NoteNinja is an AI-powered note-taking application that transforms audio, text, and other inputs into organized, actionable insights. Built with Flask and state-of-the-art NLP models from Hugging Face and spaCy, NoteNinja offers robust transcription, summarization, translation, mind map generation, and more—all designed to help you capture your ideas like a stealthy ninja.
- Audio Transcription: Convert uploaded audio files to text using advanced speech recognition with noise reduction.
- Smart Summarization: Generate multiple types of summaries (brief, detailed, key points, action items) using pre-trained transformer models.
- Keyword & Insight Extraction: Use KeyBERT and spaCy to extract key phrases, sentiment, and readability scores.
- Translation: Instantly translate text using cutting-edge translation models.
- Mind Map Generation: Create structured visual representations (mind maps) of your note content.
- Flashcard Creation: Automatically generate flashcards from key sentences for study and review.
- PDF Export: Build enhanced, styled PDFs of your notes with ReportLab.
- Question Answering: Ask questions about your notes using a dedicated QA pipeline.
- RESTful API: Integrate all functionalities into your own workflows via a comprehensive API.
Check out our live demo at https://your-demo-link.com.
Ensure you have the following installed:
- Python 3.8 or higher
- Flask
- Transformers
- SpeechRecognition
- KeyBERT
- spaCy
- ReportLab
- WordCloud
- Other dependencies as listed in
requirements.txt
Clone the repository:
git clone https://github.com/yourusername/NoteNinja.git
cd NoteNinja
Install the required dependencies:
bash
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pip install -r requirements.txt
Running the Application
Start the Flask server:
bash
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python app.py
Open your web browser and navigate to http://localhost:5000 to start using NoteNinja.
API Endpoints
NoteNinja provides several RESTful endpoints for integration:
POST /process-audio
Upload an audio file to receive its transcription, smart summaries, and key insights.
POST /generate-mindmap
Generate a visual mind map from provided text.
POST /translate
Translate input text to a specified language.
POST /analyze-text
Analyze text to produce summaries, keywords, sentiment scores, and readability metrics.
POST /generate-flashcards
Automatically create flashcards based on key sentences from your notes.
POST /ask-question
Ask a question about a note’s content and get an AI-generated answer.
POST /download-enhanced-pdf
Download a styled PDF version of a note.
For detailed API documentation, refer to API_DOCS.md.
Usage
Upload Audio: Use the /process-audio endpoint or the web interface to upload an audio file.
Review Transcription & Summaries: The app will display the transcription, multiple summaries, and extracted insights.
Translate or Analyze: Use the /translate and /analyze-text endpoints for additional text processing.
Visualize Data: Generate mind maps and flashcards to reinforce learning or plan projects.
Export: Download a professional PDF version of your notes for offline use or sharing.
Contributing
Contributions are welcome! Please read our CONTRIBUTING.md for guidelines on how to get started, report issues, or submit pull requests.
License
This project is licensed under the MIT License.
Acknowledgements
Hugging Face: For their amazing transformers library and pre-trained models.
spaCy: For providing robust natural language processing tools.
ReportLab: For enabling dynamic PDF generation.
KeyBERT: For the key phrase extraction capabilities.
WordCloud: For creating engaging visualizations.
Special thanks to our contributors and the open-source community for their invaluable support.
Contact
For any questions, suggestions, or support, please contact us at codekundan01@gmail.com
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