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Build Your Own AI Tutor: How to Save ChatGPT Vocabulary Lists to Notion Flashcards

J
Jack
January 7, 2026
Workflows ChatGPT
Build Your Own AI Tutor: How to Save ChatGPT Vocabulary Lists to Notion Flashcards

The ‘Static Dictionary’ Problem: Where Language Learning Stalls

You’re learning business Japanese. You encounter the word “根回し” (nemawashi) in a meeting. You look it up: “informal consensus building before formal decisions.”

You write it in a notebook. Or type it in a spreadsheet. Or save it in a language app with a generic example sentence.

Three weeks later, you can’t remember it. The definition was abstract. The example sentence was irrelevant to your work. You never saw it in context again.

For language learners, this isn’t just inefficient—it’s why vocabulary doesn’t stick. Your browser extension should build contextual flashcards, not static word lists.

The Context Problem: Why Traditional Methods Fail

Traditional vocabulary learning is broken:

Method 1: Physical Flashcards

  • Time-consuming to create

  • No search functionality

  • Lost or damaged easily

  • Can’t update or reorganize Method 2: Language Apps (Duolingo, Anki)

  • Generic example sentences

  • No personal context

  • Limited customization

  • Disconnected from real usage Method 3: Spreadsheets

  • No spaced repetition

  • Not mobile-friendly

  • Boring to review

  • No multimedia support What’s missing: Context from your actual conversations, work scenarios, and interests.

Looking for meeting workflows? Check our guide on summarizing meeting notes.

The Prompt: Generating Contextual Vocabulary Tables

ChatGPT can generate vocabulary lists with context. But you need the right prompt structure.

The Contextual Vocabulary Prompt

Generate a vocabulary table for these business English words:
[synergy, leverage, bandwidth, pivot, stakeholder]

Format as a markdown table with columns:
- Word
- Pronunciation (IPA)
- Definition (one sentence)
- Business Example (realistic scenario)
- Level (A1-C2)

Make examples relevant to tech startup context.

ChatGPT Output

This table is learning-ready. But only if you preserve the structure.

The Workflow: From Table to Flashcard

Manual copy-paste destroys table structure. Your vocabulary list becomes plain text. The learning value disappears.

With proper tooling, you save ChatGPT to Notion while preserving:

  • Table structure: Columns remain intact
  • Sortability: Filter by level, search by word
  • Editability: Add your own notes and examples
  • Multimedia: Attach images, audio pronunciation

Step 1: Save to Notion Database

Click the extension icon. The vocabulary table saves to Notion with perfect formatting.

Database Name: 📚 Vocabulary Bank

Properties (Auto-Generated from Table):

  • Word (Title): The vocabulary word

  • Pronunciation (Text): IPA notation

  • Definition (Text): One-sentence meaning

  • Business Example (Text): Contextual usage

  • Level (Select): A1 / A2 / B1 / B2 / C1 / C2 Additional Properties to Add:

  • Language (Select): English / Japanese / Spanish / etc.

  • Category (Multi-select): Business / Technical / Casual / Academic

  • Mastery (Select): New / Learning / Mastered

  • Last Reviewed (Date): For spaced repetition

  • Personal Example (Text): Your own sentence using the word

  • Audio (File): Pronunciation recording

Notion databases have multiple views. Switch from Table to Gallery to transform rows into flashcards.

Gallery View Setup:

  1. Click “Add a view” → Select “Gallery”
  2. Name it “Flashcard Mode”
  3. Set card preview to show “Word” prominently
  4. Hide “Definition” and “Example” from preview
  5. Cards now show only the word—flip to reveal meaning Result: Interactive flashcards with active recall built in.

Properties Display:

  • Card Front (Preview): Word + Pronunciation
  • Card Back (Inside): Definition + Example + Level
  • Card Footer: Category tags, Mastery status

Contextual Learning: Beyond Individual Words

Vocabulary in isolation doesn’t stick. You need context from real conversations.

Scenario: Business Negotiation in Japanese

Prompt:

I'm negotiating a software contract with a Japanese client. Translate this conversation and create a vocabulary table for key business terms:

English: "We need to discuss the payment terms and delivery schedule."
Japanese: [Translation]

Extract 10 key business terms with:
- Japanese word (kanji + hiragana)
- Romaji pronunciation
- English meaning
- Usage context in negotiations

ChatGPT Output

Conversation:

  • English: “We need to discuss the payment terms and delivery schedule.”
  • Japanese: “支払い条件と納期について話し合う必要があります。”
  • Romaji: “Shiharai jōken to nōki ni tsuite hanashiau hitsuyō ga arimasu.” Vocabulary Table:

Save this entire conversation to Notion. Now you have:

  • Full dialogue for immersive review
  • Vocabulary table for focused study
  • Real-world context for each term
  • Searchable archive of business scenarios

Spaced Repetition: The Review System

Flashcards are useless without systematic review. Build spaced repetition into your Notion database.

The Leitner System in Notion

Mastery Levels:

  • New: Just learned, review daily
  • Learning: Seen 3+ times, review every 3 days
  • Mastered: Confident recall, review weekly Workflow:
  1. Daily Review: Filter Mastery = New
  2. Test yourself: Look at word, recall definition
  3. Update status: If correct 3 times → Move to “Learning”
  4. Weekly review: Filter Mastery = Mastered, ensure retention Automation with Formulas:
Next Review Date =
  if(Mastery = "New", now() + 1 day,
  if(Mastery = "Learning", now() + 3 days,
  if(Mastery = "Mastered", now() + 7 days)))

Filter: Next Review Date ≤ Today → Shows only cards due for review

Language-Specific Use Cases

Different languages need different structures. Customize your database.

Use Case 1: Business English (Non-Native Speakers)

Focus: Professional communication, presentations, emails

Vocabulary Categories:

  • Meeting phrases (“Let’s table this discussion”)
  • Email formality levels (“Per your request” vs “As you asked”)
  • Presentation transitions (“Moving on to the next point”)
  • Negotiation language (“Win-win solution”) Example Prompt:
Generate 20 business English phrases for:
- Opening meetings professionally
- Disagreeing politely
- Asking for clarification
- Closing action items

Include formality level (Formal/Neutral/Casual) and context.

Use Case 2: Japanese for Business (JLPT N2-N1)

Focus: Keigo (honorific language), business kanji, meeting etiquette

Vocabulary Categories:

  • Keigo expressions (尊敬語、謙譲語、丁寧語)
  • Business kanji compounds
  • Meeting phrases
  • Email formulas Example Prompt:
Create a vocabulary table for Japanese business meetings:
- 10 keigo phrases for speaking to superiors
- 5 phrases for introducing yourself
- 5 phrases for ending meetings politely

Include kanji, hiragana, romaji, and formality notes.

Use Case 3: Technical Spanish (Software Engineering)

Focus: Programming terminology, technical documentation

Vocabulary Categories:

  • Programming concepts in Spanish
  • Git/GitHub terminology
  • Code review phrases
  • Technical writing vocabulary Example Prompt:
Translate these programming terms to Spanish with usage examples:
- Pull request, merge conflict, code review, refactoring, deployment

Include Latin American vs Spain variations where different.

Multimedia Enhancement: Beyond Text

Text-only flashcards are limiting. Notion supports rich media.

Adding Pronunciation Audio

Method 1: Record Yourself

  • Use phone voice recorder

  • Upload to Notion card

  • Review with audio for pronunciation practice Method 2: Text-to-Speech

  • Use ChatGPT voice mode to pronounce words

  • Record system audio

  • Attach to Notion cards Method 3: Native Speaker Recordings

  • Ask language exchange partners

  • Record video calls (with permission)

  • Extract audio clips for vocabulary

Adding Visual Context

For Concrete Nouns:

  • Attach images (e.g., “契約書” → photo of Japanese contract)

  • Visual memory aids retention For Abstract Concepts:

  • Create diagrams (e.g., “synergy” → Venn diagram)

  • Infographics for complex terms For Cultural Context:

  • Screenshots of real usage (tweets, articles, emails)

  • Authentic materials beat textbook examples

Tagging Strategy: Organizing Your Polyglot Database

A 1000-word vocabulary bank is useless without organization.

By Language:

  • #English - Target language

  • #Japanese - Source or target

  • #Spanish - Additional languages By Context:

  • #Business - Professional settings

  • #Technical - Programming, engineering

  • #Casual - Everyday conversation

  • #Academic - Research, formal writing By Skill:

  • #Speaking - Oral communication

  • #Writing - Written communication

  • #Listening - Comprehension

  • #Reading - Text understanding By Priority:

  • #HighFrequency - Use daily

  • #Exam - JLPT, TOEFL, etc.

  • #WorkCritical - Need for job

  • #Personal - Hobby or interest

Filtering Examples

Preparing for JLPT N2:

  • Filter: Language = Japanese, Level = N2, Mastery = New OR Learning

  • Result: All N2 vocabulary needing review Business meeting prep:

  • Filter: Category = Business, Language = Japanese, Mastery = Mastered

  • Result: Confident vocabulary for professional use Daily review queue:

  • Filter: Next Review Date ≤ Today

  • Result: All cards due for spaced repetition

Immersive Learning: Saving Full Conversations

Individual words are building blocks. Full conversations are immersion.

Scenario: Negotiating a Contract in Japanese

Prompt:

Simulate a business negotiation in Japanese between:
- Me (foreign company representative)
- Japanese client (procurement manager)

Topic: Software licensing agreement
Include: Greetings, price discussion, delivery terms, closing

Provide:
1. Full dialogue (Japanese + English translation)
2. Vocabulary table (20 key terms)
3. Cultural notes (business etiquette)

Save to Notion:

  • Full dialogue as main content
  • Vocabulary table embedded
  • Cultural notes as callout blocks
  • Tag: #Negotiation #Japanese #Business #Roleplay Review Method:
  1. Read Japanese dialogue
  2. Try to understand without translation
  3. Check English version
  4. Study vocabulary table
  5. Practice speaking the dialogue aloud Result: Contextual learning with vocabulary reinforcement.

Collaboration: Language Exchange in Notion

Share your vocabulary database with language partners.

Shared Learning Setup

Permissions:

  • You: Full edit access
  • Language Partner: Comment access
  • Tutor: Full edit access Workflow:
  1. You add new vocabulary from conversations
  2. Language partner comments with corrections
  3. Tutor adds cultural notes and better examples
  4. Everyone benefits from shared knowledge Example:
  • You add: “根回し (nemawashi) - informal consensus”
  • Partner comments: “Better example: ‘Before the board meeting, I did nemawashi with key stakeholders to ensure approval.’”
  • Tutor adds: “Cultural note: Essential in Japanese business culture. Skipping nemawashi can cause meeting failures.”

Conclusion: Build Your Personal Language Database

Your vocabulary is intellectual capital. Your contextual examples are learning accelerators. Your pronunciation notes are skill builders.

Don’t let them scatter across notebooks, apps, and forgotten conversations. Don’t waste time recreating flashcards manually. Don’t learn words without context.

Build your language database with AI-generated vocabulary. Save tables with preserved structure. Transform into flashcards with gallery view. Review with spaced repetition.

Ready to accelerate your language learning? Install ChatGPT2Notion and save your first vocabulary table in under 60 seconds.

Not learning languages but building code libraries? See our guide on saving code snippets.

language learning vocabulary Notion ChatGPT, Notion flashcard template, ChatGPT to Notion dictionary, bilingual knowledge base

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