Education Flashcards & Spaced RecallBeginner24 minSaves 30 minutes

Generate JLPT N4 Kanji Flashcards with Contextual Examples

Q: Can I use this prompt to generate flashcards for JLPT N3 or N5?

Yes, you can modify the `target_jlpt_level` variable to "JLPT N3" or "JLPT N5". However, always verify the generated kanji and vocabulary against official lists for accuracy.

Q: Does the prompt generate audio files directly?

No, the `audio_cue` field provides a suggested filename. You will need to use a separate text-to-speech tool or a dedicated audio resource to create the actual audio files.

JLPT N4 candidates require recall-optimized flashcards with meaning, reading, and examples to efficiently master kanji for the upcoming exam.

This prompt generates 50 recall-optimized flashcards specifically for JLPT N4 kanji. Each card features the kanji on the front, with its reading, English meaning, and two practical compound examples on the back. It's designed to enhance memorization for N4 candidates preparing for the exam.

ChatGPT Claude Gemini

READY-TO-USE PROMPT

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prompt.txt

Your role is an expert Japanese language instructor and JLPT N4 specialist.

Context:
JLPT N4 candidates require highly targeted and recall-optimized study materials for kanji memorization. Effective flashcards go beyond just presenting the character and its primary English meaning. They must include accurate readings (on'yomi and kun'yomi, with furigana), and crucially, contextual example compound words to aid in practical application and deeper understanding. The goal is to create a resource that directly supports efficient preparation for the JLPT N4 examination.

Task:
Generate a set of flashcards for Japanese Kanji, specifically tailored for the JLPT N4 level. Each card must present a single kanji on the front, and comprehensive, recall-optimized information on the back to facilitate learning and memorization.

Constraints:
1.  Generate exactly {{num_kanji_cards}} unique kanji flashcards.
2.  All kanji provided must be appropriate for the {{target_jlpt_level}} according to common JLPT N4 vocabulary lists.
3.  For each kanji, provide its primary on'yomi and kun'yomi readings. Include furigana for the kanji itself when presenting readings.
4.  Include the main English meaning(s) for the kanji.
5.  Provide two distinct, common compound words that use the kanji. For each compound, include its reading (with furigana as appropriate, especially for less common readings), and its English translation.
6.  Ensure all example compound words are relevant to the N4 vocabulary scope and demonstrate typical usage of the kanji.
7.  The output must be a single JSON array of objects.

Output:
A JSON array, where each object represents one flashcard. Each object must contain the following keys:

-   `"front"`: The kanji character itself (e.g., "聞").
-   `"back_reading"`: The primary readings of the kanji, including furigana. Format as "おんよみ (on'yomi) / くんよみ (kun'yomi)" (e.g., "ブン (bun), モン (mon) / きく (kiku)").
-   `"back_meaning"`: The primary English meaning(s) of the kanji (e.g., "to hear, to listen, to ask").
-   `"back_examples"`: An array containing two objects. Each object in this array will have:
    -   `"compound"`: A Japanese compound word using the kanji (e.g., "新聞").
    -   `"compound_reading"`: The reading of the compound word, with furigana if necessary (e.g., "しんぶん (shinbun)").
    -   `"compound_meaning"`: The English translation of the compound word (e.g., "newspaper").
-   `"audio_cue"`: A placeholder string for an audio file name, derived from the kanji (e.g., "kiku.mp3"). This is a prompt for a later stage, just generate the string.
-   `"tag"`: A relevant categorical tag for the flashcard (e.g., "JLPT N4 Kanji", "Japanese Vocabulary").
-   `"suggested_srs_interval_days"`: An integer representing a suggested initial Spaced Repetition System interval in days (e.g., 1, 3, 7).

Estimated results

DifficultyBeginner

Setup time24 min

Time saved30 minutes

Best modelsChatGPT, Claude, Gemini

Best audienceEducation

Editor's note

Why this prompt matters

Preparing for the JLPT N4 exam often involves a significant hurdle: mastering a new set of kanji. Simply reviewing characters and their basic English equivalents rarely suffices for true retention and application. Candidates frequently struggle to connect isolated kanji to their usage in actual Japanese words and sentences, leading to slower progress and less confident recall during the exam. This workflow addresses that specific challenge by generating flashcards designed for deep learning, not just surface-level recognition.

This tool is for any JLPT N4 candidate seeking to streamline their kanji study. It moves beyond generic flashcard creation by focusing on the specific needs of N4 learners, providing not only readings and meanings but also essential contextual examples. By presenting kanji within common compound words, it helps learners build a practical understanding of how each character functions in real-world Japanese.

Reach for this workflow when you need to quickly produce a comprehensive set of study materials that go beyond basic definitions. It's particularly useful for reinforcing kanji knowledge with relevant examples, ensuring that your study time is spent on materials optimized for recall and practical application, directly supporting your N4 preparation goals.

Anatomy

Prompt engineering breakdown

Role

Your role is an expert Japanese language instructor and JLPT N4 specialist.

Context

JLPT N4 candidates require highly targeted and recall-optimized study materials for kanji memorization. Effective flashcards go beyond just presenting the character and its primary English meaning. They must include accurate readings (on'yomi and kun'yomi, with furigana), and crucially, contextual example compound words to aid in practical application and deeper understanding. The goal is to create a resource that directly supports efficient preparation for the JLPT N4 examination.

Goal

Generate a set of flashcards for Japanese Kanji, specifically tailored for the JLPT N4 level. Each card must present a single kanji on the front, and comprehensive, recall-optimized information on the back to facilitate learning and memorization.

Constraints

1. Generate exactly {{num_kanji_cards}} unique kanji flashcards.2. All kanji provided must be appropriate for the {{target_jlpt_level}} according to common JLPT N4 vocabulary lists.3. For each kanji, provide its primary on'yomi and kun'yomi readings. Include furigana for the kanji itself when presenting readings.4. Include the main English meaning(s) for the kanji.5. Provide two distinct, common compound words that use the kanji. For each compound, include its reading (with furigana as appropriate, especially for less common readings), and its English translation.6. Ensure all example compound words are relevant to the N4 vocabulary scope and demonstrate typical usage of the kanji.7. The output must be a single JSON array of objects.

Output format

A JSON array, where each object represents one flashcard. Each object must contain the following keys: "front", "back_reading", "back_meaning", "back_examples" (an array containing two objects, each with "compound", "compound_reading", "compound_meaning"), "audio_cue", "tag", and "suggested_srs_interval_days".

Why this structure works

The prompt's structure effectively guides the model. Role priming as an "expert Japanese language instructor and JLPT N4 specialist" ensures the output's quality and relevance. Explicit constraints on the number of cards, JLPT level, and required content details prevent generic responses. The structured output format (JSON) guarantees consistency and ease of integration into study applications.

Pick your version

Prompt variations

BeginnerWorks with any model

Ideal for students starting their N4 kanji journey who prefer a simpler, less dense flashcard format, focusing on core meanings and one example.

prompt.txt

You are a friendly Japanese tutor. Your task is to create {{number_of_cards}} flashcards for common JLPT N4 kanji. For each card, put the kanji on the front. On the back, include its main readings (with furigana) and English meaning. Also, add one simple example compound word with its reading and meaning. Ensure the kanji and examples are suitable for N4 learners. Output a JSON array. Each object needs: `front` (kanji), `back_reading` (readings with furigana), `back_meaning` (English meaning), `back_example` (object with `compound`, `compound_reading`, `compound_meaning`), `tag` (e.g., 'N4 Kanji'), and `suggested_srs_interval_days` (integer).

ProfessionalBest with chatgpt

For serious JLPT N4 candidates or educators who need comprehensive, detailed flashcards with multiple examples for deep contextual learning and exam preparation.

prompt.txt

Your role is an expert Japanese language instructor and JLPT N4 specialist.Context: JLPT N4 candidates require highly targeted and recall-optimized study materials. Effective flashcards include accurate readings (on'yomi and kun'yomi, with furigana), and contextual example compound words.Task: Generate a set of exactly {{num_kanji_cards}} flashcards for Japanese Kanji, specifically tailored for the JLPT N4 level. Each card must present a single kanji on the front, and comprehensive information on the back.Constraints:1. All kanji must be N4 appropriate.2. Provide primary on'yomi and kun'yomi readings with furigana.3. Include main English meaning(s).4. Provide two distinct, common compound words. For each, include its reading (with furigana) and English translation.5. Ensure all examples are N4 relevant.Output: A JSON array of objects. Each object needs: `"front"`, `"back_reading"`, `"back_meaning"`, `"back_examples"` (array of two objects with `"compound"`, `"compound_reading"`, `"compound_meaning"`), `"audio_cue"` (placeholder e.g., "kiku.mp3"), `"tag"`, and `"suggested_srs_interval_days"`.

Short VersionBest with gemini

For quick, on-demand generation of essential flashcard data when a full, detailed prompt is not necessary, focusing solely on the required output without extensive context.

prompt.txt

Generate {{count}} JLPT N4 kanji flashcards. For each kanji, provide its character on the front. On the back, list its primary readings (on'yomi/kun'yomi with furigana), English meaning, and two common N4-level compound words, each with its reading (furigana) and English translation. Ensure all kanji and compounds are appropriate for JLPT N4. The output must be a JSON array of objects, each containing: `front`, `back_reading`, `back_meaning`, `back_examples` (array of two objects with `compound`, `compound_reading`, `compound_meaning`), `audio_cue` (placeholder), `tag` ('JLPT N4 Kanji'), and `suggested_srs_interval_days` (integer).

EnterpriseBest with claude

For educational institutions or content publishers requiring high-fidelity, auditable, and pedagogically sound flashcard content for integration into official learning platforms.

prompt.txt

As a specialist in pedagogical content development for Japanese language acquisition, generate a dataset of {{required_card_count}} JLPT N4 kanji flashcards. This content must adhere to established curriculum standards and be suitable for integration into a formal learning management system. Each flashcard requires the kanji on the front, and on the reverse, its primary readings (on'yomi/kun'yomi with furigana), main English meaning(s), and two distinct, contextually appropriate compound words relevant to N4, complete with readings and English translations. Ensure strict accuracy for all linguistic data to minimize review cycles. The output must be a JSON array. Each object will include: `front`, `back_reading`, `back_meaning`, `back_examples` (array of two objects with `compound`, `compound_reading`, `compound_meaning`), `audio_cue` (placeholder), `tag` ('JLPT N4 Kanji - Enterprise'), and `suggested_srs_interval_days` (integer for SRS algorithm integration).

What you'll get

Expected output

[ { "front": "聞", "back_reading": "ブン (bun), モン (mon) / きく (kiku)", "back_meaning": "to hear, to listen, to ask", "back_examples": [ { "compound": "新聞", "compound_reading": "しんぶん (shinbun)", "compound_meaning": "newspaper" }, { "compound": "聞く", "compound_reading": "きく (kiku)", "compound_meaning": "to hear, to listen" } ], "audio_cue": "kiku.mp3", "tag": "JLPT N4 Kanji", "suggested_srs_interval_days": 1 }, { "front": "言", "back_reading": "ゲン (gen), ゴン (gon) / いう (iu), こと (koto)", "back_meaning": "to say, word", "back_examples": [ { "compound": "言葉", "compound_reading": "ことば (kotoba)", "compound_meaning": "word, language" }, { "compound": "言う", "compound_reading": "いう (iu)", "compound_meaning": "to say" } ], "audio_cue": "iu.mp3", "tag": "JLPT N4 Kanji", "suggested_srs_interval_days": 3 }, { "front": "読", "back_reading": "ドク (doku), トク (toku) / よむ (yomu)", "back_meaning": "to read", "back_examples": [ { "compound": "読む", "compound_reading": "よむ (yomu)", "compound_meaning": "to read" }, { "compound": "読書", "compound_reading": "どくしょ (dokusho)", "compound_meaning": "reading (as a hobby)" } ], "audio_cue": "yomu.mp3", "tag": "JLPT N4 Kanji", "suggested_srs_interval_days": 7 }, { "front": "買", "back_reading": "バイ (bai) / かう (kau)", "back_meaning": "to buy", "back_examples": [ { "compound": "買う", "compound_reading": "かう (kau)", "compound_meaning": "to buy" }, { "compound": "買い物", "compound_reading": "かいもの (kaimono)", "compound_meaning": "shopping" } ], "audio_cue": "kau.mp3", "tag": "JLPT N4 Kanji", "suggested_srs_interval_days": 1 } ]

Under the hood

Why this prompt works

This prompt produces effective flashcards by employing several key prompt engineering techniques. First, role priming establishes the model as an 'expert Japanese language instructor and JLPT N4 specialist.' This ensures the generated content is accurate, pedagogically sound, and specifically tailored to the N4 curriculum, rather than producing generic Japanese vocabulary. The model understands the specific challenges and requirements of JLPT N4 candidates.

Second, explicit constraints are used extensively to guide the output. Directives such as specifying the exact number of cards, requiring N4-appropriate kanji, mandating furigana for readings, and demanding two distinct compound words per kanji ensure precision and completeness. These constraints prevent the model from deviating from the user's specific needs, resulting in highly relevant and structured learning material.

Finally, the demand for structured output in a JSON array is critical. This format makes the generated flashcards immediately usable for import into Spaced Repetition System (SRS) applications or other digital study tools. Each field is clearly defined, from the kanji on the front to the detailed readings, meanings, and contextual examples on the back. This structured approach, combined with the inclusion of practical compound words, provides a richer learning experience than a simple character-and-meaning list, directly supporting recall and application for the JLPT N4 exam.

Model fit

Best AI models for this prompt

ChatGPT

ChatGPT excels at generating structured text and following formatting instructions, making it suitable for producing flashcards with consistent fields. It can handle the language generation aspect well, but explicit instructions are critical to ensure accuracy of Japanese readings and example compounds, particularly for specific JLPT levels. See the full ChatGPT hub for deeper guidance.

Claude

Claude demonstrates strong capabilities in adhering to complex instructions and maintaining a specific tone, which is beneficial for nuanced language tasks like generating educational content. It typically performs well in producing accurate and contextually appropriate Japanese examples and readings when guided by clear constraints. See the full Claude hub for deeper guidance.

Gemini

Gemini is often effective for multilingual tasks and generating diverse examples, which can be an asset for creating varied compound words. It can produce accurate Japanese content, but users should carefully review less common readings and the relevance of compound words to ensure they align perfectly with the JLPT N4 curriculum. See the full Gemini hub for deeper guidance.

When to use

When preparing specifically for the JLPT N4 kanji section and vocabulary.
When you need flashcards that include contextual compound words for practical application.
To generate a structured, consistent set of kanji study materials.
When existing study resources lack sufficient, N4-appropriate example usage.
For creating supplementary materials that reinforce textbook kanji.

When not to use

If your primary focus is JLPT N5 or N3, as the kanji scope will differ.
When you need to practice Japanese grammar points or listening comprehension.
If you are looking for conversational practice or full sentence generation exercises.
For learning only hiragana or katakana, without a kanji focus.
When a comprehensive language learning platform with interactive features is required.

Get more from it

Pro tips

1
Always specify `target_jlpt_level` as "JLPT N4" to ensure the kanji selection is precise and relevant to the exam.
2
Request a manageable number of `num_kanji_cards` (e.g., 20-30) per run to maintain output quality and prevent model errors.
3
Review the generated furigana carefully; occasional errors can occur, especially with less common readings.
4
Confirm the example compound words are truly N4-level and common; some generated examples might be obscure.
5
Use the `audio_cue` field as a guide for integrating external text-to-speech tools or pre-recorded audio files.
6
Adjust the `suggested_srs_interval_days` based on your personal learning pace and prior familiarity with the kanji.

Don't ship this

Common mistakes

✗ Not clearly defining the target JLPT level.
Fix — Always set `target_jlpt_level` to "JLPT N4" to ensure the kanji list aligns with exam requirements.
✗ Requesting an excessive number of flashcards in a single prompt.
Fix — Break down large requests into smaller batches (e.g., 20-30 cards) to improve generation accuracy and reduce errors.
✗ Assuming the example compounds are always perfectly common.
Fix — Quickly scan the `back_examples` to verify the compounds are widely used and suitable for N4 study.
✗ Overlooking furigana on compound words.
Fix — Double-check that all compound readings include furigana, especially for kanji not yet fully learned.
✗ Expecting a fully functional SRS system.
Fix — Understand that `suggested_srs_interval_days` is a data point for integration into an existing SRS, not a built-in feature.

Frequently asked questions

Q.Can I use this prompt to generate flashcards for JLPT N3 or N5?

Yes, you can modify the target_jlpt_level variable to "JLPT N3" or "JLPT N5". However, always verify the generated kanji and vocabulary against official lists for accuracy.

Q.How accurate are the furigana readings and English meanings?

The model strives for high accuracy. However, language models can sometimes make subtle errors. Always cross-reference with a reliable dictionary or textbook, especially for critical study.

Q.Does the prompt generate audio files directly?

No, the audio_cue field provides a suggested filename. You will need to use a separate text-to-speech tool or a dedicated audio resource to create the actual audio files.

Q.What if I need more than two example compound words per kanji?

The current prompt is configured for two examples. You would need to edit the prompt constraints and output structure to request more examples, which might impact generation quality.

Q.Can the output be provided in a different format, like CSV or plain text?

The prompt is designed to output a JSON array. To convert it to other formats, you would need to use a separate script or an online converter after generation.

Q.How should I interpret the `suggested_srs_interval_days`?

This integer is a starting point for a Spaced Repetition System. It suggests how many days until the first review. Integrate it into your preferred SRS software, like Anki, for optimized learning.

Version 1.0Last reviewed July 13, 2026

Reviewed by PromptInFlow Editorial Team