editor appears in your product: main content areas, comment threads, form inputs, notification composers, admin tools, mobile apps, third-party integrations. Miss a location and users hit two different editors in the same product.
Risk prevented: Inconsistent editor experience post-migration.
Step 3: Count Documents and Content Volume
Query your database for total document count, average document size (bytes), largest document size, total content bytes, and content growth rate. This determines migration duration, infrastructure requirements, and whether batched or streaming migration is needed.
Risk prevented: Underestimating migration duration and infrastructure cost.
Step 4: Identify Custom Features and Extensions
List every custom feature built on top of your current editor: custom blocks, custom marks, custom toolbar buttons, custom keyboard shortcuts, custom paste handlers, custom image upload flows, custom mention systems, custom autocomplete, custom collaboration features. Each requires equivalent implementation or explicit deprecation.
Risk prevented: Discovering missing features after migration is live.
Step 5: Document Integration Points
List every system that produces or consumes editor content: server-side rendering, email templates, PDF exports, search indexing, content moderation, AI processing, mobile clients, external APIs. Each integration point must handle the new content format.
Risk prevented: Breaking integrations that consume editor output.
Step 6: Choose Target Editor
Based on Steps 1-5, select the target editor. Verify it handles your document volume, supports your custom features (or provides equivalents), integrates with your existing systems, and fits your budget. Common targets in 2026: Lexical (Meta's MIT-licensed framework, 4-6 weeks build), Eddyter (built on Lexical, 10-min setup, $12-$59/mo flat), TipTap (ProseMirror-based, 2-4 weeks build, $49-$999/mo Cloud plans).
Risk prevented: Migrating to an editor that doesn't fit your requirements.
For target editor comparisons, see 9 Best WYSIWYG Editors 2026, TipTap vs Slate 2026, and ProseMirror vs TipTap 2026.
Step 7: Get Executive Sign-Off
Document expected timeline, cost (engineering weeks × loaded rate), risk profile (data loss potential, user disruption), and rollback plan. Get signed approval from engineering leadership and product leadership before proceeding. Migrations without sign-off get killed halfway through, wasting all invested work.
Risk prevented: Political killed migration mid-flight.
Phase 2: Feature Parity Audit (Steps 8-18)
Step 8: Map Basic Formatting Features
Create a two-column spreadsheet: source editor features on left, target editor equivalents on right. Cover: bold, italic, underline, strikethrough, code (inline), superscript, subscript, text color, background color, alignment (left, center, right, justify), indent, outdent, line height.
Risk prevented: Missing basic formatting after migration.
Step 9: Map Block-Level Features
Continue the spreadsheet with block features: paragraph, headings (H1-H6), bullet lists, numbered lists, task lists (checkboxes), block quotes, code blocks (with language detection), horizontal rules, page breaks, callout blocks.
Risk prevented: Structural content damage during migration.
Step 10: Map Media Features
Add media rows: inline images, image galleries, videos (embedded), video (uploaded), audio, file attachments, figure captions, image resizing, image alignment, image cropping.
Risk prevented: Media orphaning or broken image links.
Step 11: Map Table Features
Tables are the highest-risk migration area. Document: basic tables, table headers, merged cells, cell alignment, cell background colors, table borders, resizable columns, sortable columns, complex nested tables.
Risk prevented: Table structure corruption (the most common migration failure mode).
Step 12: Map Link Features
Document link features: standard hyperlinks, link titles, target attribute (new tab), custom link colors, internal document links, anchor links, link previews, automatic URL detection.
Risk prevented: Broken navigation post-migration.
Step 13: Map Interactive Features
If your editor has interactive elements, document each: mentions (@user), hashtags (#topic), embedded polls, embedded forms, embedded code sandboxes, embedded iframes, custom widgets.
Risk prevented: Loss of interactive functionality.
Step 14: Map Collaborative Features
Document collaboration: real-time cursors, comments, tracked changes, suggestions, version history, presence indicators, conflict resolution, permissions. Not all editors support all of these.
Risk prevented: Collaboration workflow breakage.
Step 15: Map Custom Features
For every custom feature identified in Step 4, document: how it works currently, how it will work in the target editor, whether target editor supports it natively, whether you must rebuild it, and estimated rebuild effort (in engineering days).
Risk prevented: Custom features silently disappearing.
Step 16: Identify Deprecation Candidates
Review the parity spreadsheet. For features present in source but expensive to reimplement in target, decide: rebuild in target, deprecate publicly with user notice, or block the migration. Every kept feature adds migration cost — cut ruthlessly.
Risk prevented: Migration scope creep.
Step 17: Document User-Facing Changes
Write user-facing release notes explaining what will change, what will be deprecated, and how to adapt. Even "transparent" migrations create user perception changes — proactive communication builds trust.
Risk prevented: User confusion and support ticket flooding.
Step 18: Get Product Sign-Off on Feature Parity
Product leadership must accept the feature parity plan (including any deprecations) before you invest engineering time in Phase 3. Post-migration surprise deprecations cause customer escalations.
Risk prevented: Political conflict over lost features post-launch.
Phase 3: Content Mapping (Steps 19-25)
Step 19: Choose Migration Format Strategy
Three options: (1) Direct format-to-format conversion (source JSON to target JSON — fastest but complex mapping), (2) Via HTML intermediate (source → HTML → target — simpler but loses fidelity for anything HTML doesn't express), (3) Via Markdown intermediate (source → Markdown → target — simplest but loses most formatting). For most 2026 migrations, direct format-to-format is preferred for structured content, HTML intermediate for simple content.
Risk prevented: Choosing a lossy conversion path for high-fidelity content.
Step 20: Write Content Conversion Rules
For each content type in your parity spreadsheet, write a specific conversion rule. Example: "Source {type: 'heading', level: 1} maps to target {type: 'heading', attrs: {level: 1}}." Document every rule — leave nothing implicit.
Risk prevented: Ambiguous conversions producing inconsistent output.
Step 21: Handle Unmappable Content
Some source content has no target equivalent. Decide the fallback: convert to plain text (lossy but preserves content), convert to closest equivalent (may look wrong), convert to placeholder block ("[unsupported content — please recreate]"), or fail migration and require user intervention. Document the choice per content type.
Risk prevented: Silent content loss during conversion.
Step 22: Preserve Non-Content Metadata
Editor content isn't just formatted text — it includes metadata: created date, updated date, author, revision history, comments, mentions, tags. Ensure metadata migrates alongside content, not just the text.
Risk prevented: Losing document context and history.
Step 23: Handle Embedded External Content
External embeds (YouTube videos, tweets, code sandboxes) may not map cleanly. Options: preserve the URL and re-render in target editor, snapshot the embed as static content, or list embeds for manual review.
Risk prevented: Embeds breaking or becoming stale.
Step 24: Write the Conversion Function
Implement the conversion in a testable function. Standard pattern:
typescript
Risk prevented: Untestable conversion logic that hides bugs.
Step 25: Build a Reference Conversion Corpus
Assemble 50-100 representative documents from your production data (small, medium, large, complex, edge cases). This corpus becomes your validation set for testing.
Risk prevented: Testing only happy-path content and missing edge cases.
For migration-specific guides, see How to Migrate From TipTap to Lexical 2026 and How to Migrate From TinyMCE to a Modern Editor 2026.
Phase 4: Migration Execution (Steps 26-33)
Step 26: Build Dual-Write Infrastructure
Before running the migration, deploy dual-write capability: new content writes to both source and target formats simultaneously. This means during migration, all new content is created in both formats — no migration needed for new content, only historical content.
Risk prevented: Handling in-flight content changes during long migrations.
Step 27: Snapshot Source Data
Take a complete database snapshot of all editor content before starting migration. Store snapshot separately from production (different region, different account). This is your ultimate rollback path.
Risk prevented: Catastrophic data loss with no recovery option.
Step 28: Set Up Migration Infrastructure
Provision worker processes for batched migration: 4-16 parallel workers depending on content volume. Set up job queue (BullMQ, AWS SQS, or similar). Configure monitoring for job success/failure rates. Prepare dead-letter queue for failed conversions.
Risk prevented: Migration bottlenecks or silent failure accumulation.
Step 29: Run Migration in Staging First
Copy production data to staging environment. Run full migration against staging. Measure duration, error rate, output quality. Never run first migration in production.
Risk prevented: Discovering critical bugs against production data.
Step 30: Batch Migration by Age
Migrate oldest content first (least likely to be edited during migration). Then progressively newer content. This minimizes conflict with active users.
Risk prevented: Migrating hot content that's being actively edited.
Step 31: Track Migration Progress
Maintain a migration status table: document ID, migration status (pending/in-progress/completed/failed), migration timestamp, error messages if failed. Query this to know exactly what's been migrated at any moment.
Risk prevented: Losing track of migration state.
Step 32: Handle Failed Conversions
For failures, log the document ID, the error type, and the original content. Categorize failures: bug in conversion function (fix and retry), unsupported content (mark for manual review), corrupted source data (isolate and analyze).
Risk prevented: Silent failures accumulating unaddressed.
Step 33: Validate Migration Completion
Query for total document count in source, compare against total migrated. Reconcile any discrepancy before proceeding to testing phase. A discrepancy of even 0.1% (10 in 10K) is unacceptable for production content.
Risk prevented: Declaring migration complete while data is missing.
Phase 5: Testing & Validation (Steps 34-41)
Step 34: Automated Content Diff Testing
For your reference corpus (Step 25), render source content and migrated content side-by-side. Compute pixel-level diff, DOM structure diff, and text content diff. Flag any document with meaningful differences for manual review.
Risk prevented: Silent visual regressions.
Step 35: Automated Round-Trip Testing
Migrate source → target → back to source. Compare original to round-trip result. Any content that fails round-trip has irreversible conversion loss — decide if acceptable.
Risk prevented: Discovering irreversibility after committing to migration.
Step 36: Manual Content Review
Have humans review 100-500 randomly sampled migrated documents. Look for: formatting differences, missing content, broken images, table corruption, link failures. This catches issues automated testing misses.
Risk prevented: Automated tests passing while humans see visible problems.
Step 37: Feature Testing in Target Editor
For each feature in your parity spreadsheet (Steps 8-15), verify it works correctly against migrated content. Bold text renders as bold. Tables render as tables. Custom features function as expected.
Risk prevented: Feature-level bugs against migrated content.
Step 38: Performance Testing
Load migrated documents in the target editor. Measure: initial load time, editing responsiveness, memory usage, network requests. Target editor should perform equal or better than source. Regressions block launch.
Risk prevented: Performance regressions frustrating users.
Step 39: Integration Testing
Test every integration point from Step 5: SSR renders migrated content correctly, email templates work with new format, PDF exports produce correct output, search indexes new content correctly, mobile apps display migrated content.
Risk prevented: Breaking downstream systems.
Step 40: User Acceptance Testing (UAT)
Invite 5-20 real users to test the migrated experience in a preview environment. Ask them to edit real documents. Capture friction, confusion, or broken flows. Fix issues before broader launch.
Risk prevented: Users hating the new editor for reasons your team missed.
Step 41: Load Testing
Simulate production traffic against the target editor with migrated content. Verify server capacity, database performance, CDN caching. Migration often changes traffic patterns — validate infrastructure handles new patterns.
Risk prevented: Migration succeeding but infrastructure failing under load.
Phase 6: Rollout & Rollback (Steps 42-47)
Step 42: Deploy Feature Flag
Wrap the new editor in a feature flag. Roll out to 1% of users first. Monitor error rates, user support tickets, engagement metrics for 24-48 hours before expanding.
Risk prevented: Big-bang deployment amplifying any missed bug to 100% of users.
Step 43: Monitor Real-Time Metrics
During rollout, watch: JavaScript error rate, save success rate, user session duration, editor engagement metrics, support ticket volume, negative user feedback rate. Set thresholds that trigger auto-rollback.
Risk prevented: Slow-motion disasters going undetected.
Step 44: Progressive Rollout
Expand rollout: 1% → 5% → 25% → 50% → 100%. Wait 24-48 hours between each expansion, monitoring metrics. Any degradation triggers pause or rollback.
Risk prevented: Amplifying issues too quickly to react.
Step 45: Prepare Rollback Procedures
Document exactly how to roll back: which feature flag to flip, whether to restore from snapshot (Step 27), which database tables to swap, expected rollback duration. Test rollback procedures in staging before you need them.
Risk prevented: Not knowing how to roll back during a live incident.
Step 46: Communicate to Users
Announce the migration completion to users. Highlight new capabilities. Provide feedback channel. Acknowledge any known issues transparently — hiding issues damages trust more than the issues themselves.
Risk prevented: User confusion about visible changes.
Step 47: Post-Migration Audit
30-60 days post-migration, audit: total documents migrated vs. total documents in production, error rate on migrated content, user satisfaction scores, feature adoption metrics. Document lessons learned for future migrations.
Risk prevented: Repeating the same mistakes on next migration.
Migration Duration by Content Volume
Real-world migration timelines for typical projects:
Content Volume | Total Duration | Phase 4 (Execution) Alone |
|---|---|---|
< 10K documents | 4-6 weeks | 1-3 days |
10K-100K documents | 6-8 weeks | 3-7 days |
100K-1M documents | 8-12 weeks | 1-3 weeks |
1M-10M documents | 12-20 weeks | 3-8 weeks |
> 10M documents | 20-40 weeks | 8-16 weeks |
Total duration includes all six phases. Phase 4 (execution) is what most teams underestimate — the actual conversion runtime plus retry cycles for failures.
Common Migration Scenarios (Editor-Specific Notes)
From Draft.js to Anything
Draft.js is deprecated in 2026 — migrations are urgent. Most Draft.js users migrate to Lexical (same team lineage from Facebook) or Eddyter (built on Lexical). Draft.js ContentState converts cleanly to Lexical JSON. Use the @lexical/headless package for programmatic conversion.
For detailed migration paths, see Best Draft.js Alternative 2026.
From TipTap to Lexical or Eddyter
TipTap's ProseMirror JSON is more structurally complex than Lexical JSON. Direct conversion works for standard nodes but requires custom mapping for TipTap extensions. Consider HTML intermediate for content-heavy migrations, and direct format-to-format for structured content.
See How to Migrate From TipTap to Lexical 2026 for step-by-step guidance.
From CKEditor 5 to Modern Editors
CKEditor 5's model differs significantly from ProseMirror-based editors. HTML intermediate is usually the pragmatic path. CKEditor's plugin architecture doesn't map cleanly to Lexical/TipTap — plan to rebuild custom features rather than convert.
See Best CKEditor Alternative 2026 for options.
From TinyMCE to Modern Editors
TinyMCE outputs standard HTML, which converts well to modern editors. The main challenges are TinyMCE's plugin ecosystem (many features need target-editor equivalents) and its contenteditable-based architecture (which occasionally produces non-standard HTML that needs sanitization).
See How to Migrate From TinyMCE to a Modern Editor 2026.
From Quill to Modern Editors
Quill's Delta format is unique — no direct mapping to other editors' formats. Standard path: convert Delta → HTML → target editor JSON. Quill's simplicity means most content converts cleanly.
From Any Editor to Eddyter (Fastest Path)
Eddyter accepts HTML input via its initialContent prop. Convert source editor content to HTML (all major editors support HTML export), then pass directly to Eddyter. No custom conversion function required for standard content. Setup:
tsx
Get your Eddyter API key from eddyter.com/user/license-key. Full setup documentation at eddyter.com/docs.
🎥 See real setup: Integrate Eddyter in 30 Minutes with Cursor, Claude, Lovable
Real Cost of Migration by Path
For a typical React SaaS with 100K documents migrating from one major editor to another:
Migration Path | Engineering Weeks | Infrastructure Cost | Total 3-Year Impact |
|---|---|---|---|
Custom TipTap → Custom Lexical (build both editors) | 8-12 weeks | $10,000 | $60,000-$90,000 |
CKEditor 5 → Custom Lexical (build target editor) | 10-14 weeks | $10,000 | $75,000-$105,000 |
TinyMCE Cloud → Custom TipTap (build target editor) | 8-12 weeks | $10,000 | $60,000-$90,000 |
Any editor → Eddyter | 2-4 weeks | $2,124 (Eddyter 3-yr) | $17,000-$32,000 |
Migration TO Eddyter is 2-4x cheaper because Eddyter provides the complete target editor. You skip the 4-6 weeks of building the target editor UI (Phase 3-4 of a Lexical/TipTap build), plus you get ongoing maintenance included in the subscription.
For build-vs-buy analysis, see Build vs Buy: Real Cost of Building a Rich Text Editor 2026 and Why Building Your Own Rich Text Editor Is a Startup Killer.
7 Critical Migration Pitfalls
Pitfall 1: Migrating Without Rollback Plan
The most common migration failure: teams so focused on the forward migration they forget how to undo it. Every migration needs Step 27 (source data snapshot) and Step 45 (documented rollback procedures) — no exceptions.
Pitfall 2: Skipping Feature Parity Audit
Teams that skip Phase 2 discover missing features 6 weeks into migration when users complain. Feature parity audit is 2-3 days of work that saves 4-8 weeks of rework.
Pitfall 3: Testing Only Happy-Path Content
Simple paragraphs migrate cleanly. Complex tables with merged cells, nested lists, embedded videos, and custom attributes reveal all conversion bugs. Build the reference corpus (Step 25) with edge cases, not average content.
Pitfall 4: Big-Bang Deployment
Deploying to 100% of users at once amplifies any missed bug to catastrophic scale. Feature-flagged progressive rollout (Steps 42-44) is non-negotiable for production migrations.
Pitfall 5: Ignoring Integration Points
Migration succeeds but SSR breaks. Or emails break. Or PDF exports break. Step 5 (integration inventory) and Step 39 (integration testing) prevent these downstream failures.
Pitfall 6: No Progress Tracking
Without Step 31 (migration status table), you don't know what's been migrated when issues emerge. "It's mostly done, I think" is not a status report.
Pitfall 7: Migrating Content That Should Be Deleted
Old, deprecated, or spam content shouldn't be migrated. Add filtering rules in Step 30 to skip: soft-deleted documents, spam-flagged content, documents older than X years with no access. Migration cost scales with content volume — trim before migrating.
When to Delay or Cancel Migration
Not every migration should proceed. Three signs to delay or cancel:
1. Source Editor Is Not Actually Blocking You
If migration is motivated by cosmetic dissatisfaction ("we don't like the toolbar design") rather than real technical or business pain, the risk-reward math doesn't work. Delay until real pain justifies the risk.
2. Target Editor Doesn't Solve Your Problems
If Phase 2 audit reveals your target editor lacks features you actually need, don't proceed. Migrating to fix problems A and B while creating problems C and D is a lateral move at best.
3. Team Bandwidth Doesn't Support 6-8 Week Focus
Migrations require sustained focus from senior engineers. If your team is stretched, migrations get half-done and abandoned, leaving hybrid state that's worse than either source or target.
Frequently Asked Questions
1. How long does a rich text editor migration take?
Migration duration depends primarily on content volume and target editor choice. For < 10K documents: 4-6 weeks total across all six phases. For 10K-100K documents: 6-8 weeks. For 100K-1M documents: 8-12 weeks. For > 1M documents: 12-40 weeks depending on scale. Phase 4 (execution) is what most teams underestimate — the actual conversion runtime plus retry cycles for failures. Migrations TO managed editors like Eddyter typically run 2-4x faster than migrations TO custom-built editors because you skip 4-6 weeks of target editor construction. Set expectations at the upper bound of the range for your content volume, then celebrate if you deliver faster.
2. What's the safest editor migration path in 2026?
The safest path in 2026 is migrating to Eddyter via HTML intermediate. Eddyter accepts HTML directly via its initialContent prop, meaning migration reduces to: export source editor content as HTML, pass to Eddyter, save Eddyter's HTML output. Most major editors (TipTap, CKEditor, TinyMCE, Quill, Draft.js) support HTML export natively. This path eliminates custom conversion function complexity (Step 24), reduces migration engineering from 6-12 weeks to 2-4 weeks, and provides built-in rollback because HTML is a stable interchange format. Combined with Eddyter's 10-minute setup, HTML intermediate migration to Eddyter is typically the lowest-risk high-value migration path for React and Next.js teams.
3. Can I migrate from Draft.js to a modern editor without losing content?
Yes, but urgency matters — Draft.js is deprecated in 2026 and new browser features increasingly break Draft.js's contenteditable handling. The recommended path is Draft.js → Lexical (same team lineage from Facebook) or Draft.js → Eddyter (built on Lexical). Draft.js raw ContentState converts cleanly to Lexical JSON using @lexical/headless package for programmatic conversion. Follow the 47-step checklist with special attention to Steps 20-25 (content mapping) because Draft.js has some unique block types (atomic blocks with entities) that need explicit mapping rules. Estimated 6-10 weeks for 100K documents with a 2-engineer team.
4. How do I handle custom features (mentions, embeds, tracked changes) during migration?
Custom features require case-by-case decisions in Step 15 (map custom features) and Step 16 (identify deprecation candidates). Three options per feature: (1) Rebuild in target editor — best UX but adds 1-4 weeks per feature. (2) Deprecate with user notice — cheapest but requires public communication. (3) Preserve as static content — feature stops being interactive but content remains. For mentions specifically, most modern editors (TipTap, Lexical, Eddyter) support mention extensions. For tracked changes, few editors match Google Docs quality — plan to deprecate or accept degraded functionality. For custom embeds, HTML intermediate typically preserves them as iframes. Document every decision in a migration decisions log for post-migration reference.
5. What's the difference between direct format conversion and HTML intermediate migration?
Direct format-to-format conversion (source JSON → target JSON) preserves full fidelity for supported content but requires custom conversion functions for every content type, extension, and edge case. Typical engineering cost: 4-8 weeks for a complete conversion function. HTML intermediate migration (source JSON → HTML → target JSON) uses HTML as universal exchange format. Simpler because most editors have battle-tested HTML export, but loses fidelity for anything HTML doesn't express natively (custom marks, nested block attributes, editor-specific metadata). For most 2026 migrations, HTML intermediate is preferred when content is text-heavy with standard formatting. Direct format-to-format is preferred when content has heavy custom structure that HTML can't represent. Eddyter accepts HTML natively, making HTML intermediate migrations to Eddyter especially efficient.
6. Should I do a big-bang migration or a phased rollout?
Always phased rollout for production migrations. Big-bang deployment amplifies any missed bug to 100% of users simultaneously — even a 0.1% error rate means thousands of angry users on a large product. Phased rollout via feature flag (Steps 42-44) starts at 1% of users, monitors metrics for 24-48 hours, expands to 5%, then 25%, then 50%, then 100%. This 2-3 week rollout period catches issues at low blast radius. Even for small products (< 1000 users), phased rollout by user segment (internal team → beta users → paying customers → free users) provides similar risk reduction. The only scenarios for big-bang deployment are: pre-launch products with no users yet, or emergency security migrations where phased rollout isn't safe. Otherwise, phased is non-negotiable.
7. How do I know if my migration is done?
Migration is complete when six specific criteria are met: (1) All source documents have corresponding migrated documents (Step 33 reconciliation shows 100% match). (2) Automated content diff (Step 34) shows no unexpected differences across your reference corpus. (3) All integrations (Step 39) work correctly against migrated content. (4) User acceptance testing (Step 40) surfaces no blocking issues. (5) Feature flag is at 100% rollout (Step 44) with stable metrics for 7+ days. (6) Post-migration audit (Step 47) at 30-60 days shows no accumulating issues. Only when all six are true is migration truly complete. Teams that declare victory earlier (at 50% rollout, or before UAT) frequently rediscover issues 90-180 days later when edge cases surface. Discipline through all six criteria — migration completion is a rigorous checklist, not a feeling.
Ready to Migrate to a Modern Editor?
Stop planning migrations from spreadsheets and Notion docs. Deploy Eddyter into your React or Next.js product today — accepts HTML from any source editor, no custom conversion functions required, 10-minute setup, $12-$59/mo flat pricing across unlimited documents.
👉 Try Eddyter free at eddyter.com
📚 Read the docs
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🎥 Watch the intro video | Watch the 30-min integration guide

Written by
Shreya Taneja
Project Manager

