AutoNotes is a powerful web-based transcription and summarization tool that combines the capabilities of Whisper, Ollama, and yt-dlp. It allows users to upload or download audio (e.g., from YouTube), transcribe it, summarize its content, and chat with a language model—all from an intuitive and interactive UI.

• 🔉 Audio upload with drag-and-drop UI
• 🧠 Whisper-based transcription
• ✍️ Ollama-powered summarization and chatbot
• 📥 YouTube audio downloader via yt-dlp
• 📋 Clipboard-aware auto-fill for YouTube links
• 📂 Optional file storage to persist downloaded files
• 💬 Prompt templates with click-to-insert and editable chat
• 🔒 Click-to-copy that excludes AI's inner <think> thoughts

• Python 3.8+
• yt-dlp installed and available in PATH
• A running Ollama instance
• Whisper model (e.g., medium) will be downloaded on first run

Install using requirements.txt:

pip install -r requirements.txt

git clone https://github.com/your-username/AutoNotes.git
cd AutoNotes

python -m venv .venv
source .venv/bin/activate

pip install -r requirements.txt

flask run

Then open http://localhost:5000 in your browser.

You can override default settings with environment variables:

OLLAMA_API=http://localhost:11434/api/chat
LLM_MODEL=deepseek-r1:14b
WHISPER_MODEL_DIR=./models/whisper

To run the app with a single command like autonote, follow these steps:

1. Create an executable script called autonote:

   touch autonote
   chmod +x autonote

2. Paste the following into the script:

   #!/bin/bash
   cd /your/path/to/AutoNotes
   source .venv/bin/activate
   flask run

3. Move it to a directory in your $PATH:

   sudo mv autonote /usr/local/bin/autonote

Now run:

autonote

• Downloaded audio files are saved to /tmp by default and cleaned up after summarization.
• If the Store button is clicked, the file is moved to ./storage/ and retained.

• 🧑‍🎓 Students summarizing lectures
• 🎙️ Podcasters extracting show notes
• 📽️ YouTubers creating video abstracts
• 💼 Professionals capturing meeting takeaways

Feel free to open issues or pull requests to improve the tool!

• Whisper by OpenAI
• Ollama
• Flask