Popular GitHub Repositories for Msp Podcast

An Open Source Python alternative to NotebookLM's podcast feature: Transforming Multimodal Content into Captivating Multilingual Audio Conversations with GenAI

AI Podcast Generator for bilingual episodes, Multi Languages, Alternative to NotebookLLM；真人对话AI播客生成器，多语言，多音色

Angular 20 Fullstack Starter with Node.js, Java, and AI (LLM, Voice, Podcast). Includes SSR, PWA, REST APIs, Docker.

Angular 20 Fullstack Starter with Node.js (JavaScript & TypeScript), Spring Boot, and AI (LLM, Voice, Podcast). Includes SSR, PWA, REST APIs, Docker, and CI/CD pipelines.

A CLI text-to-speech tool using the Kokoro model, supporting multiple languages, voices (with blending), and various input formats including EPUB books and PDF documents.

Fully automated video maker using motion graphics and text-to-speech synthesis to turn newsletters into daily YouTube videos.

OpenAI-powered semantic search for any YouTube playlist – featuring the All-In Podcast. ?

How to use our public wav2vec2 dimensional emotion model

The AI Podcast Studio: generate podcasts scripts and their audio version with a team of AI workers in a Podcast Studio ???

[OpenPAR] An open-source framework for Pedestrian Attribute Recognition, based on PyTorch

Automatically generate engaging AI podcasts from nothing but an episode title.

Blueprint by Mozilla.ai for generating podcasts from documents using local AI

Batch convert video to text using openai's whisper or the local coreML via whisper.cpp on your MacBook

A class for generating realistic audio (TTS) for podcasts and dialogues.

Open Sourced NoteBookLM

An AI-Powered Podcast App.

A Python pipeline tool and plugin ecosystem for processing technical documents. Process papers from arXiv, SemanticScholar, PDF, with GROBID, LangChain, listen as podcast. Customize your own pipelines.

Local11Labs allows generating high-quality text-to-speech and podcast content using the fast and tiny Kokoro-82M.

A cutting-edge AI SaaS platform that enables users to create, discover, and enjoy podcasts with advanced features like text-to-audio conversion with multi-voice AI, podcast thumbnail image generation, and seamless playback. The platform is built using Next.js, TypeScript, Convex, OpenAI, Stripe, Clerk, ShadCN, and Tailwind CSS.

AI Frontiers Digest leverages LLMs to intelligently curate and summarize the latest developments in AI, while also generating engaging Podcasts.