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Hypothesis to Anki Sync

🔥 Supercharge Your Learning & Memory Retention 🚀

🧠 What is this project?

This project automates the process of fetching annotations from Hypothesis and syncing them to Anki as flashcards. It uses the Hypothesis API to retrieve annotations and AnkiConnect to add them as cards to a specified Anki deck. Additionally, it sends you a daily email summary of the flashcards created so you can review what you studied right before bed—leveraging science-backed memory techniques to ensure long-term retention.

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🌟 Why is this powerful?

🚨 The Problem: We Learn, Then We Forget

Most of us consume a massive amount of information daily—books, research papers, articles, notes—but struggle to retain what we learn. Studies show that without review, people forget nearly 50% of new information within an hour and up to 90% within a week. This phenomenon, known as the Forgetting Curve, means that unless you actively reinforce what you've learned, it fades away.

🎯 The Solution: Spaced Repetition & Sleep-Based Memory Consolidation

This project leverages two of the most effective learning techniques:

1. Spaced Repetition (via Anki) – Uses scientifically proven intervals to reinforce memories before they fade.
2. Sleep-Based Learning – Reviewing information before sleep significantly boosts retention. During deep sleep, your brain strengthens synaptic connections, making newly acquired knowledge more permanent. Studies in neuroscience show that people who review information before bed remember it up to 40% better than those who review it at other times.

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🛠 What this does ?

✅ Auto-sync annotations to Anki – Never manually create flashcards again. Your key insights from Hypothesis are automatically converted into study material.

✅ Daily email review – Get a summary of your new flashcards every night to reinforce learning before sleep.

✅ Effortless knowledge retention – Beat the forgetting curve with active recall and spaced repetition.

✅ Boost productivity – Save time by automating note organization and review.

✅ Personalized learning – Only study what you found important in your readings.

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🚀 How to Use

1. Set up Hypothesis & AnkiConnect on your device.
2. Run the script to sync annotations from Hypothesis to Anki.
3. Receive your daily email summary and review your notes before bed.
4. Watch your knowledge retention skyrocket! 📈

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⚡ Why This Matters

In an age of information overload, learning isn't just about consuming—it's about retaining and applying knowledge. This tool ensures that what you read doesn't just fade away, but becomes part of your long-term intellectual arsenal. The smartest learners aren't the ones who read the most, but the ones who remember and apply what they read.

💡 Want to stay ahead? Start using this project today and transform the way you learn.

Features

• Fetch Annotations: Retrieve annotations from Hypothesis using the API.
• Create Anki Cards: Automatically create Anki cards with:
  • Front: The annotation text.
  • Back: The exact quoted text and a link to the source.
  • Tags: Tags from Hypothesis (e.g., #wikipedia, #lion) and a custom Hypothesis tag.
• Auto-Open Anki: Opens Anki if it’s not already running.
• Auto-Close Anki: Closes Anki after processing annotations.
• Avoid Duplicates: Tracks processed annotations to avoid adding duplicates.
• Daily Email Summary: Sends an email with a summary of the flashcards created each day.

Prerequisites

Before using this project, ensure you have the following:

1. Python 3.x: Install Python from python.org.
2. Anki: Install Anki from apps.ankiweb.net.
3. AnkiConnect: Install the AnkiConnect add-on:
   • Open Anki, go to Tools > Add-ons > Get Add-ons.
   • Enter code 2055492159 to install AnkiConnect.
   • Restart Anki.
4. Hypothesis API Token: Obtain your API token from Hypothesis:
   • Go to Hypothesis Developer Tokens.
   • Generate a new token and copy it.
5. Gmail Account: A Gmail account to send email summaries. Enable App Passwords for secure access.

Installation

1. Clone this repository:

   git clone https://github.com/L1ZLe/Hypothesis-to-Anki-Sync
   cd hypothesis-to-anki

2. Install the required Python packages:

   pip install -r requirements.txt

3. Replace the placeholder API token in the script:

   • Open hypothesis_to_anki.py.
   • Replace API_TOKEN = "TTTTTTTTTTTTTTTTTTTTT" with your actual Hypothesis API token.

4. Configure email settings:

   • Open email_sender.py.
   • Replace EMAIL_FROM with your Gmail address.
   • Replace EMAIL_PASSWORD with your Gmail app password.

5. (Optional) Replace the group ID:

   • If you want to fetch annotations from a specific Hypothesis group, replace "group": "TTTTTTTTT" with your group ID.

Usage

Running the Script

1. Run the script manually:

   python3 hypothesis_to_anki.py

2. The script will:

   • Open Anki if it’s not already running.
   • Fetch new annotations from Hypothesis.
   • Create Anki cards in the Hypothes.is deck.
   • Send an email summary of the flashcards created.
   • Close Anki after processing.

Scheduling the Script

You can schedule the script to run automatically at a specific time (e.g., daily at 11 PM).

On Linux (cron):

1. Open the crontab editor:

   crontab -e

2. Add the following line to run the script daily at 11 PM:

   0 23 * * * export DISPLAY=:0 && /home/jacob/Desktop/My-Scripts/daily-knowledge-review/myenv/bin/python /home/jacob/Desktop/My-Scripts/daily-knowledge-review/hypothes.is_to_anki.py >> /home/jacob/Desktop/My-Scripts/daily-knowledge-review/cron_output.log 2>&1

On Windows (Task Scheduler):

1. Open Task Scheduler.
2. Create a new task:
   • Set the trigger to daily at 11 PM.
   • Set the action to run pythonw.exe with the script path as an argument.

On Mac (cron or launchd):

1. Use cron (similar to Linux) or launchd for scheduling.

How It Works

1. Fetch Annotations:

   • The script uses the Hypothesis API to fetch annotations created after the last run.
   • Annotations are filtered by group (if specified) and sorted by creation date.

2. Create Anki Cards:

   • For each annotation, the script creates an Anki card with:
     • Front: The annotation text.
     • Back: The exact quoted text and a link to the source.
     • Tags: Tags from Hypothesis and a custom Hypothesis tag.

3. Avoid Duplicates:

   • The script tracks processed annotation IDs in processed_ids.txt to avoid adding duplicates.

4. Send Email Summary:

   • After processing annotations, the script sends an email with a summary of the flashcards created.

5. Auto-Open and Close Anki:

   • The script opens Anki if it’s not running and closes it after processing annotations.

Files

• hypothesis_to_anki.py: The main script.
• email_sender.py: Handles sending email summaries.
• last_run.txt: Stores the timestamp of the last processed annotation.
• processed_ids.txt: Stores the IDs of processed annotations to avoid duplicates.

Troubleshooting

Common Issues

1. AnkiConnect Not Running:

   • Ensure Anki is open and AnkiConnect is installed.
   • Check if AnkiConnect is reachable at http://localhost:8765.

2. Hypothesis API Errors:

   • Verify that your API token is correct.
   • Check the Hypothesis API status at Hypothesis Status.

3. Email Not Sending:

   • Ensure email_sender.py is configured with the correct Gmail credentials.
   • Check your Gmail account for security alerts and allow access.

4. Anki Not Closing:

   • Ensure the psutil library is installed (pip install psutil).
   • If Anki doesn’t close, you can forcefully terminate it by replacing proc.terminate() with proc.kill() in the script.

Debugging

• Add debug prints to the script to trace its execution.
• Check the terminal output or cron_output.log for errors and warnings.

Contributing

Contributions are welcome! If you find a bug or have a feature request, please open an issue or submit a pull request.

License

This project is licensed under the MIT License. See the LICENSE file for details.

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Example Output

When you run the script, you’ll see output like this:

Anki is not running. Opening Anki...
Successfully processed 3 new annotations.
Successfully sent learning summary email.
Closing Anki (PID: 12345)...

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