Deckbase and Anki import/export: a practical migration workflow

Quick answer

Yes, you can import existing Anki decks into Deckbase using .apkg. The best migration strategy is incremental: keep your highest-value legacy decks, start new content in Deckbase, and clean imported cards for better recall quality.

Recommended migration steps

1. 1
   Export your source deck from Anki as .apkg and keep a backup copy first.
2. 2
   Import into Deckbase and verify deck structure, fields, and obvious formatting issues.
3. 3
   Normalize card wording (one idea per card), remove duplicates, and simplify long prompts.
4. 4
   Resume daily reviews immediately to preserve momentum; avoid waiting for perfect cleanup.
5. 5
   Create new cards in Deckbase from files or chat (PDF, notes, docs, images, spreadsheets) and let old decks phase out naturally.

Common pitfalls to avoid

The largest migration risk is over-editing before review restarts. If you spend a week cleaning cards without reviewing, retention drops. Start reviews first, then improve cards in small batches.

Also avoid mixing template structures blindly. If you use MCP to create new cards, check template block IDs with get_template_schema before batch creation.

Migration readiness checklist (before you move everything)

1. 1
   Identify your active decks from the last 30 days first. Move those before archived material.
2. 2
   Set a daily review floor (for example: 15-25 minutes) so migration does not interrupt consistency.
3. 3
   Define your card quality rule: one prompt, one expected answer, one clear context.
4. 4
   Keep one fallback export from each major deck until your first 2 weeks are stable.

This approach reduces risk because you migrate the highest-value material first and keep a clean rollback path. Most failed migrations come from trying to reformat everything at once before review habits stabilize.

A practical 14-day transition plan

1. 1
   Days 1-3: Import one active deck, clean only obvious issues, and resume reviews immediately.
2. 2
   Days 4-7: Add new cards from current study inputs (files or chat) inside Deckbase only.
3. 3
   Days 8-10: Measure friction points (duplicate cards, unclear prompts, overloaded cards) and fix in batches.
4. 4
   Days 11-14: Decide what stays in Anki vs what becomes Deckbase-native, then standardize templates.

By the end of week 2, you should have clear evidence on retention quality and workflow speed. Keep the setup that preserves daily completion and lowest lapse rate.

Choose the right migration mode

Not every learner should migrate the same way. A clean split is usually safest for individual learners who need continuity. Progressive merge is better when you want one eventual library but cannot afford a disruption period. Full cutover is fastest, but it carries higher risk if card quality controls are weak.

If you are unsure, start with clean split for 2-4 weeks, then move into progressive merge once your daily review completion is stable and your cleanup backlog is under control.

Post-import cleanup priorities (in order)

The highest leverage move is fixing only what affects recall quality first. Cosmetic edits can wait. Many migrations fail because users spend days formatting cards while neglecting prompt clarity, duplicates, and card granularity.

Use short cleanup sessions (20-30 minutes) after daily reviews. This keeps momentum intact and avoids rebuilding the entire deck library before seeing retention results.

Weekly migration scorecard

During migration, run one lightweight scorecard every 7 days. This helps you detect early friction before it becomes a motivation problem. If completion is falling or session time spikes, reduce incoming card volume and prioritize card rewrites over new imports.

A strong migration trend is simple: completion stays high, lapse rate declines, and backlog of broken cards shrinks each week.

Failure recovery: what to do if migration quality drops

1. 1
   Pause new imports for 3-5 days and stabilize daily review completion first.
2. 2
   Identify top 50 failing cards and classify causes (ambiguity, overload, duplicates, context mismatch).
3. 3
   Rewrite those cards, then remeasure lapse rate after one week before expanding imports.
4. 4
   Reintroduce imports in small batches and stop immediately if session time spikes again.

This recovery loop works because it protects your retention system before adding more complexity. In most cases, users recover faster by reducing volume and improving card design rather than tuning advanced scheduler settings.

Scenario playbooks: choose migration strategy by context

Migration advice is most useful when it maps to your real constraints. A learner preparing for a high-stakes exam needs a different rollout than someone gradually modernizing a personal archive. The table below helps you select a mode quickly and avoid over-migrating before your daily review habit is stable.

If two scenarios overlap, choose the lower-risk path first. In practice, consistency beats speed: a slower migration with stable reviews almost always outperforms a fast migration that disrupts your study loop.

Template standardization before large imports

Template mismatch is one of the most expensive migration mistakes. If similar concepts are represented with different field structures, review quality drops and batch automation becomes unreliable. Before large imports, define one default template for each card type (definition, cloze-like recall, bilingual vocabulary, formula recall, etc.).

1. 1
   Define required fields for each card type and keep naming consistent across decks.
2. 2
   Set formatting rules for prompts and answers (length, punctuation, context style).
3. 3
   Map legacy fields to new template fields before batch imports start.
4. 4
   Validate 20-30 sample cards manually before scaling to full deck imports.

Standardization is not busywork. It increases rating consistency, lowers cleanup backlog, and improves long-term maintainability when new cards are added from OCR or MCP workflows.

Quality acceptance gates for each migration batch

Use explicit pass/fail gates before importing the next batch. This prevents low-quality cards from spreading across active decks and protects daily review confidence.

1. 1
   Gate 1: At least 90% of sampled cards are understandable without editing.
2. 2
   Gate 2: Duplicate prompt rate stays below 2-3% in the current batch.
3. 3
   Gate 3: Average session time does not increase more than 10-15% week-over-week.
4. 4
   Gate 4: Lapse trend is stable or improving after one week of normal review.

If any gate fails, stop new imports and run a focused repair sprint. Correcting issues at batch size 50 is far cheaper than fixing the same pattern after 2,000 imported cards.

Post-migration operations: keep the library healthy

Migration is complete only when your weekly operations are stable. After cutover, run a light maintenance rhythm so deck quality does not drift over time.

1. 1
   Run a weekly duplicate check on recently imported decks.
2. 2
   Tag and rewrite cards with repeated lapses rather than increasing review load globally.
3. 3
   Archive low-yield legacy decks that no longer support current goals.
4. 4
   Document one workflow improvement per month (capture, cleanup, template, or review policy).

This operational layer is what keeps migration gains durable. Without it, card quality can regress and recreate the same friction that triggered migration in the first place.

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