Educational flashcard generation from course materials

Creating effective flashcards from course materials is tedious work. You sit with lecture notes or textbook chapters, extract key concepts, formulate questions, structure answers, and manually input everything into a study app. If you're processing materials for multiple courses, this becomes a significant time drain that pulls you away from actual learning.

The workflow I'm going to show you eliminates this manual work entirely. You'll feed course materials into an automated pipeline that summarises the content, generates relevant flashcard questions and answers, then outputs them directly into an Anki deck. No copying and pasting. No manual formatting. No jumping between three different applications.

This particular Alchemy uses three complementary tools. Resoomer condenses your source material into its essential points, Rember generates flashcard-worthy Q&A pairs from that condensed content, and AnkiDecks-AI formats everything into proper deck files. When orchestrated together via Zapier, n8n, Make, or Claude Code, the entire process runs automatically whenever you add new course materials.

The Automated Workflow

Tool Selection and Setup

For this workflow, I recommend starting with Zapier if you want the simplest possible setup with minimal technical overhead. If you need more control over data transformation or want to avoid per-task pricing, n8n offers better value once you're running things regularly. Make (Integromat) sits between them for flexibility and cost. Claude Code is worth considering if you're comfortable with Python and want to run this locally or on your own server.

I'll show the Zapier approach in detail, then note what changes for the alternatives.

Step 1: Capture and Summarise

The workflow begins when you add course material to a designated folder or send it via email. Your orchestrator detects this trigger and passes the content to Resoomer's API for summarisation.

Copy
POST https://api.resoomer.com/summarize
Content-Type: application/json

{
  "doc_id": "your_document_id",
  "type": "file",
  "language": "en",
  "summary_length": 5
}

The summary_length parameter accepts values 1 to 10, where 5 gives you roughly 40-50% of the original content distilled to key points. This condensed output becomes the input for the next step. Resoomer's API returns a JSON response containing the summarised text; capture the summary field specifically.

In Zapier, this is straightforward: add a "Webhooks by Zapier" trigger to receive your course material, then use the "API Call" action to hit Resoomer's endpoint. You'll need your API key from Resoomer's dashboard; store this in Zapier's built-in credential store rather than hardcoding it.

Step 2: Generate Flashcard Questions

Once you have the summarised content, Rember takes over. This tool specialises in generating quiz questions and answers from source material. It understands pedagogical structure, so it produces questions that are actually useful for studying rather than random factoid extraction.

Copy
POST https://api.rember.ai/v1/generate-flashcards
Authorization: Bearer YOUR_REMBER_API_KEY
Content-Type: application/json

{
  "text": "Your summarised content here",
  "question_count": 15,
  "difficulty": "intermediate",
  "format": "json"
}

The difficulty parameter accepts "beginner", "intermediate", or "advanced". Set this based on the course level. For undergraduate material, intermediate usually works well. The format: "json" response gives you structured data that's easier to parse in the next step.

Rember returns an array of flashcard objects:

Copy{
  "flashcards": [
    {
      "question": "What is photosynthesis?",
      "answer": "A process by which plants convert light energy into chemical energy...",
      "topic": "Biology",
      "difficulty_level": "intermediate"
    }
  ]
}

In your orchestrator, store this entire response as a variable. You'll iterate through each flashcard object in the next step.

Step 3: Format and Create Anki Deck

AnkiDecks-AI accepts structured flashcard data and outputs proper Anki deck files (.apkg format). The API endpoint is straightforward:

Copy
POST https://api.ankidecks-ai.com/v1/create-deck
Authorization: Bearer YOUR_ANKIDECKS_API_KEY
Content-Type: application/json

{
  "deck_name": "Biology 101 - Photosynthesis",
  "cards": [
    {
      "front": "What is photosynthesis?",
      "back": "A process by which plants convert light energy into chemical energy stored in glucose molecules.",
      "tags": ["biology", "chapter-3"]
    },
    {
      "front": "Name the two stages of photosynthesis.",
      "back": "Light-dependent reactions and the Calvin cycle (light-independent reactions).",
      "tags": ["biology", "chapter-3"]
    }
  ],
  "description": "Generated from course materials"
}

This endpoint returns a file URL where your .apkg deck file is hosted. Your orchestrator can then deliver this link via email, save it to cloud storage, or trigger a download to your device.

Putting It All Together in Zapier

Here's the complete Zap configuration:

1. Trigger: Create a new Zap with "Gmail" or "Dropbox" as your trigger (depending on how you want to submit materials). Set it to trigger on new emails with attachments to a specific label, or new files in a designated folder.

2. Action 1: Extract file content. If using Dropbox, use the "Get File Content" action. If using email with attachments, use Gmail's "Get Attachment" action.

3. Action 2: Call Resoomer. Use "Webhooks by Zapier" → "POST" to hit the Resoomer endpoint. Map the file content from Step 1 into the request body. Store the summarised text from the response in a variable called resoomer_summary.

4. Action 3: Call Rember. Use Webhooks again to POST to Rember's endpoint, passing resoomer_summary as the text input. Store the entire flashcards array in a variable called rember_flashcards.

5. Action 4: Call AnkiDecks-AI. POST to AnkiDecks-AI, mapping the rember_flashcards array into the cards field. In the deck_name field, include a dynamic reference to the original file name or email subject.

6. Action 5: Deliver the result. Use Gmail to email yourself the deck file URL, or use Dropbox to save the .apkg file directly to your Anki folder.

For error handling, add a "Catch" clause after each API call. If any step fails, have Zapier send you a notification with the error details so you can inspect the original material and try again.

Alternative: n8n for Greater Control

If you're self-hosting or using n8n Cloud, the workflow looks similar but gives you more flexibility:

Copy// n8n HTTP Node configuration for Resoomer
{
  "method": "POST",
  "url": "https://api.resoomer.com/summarize",
  "headers": {
    "Content-Type": "application/json",
    "Authorization": "Bearer {{ $env.RESOOMER_API_KEY }}"
  },
  "body": {
    "doc_id": "{{ $json.file_id }}",
    "type": "file",
    "language": "en",
    "summary_length": 5
  }
}

n8n's JSON parsing and variable manipulation are more powerful than Zapier's. You can write custom JavaScript to reshape Rember's output if needed, merge multiple documents before summarising, or add logic to skip materials that are too short.

Create three HTTP nodes (one for each API) and connect them sequentially. Use n8n's "Code" node to transform data between steps if required.

Alternative: Make for Mid-Range Features

Make's interface sits between Zapier's simplicity and n8n's raw power. Set up your scenario with "Gmail" or "Cloud Storage" as the trigger, then use three "HTTP" modules in sequence:

Copy
Module 1: GET content from file/attachment
Module 2: POST to Resoomer with content
Module 3: POST to Rember with summarised text
Module 4: POST to AnkiDecks-AI with flashcard array
Module 5: Email or save the resulting deck

Make charges per operation rather than per task, making it more economical if you're processing materials frequently. The mapping interface is visual and requires no code.

Alternative: Claude Code for Local Execution

If you prefer to run this locally and have more technical comfort, Claude Code can orchestrate this workflow:

Copyimport requests
import json
from datetime import datetime

def generate_flashcards_from_material(file_path, api_keys):
    """
    Complete workflow: summarise material, generate flashcards, create Anki deck
    """
    
    # Step 1: Read file content
    with open(file_path, 'r') as f:
        material_text = f.read()
    
    # Step 2: Summarise via Resoomer
    resoomer_response = requests.post(
        'https://api.resoomer.com/summarize',
        headers={'Authorization': f"Bearer {api_keys['resoomer']}"},
        json={
            'type': 'text',
            'language': 'en',
            'text': material_text,
            'summary_length': 5
        }
    )
    summarised_text = resoomer_response.json()['summary']
    print(f"Summary created: {len(summarised_text)} characters")
    
    # Step 3: Generate flashcards via Rember
    rember_response = requests.post(
        'https://api.rember.ai/v1/generate-flashcards',
        headers={'Authorization': f"Bearer {api_keys['rember']}"},
        json={
            'text': summarised_text,
            'question_count': 15,
            'difficulty': 'intermediate',
            'format': 'json'
        }
    )
    flashcards = rember_response.json()['flashcards']
    print(f"Generated {len(flashcards)} flashcards")
    
    # Step 4: Create Anki deck via AnkiDecks-AI
    deck_payload = {
        'deck_name': f"Course Material - {datetime.now().strftime('%Y-%m-%d')}",
        'cards': [
            {
                'front': card['question'],
                'back': card['answer'],
                'tags': [card['topic'].lower(), card['difficulty_level']]
            }
            for card in flashcards
        ],
        'description': 'Auto-generated from course materials'
    }
    
    anki_response = requests.post(
        'https://api.ankidecks-ai.com/v1/create-deck',
        headers={'Authorization': f"Bearer {api_keys['ankidecks']}"},
        json=deck_payload
    )
    
    deck_url = anki_response.json()['deck_url']
    print(f"Deck created: {deck_url}")
    
    return {
        'summary_length': len(summarised_text),
        'flashcard_count': len(flashcards),
        'deck_url': deck_url
    }

api_credentials = {
    'resoomer': 'your_api_key',
    'rember': 'your_api_key',
    'ankidecks': 'your_api_key'
}

result = generate_flashcards_from_material('lecture_notes.txt', api_credentials)
print(json.dumps(result, indent=2))

Run this script whenever you have new materials, or wrap it in a simple web server that listens for file uploads. Claude Code handles the orchestration logic, API calls, and error handling without being locked into a platform's pricing model.

The Manual Alternative

If you prefer more granular control over flashcard content, the manual approach is still faster than traditional note-taking. Use Resoomer's web interface to summarise documents (no API needed), then manually review the summary before feeding it to Rember. This gives you a chance to edit or expand key points.

For flashcard generation, Rember's web dashboard lets you tweak questions before creating the deck. Some people find certain AI-generated questions are poorly phrased or miss nuance, so this intermediate review step can improve quality. You then export directly to Anki without additional steps.

The trade-off is time: you're adding 5-10 minutes of manual review per document, but eliminating surprises when you study later. Start with full automation, then switch to semi-manual processing if you find the flashcard quality isn't meeting your standards.

Pro Tips

Rate Limiting and Throttling

Resoomer and Rember both enforce rate limits (typically 100 requests per day for free tiers, higher for paid plans). If you're processing multiple documents, spread submissions across the day rather than batching them all at once. In Zapier, use the "Delay" action to add pauses between API calls. In n8n, use the "Rate Limit" node. This prevents hitting limits and keeps your costs predictable.

Error Recovery and Retry Logic

Not all documents summarise well. Academic papers with dense mathematics, heavily formatted slides, or scanned PDFs sometimes confuse these tools. Configure your orchestrator to catch failures and notify you rather than silently skipping materials. Zapier's error handling is basic; n8n and Make offer more sophisticated retry logic. If Resoomer fails, try increasing the summary_length parameter or breaking the document into smaller sections.

Cost Optimisation Across Plans

Resoomer's free tier includes 50 summaries per month. If you're processing weekly course materials for one or two courses, this is enough. Rember and AnkiDecks-AI similarly offer free trials; combine them strategically before committing to paid tiers. Zapier charges per task (roughly £0.02 per task after free tier), so a 5-step workflow costs about £0.10 per document. n8n's self-hosted version has no per-operation cost once running, making it better for frequent processing.

Customising Question Difficulty

The difficulty parameter in Rember significantly affects question quality. Beginner difficulty produces simpler factual questions suited to memorisation. Intermediate adds conceptual questions that require understanding connections. Advanced generates scenario-based questions asking you to apply knowledge. Match this to your course level and learning goals.

Organising Decks by Topic

AnkiDecks-AI's tags field is powerful for organisation. Structure tags as [course_code, chapter_number, topic] so you can review just photosynthesis one day and cellular respiration the next. When importing decks into Anki, these tags become filterable, turning a massive deck into manageable daily sets.

Cost Breakdown

For processing 4 documents per month, the free tier of all three tools costs nothing. At 20 documents per month, a Resoomer Pro subscription (£12) plus Zapier Professional (£20) totals £32 monthly. Self-hosted n8n with free tiers of the three tools costs essentially nothing beyond internet connectivity.