{"repo":"francescopeluso/flashcard-inator","free":true,"listed":false,"github":"https://github.com/francescopeluso/flashcard-inator","clone":"git clone https://github.com/francescopeluso/flashcard-inator.git","description":"Automatically transform your Obsidian notes into Anki flashcards using local language models","language":"Python","stars":14,"topics":["anki","llm","lmstudio","obsidian","ollama","study"],"license":"MIT","category":"ai-agents","readme_excerpt":"🧠 Flashcard-inator 🚀 Automatically transform your Obsidian notes into Anki flashcards using local language models! A cool Python script that automatically generates Anki flashcards from your Obsidian Markdown notes, using local language models (Ollama or LM Studio) without using and being rate limited by online third party services. ✨ Key Features - 🤖 Multi-provider LLM Support : Works with Ollama and LM Studio - 🌍 Language Detection : Automatically detects content language and generates flashcards in the same language (Italian by default) - 🧹 Intelligent Processing : Cleans Obsidian-specific syntax and metadata - 📤 Anki-ready Export : Generates CSV files directly importable into Anki - ⚙️ Configurable Processing : Control which files to process - 🔍 Detailed Logging : Optional detailed output for debugging - 📊 Smart Chunking : Automatically handles large files by dividing them into manageable pieces - ✨ Unlimited Flashcards : Generates as many flashcards as possible from your content 📋 Prerequisites - Python 3.8 or higher - Obsidian with a vault containing Markdown notes - Access to Ollama or LM Studio for local inference 🔧 Installation 1. Clone or download the project files: 2. Create and activate a Python virtual environment (recommended): 3. Install the Python dependencies: 🛠️ Configuration For Ollama (Default) 1. Install and start Ollama: 2. Download a model (e.g. Gemma 3): For LM Studio 1. Install and start LM Studio 2. Load a model in the application 3. Enabl","default_branch":null,"files":null,"tree":[],"storefront":"/r/francescopeluso","claimed":false,"request_supported":{"post":"https://gitbuyer.com/r/francescopeluso/flashcard-inator/request-supported","requests":0},"note":"indexed from public GitHub; nothing is for sale on this page. Clone it from GitHub. Paid listings live at /search."}