PageLM

PageLM

PageLM is an open-source education platform inspired by NotebookLM that transforms study materials into interactive learning resources such as quizzes, flashcards, notes, and podcasts, leveraging state-of-the-art large language models and text-to-speech systems.

PageLM is notes software teams evaluate for education & research. Use this page to review pricing, integration signals, and the best alternatives before you commit.

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Added 0 year ago
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Quick Overview

Best for: Education & Research

What it does

Notes software for decision-makers comparing workflow fit and alternatives.

Best fit

Education & Research

Pricing snapshot

Free

Next step

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PageLM

PageLM is a community-driven open-source version of NotebookLM designed to enhance educational experiences by converting study materials into interactive resources. It supports multiple document formats including PDF, DOCX, Markdown, and TXT, enabling students, educators, and researchers to engage with content through quizzes, flashcards, structured notes, and podcasts. The platform integrates advanced large language models (LLMs) and text-to-speech (TTS) technologies to improve learning efficiency and accessibility. It offers a modern interface and supports various AI models and embedding providers, making it a versatile tool for interactive learning.

PageLM is the OSS version of NotebookLM

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Key Features

Contextual Chat

Allows users to ask questions about uploaded documents in formats such as PDF, DOCX, Markdown, and TXT.

SmartNotes

Automatically generates Cornell-style notes from topics or uploaded content to facilitate structured learning.

Flashcards

Extracts non-overlapping flashcards for spaced repetition learning.

Quizzes

Creates interactive quizzes with hints, explanations, and scoring to test knowledge.

AI Podcast

Converts notes and topics into engaging audio content for learning on the go.

Voice Transcribe

Converts lecture recordings and voice notes into organized, searchable study materials instantly.

Homework Planner

Uses AI to plan homework smartly and provides assistance if users get stuck.

ExamLab

Simulates exams, provides feedback, and helps users prepare effectively.

Pricing

Free Tier Available

PageLM is an open-source project licensed under the CaviraOSS Community License, free to use, share, and modify for personal and educational purposes.

Use Cases

Student Learning Enhancement

Students can transform their study materials into interactive quizzes, flashcards, and podcasts to improve retention and engagement.

Educator Resource Creation

Educators can create structured notes and interactive learning content to support diverse teaching methods.

Research Material Organization

Researchers can organize and query large volumes of documents using contextual chat and smart note generation.

Exam Preparation

Users can simulate exams and receive feedback to better prepare for tests.

Lecture and Voice Note Transcription

Converts audio recordings into searchable and organized study materials for easier review.

Integrations

Google Gemini

Supports Google Gemini AI models for language processing.

OpenAI GPT

Integrates OpenAI GPT models for advanced language understanding.

Anthropic Claude

Supports Anthropic Claude AI models.

xAI Grok

Integration with xAI Grok models.

Ollama (local)

Supports local Ollama AI models.

OpenRouter

Supports OpenRouter for routing AI model requests.

Embedding Providers

Supports OpenAI, Gemini, and Ollama for embedding generation.

Text-to-Speech Engines

Supports Edge TTS, ElevenLabs, and Google TTS for podcast audio generation.

Benefits

Transforms static study materials into interactive and engaging learning experiences.
Supports multiple AI models and embedding providers for flexible and powerful AI integration.
Facilitates efficient study planning and exam preparation with AI-powered tools.
Open-source and community-driven, allowing customization and contributions.
Supports a wide range of document formats and multimedia inputs.

Limitations

Commercial use or resale requires prior written permission from CaviraOSS.
Requires configuration of API keys and environment variables for full functionality.
Currently no official mobile app support; mobile support is an area for future contribution.

Frequently Asked Questions

What document formats does PageLM support?
PageLM supports PDF, DOCX, Markdown, and TXT file formats for uploading and processing study materials.
Is PageLM free to use?
Yes, PageLM is open-source and free to use for personal and educational purposes under the CaviraOSS Community License.
Can I contribute to PageLM development?
Yes, contributions are welcome. You can fork the repository, create feature branches, and submit pull requests following the contribution guidelines.
What AI models does PageLM support?
PageLM supports multiple AI models including Google Gemini, OpenAI GPT, Anthropic Claude, xAI Grok, Ollama, and OpenRouter.
How do I deploy PageLM?
You can deploy PageLM locally using Node.js or via Docker with provided docker-compose configurations for development and production.

Getting Started

  1. 1 Step 1: Ensure prerequisites are installed: Node.js v21.18+, npm or pnpm, ffmpeg (for podcast audio), and optionally Docker.
  2. 2 Step 2: Clone the repository from GitHub using 'git clone https://github.com/caviraOSS/pagelm.git' and navigate into the directory.
  3. 3 Step 3: Run the setup script appropriate for your OS (Linux or Windows) or manually install dependencies in backend and frontend folders.
  4. 4 Step 4: Configure environment variables by copying '.env.example' to '.env' and setting API keys and other settings.
  5. 5 Step 5: Run backend and frontend servers in separate terminals using 'npm run dev' commands.
  6. 6 Step 6: Access the platform locally at http://localhost:5173.

Support

Discord

Join the community Discord server for discussions, support, and sharing ideas: https://discord.gg/P7HaRayqTh

GitHub Issues

Report bugs or request features via the GitHub repository issues page.

Documentation

Refer to the README and other documentation files in the GitHub repository for setup and usage instructions.

API

Available: No
Documentation:

No explicit API documentation mentioned; the platform uses environment-configured LLM providers and TTS engines.

Rate Limits:

Not available.

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