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Local-NotebookLM is a local AI tool for turning PDF documents into generated audio content. It works like a self-hosted alternative to NotebookLM-style document-to-audio workflows. The system extracts and processes PDF text, sends the content through an LLM, and converts the result into speech with configurable voices. Users can generate podcasts, summaries, interviews, lectures, debates, tutorials, news reports, executive briefs, and other formats. It supports multiple LLM providers, including local and hosted options, and can be used through a command-line workflow, API server, Docker setup, or web UI. Overall, it is useful for students, researchers, and knowledge workers who want private, customizable audio summaries from documents.
Features
- PDF-to-audio generation workflow
- Podcast, summary, interview, debate, lecture, and tutorial formats
- Support for OpenAI, Groq, LM Studio, Ollama, and Azure
- Text-to-speech conversion with voice selection
- Command-line, Docker, FastAPI, and web UI access
- Custom language, style, length, speaker count, and content preferences
Project Samples
