MIT License

项目介绍

deepsingh132/aionair 是一个托管在 GitHub 上的开源项目,主要使用 TypeScript 编写,采用 MIT License 许可证,目前获得 52 个 Star、17 次 Fork。

仓库全名
deepsingh132/aionair
开源许可证
MIT License
Star 数
52
Fork 数
17

README 摘要

OnAir.ai Podcast Platform 📋 Table of Contents 1. 🤖 Introduction 2. ⚙️ Tech Stack 3. 🔋 Features 4. 📸 Screenshots 5. 🤸 Getting Started 6. 🐳 Docker Instructions 7. 📄 License 8. 📞 Contact 🤖 Introduction 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…

完整内容见 GitHub 原始 README 或本页 。

常见问题

aionair 用什么语言开发?

主要使用 TypeScript 编写,采用 MIT License 许可证,目前有 52 个 Star。

aionair 可以免费商用吗?

仓库采用 MIT License 许可证,可免费使用与修改,商业使用请遵守许可证条款(例如保留版权声明与许可声明)。

如何获取 aionair 的源码?

可以直接克隆仓库:git clone https://github.com/deepsingh132/aionair.git,默认分支为 main;安装与运行步骤见仓库 README。

aionair 最近还在维护吗?

仓库最近一次更新为 2025年3月20日,当前没有未关闭的 Issue;Star 数为 52,可作为社区活跃度的参考。

关于

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.

描述取自 GitHub 官方 API,中文内容由 GitRead 中文社区 编辑团队整理。

语言占比

CSS
Dockerfile
JavaScript
TypeScript

Release

贡献者

README


Project Banner
typescript nextdotjs tailwindcss openai convex clerk shadcn zod

OnAir.ai Podcast Platform

GitHub deployments Docker Image CI Node.js CI GitHub license PRs Welcome

"Buy Me A Coffee"

📋 Table of Contents

  1. 🤖 Introduction
  2. ⚙️ Tech Stack
  3. 🔋 Features
  4. 📸 Screenshots
  5. 🤸 Getting Started
  6. 🐳 Docker Instructions
  7. 📄 License
  8. 📞 Contact

🤖 Introduction

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, Clerk, ShadCN, and Tailwind CSS. It offers a modern home page, podcast discovery page, search functionality, podcast creation page, profile page, podcast details page, and a responsive design for a seamless user experience.

⚙️ Tech Stack

  • Next.js
  • TypeScript
  • Convex
  • OpenAI
  • Stripe (for payments)
  • Clerk
  • ShadCN
  • Tailwind CSS
  • Zod (for validation)

🔋 Features

👉 Advanced Authentication: Offers secure and dependable user login and registration functionalities.

👉 Contemporary Home Page: Highlights trending podcasts with a persistent player for uninterrupted listening.

👉 Podcast Discovery Page: A dedicated section for users to explore a wide range of new and popular podcasts.

👉 Comprehensive Search Functionality: Empowers users to effortlessly find podcasts using various filters and criteria.

👉 Podcast Creation Page: Facilitates podcast creation with text-to-speech conversion, AI-generated images, and preview options.

👉 Multi-Voice AI Capability: Provides multiple AI-generated voice options for creating dynamic and engaging podcasts.

👉 User Profile Page: Allows users to view and manage their created podcasts, including options to delete them.

👉 Detailed Podcast Page: Presents in-depth information about each podcast, including creator details, listener statistics, and transcripts.

👉 Enhanced Podcast Player: Includes features like rewind/fast forward controls and mute/unmute functionality for an optimal listening experience.

👉 Responsive Design: Ensures the platform looks great and works seamlessly on all devices and screen sizes.

and many more, including code architecture and reusability

📸 Screenshots

Homepage
Home Page
Discover Page
Discover Page
Create Podcast Page
Create Podcast Page
Podcast Details Page
Podcast Details Page
Profile Page
Profile Page
Plans Page
Plans Page
Payment / Stripe Checkout Page
Payment Page
Usage Page
Usage Page

🤸 Getting Started

Follow these steps to set up the project locally on your machine.

Prerequisites

Make sure you have the following installed on your machine:

Cloning the Repository

git clone https://github.com/deepsingh132/aionair.git
cd aionair

Installation

Install the project dependencies using npm:

npm install

Set Up Environment Variables

Create a new file named .env in the root of your project and add the following content to your local env file and on the convex dashboard:

CONVEX_DEPLOYMENT=
NEXT_PUBLIC_CONVEX_URL=
NEXT_PUBLIC_CLERK_PUBLISHABLE_KEY=
CLERK_SECRET_KEY=
NEXT_PUBLIC_CLERK_SIGN_IN_URL='/sign-in'
NEXT_PUBLIC_CLERK_SIGN_UP_URL='/sign-up'
OPENAI_API_KEY=
NEXT_PUBLIC_STRIPE_PUBLISHABLE_KEY=
STRIPE_SECRET_KEY=

Replace the placeholder values with your actual Convex & Clerk credentials. You can obtain these credentials by signing up on the Convex, Clerk, OpenAI and Stripe websites.

Running the Project

npm run dev

Open http://localhost:3000 in your browser to view the project.

Testing Stripe Payments

To test the Stripe payments/subscriptions functionality, you can use the following test card details:

  • Card Number: 4242 4242 4242 4242
  • Expiry Date: Any future date
  • CVC/CVV: Any 3-digit number
  • Cardholder Name: Any name
  • Address: Any address (e.g., 123 Main Street)
  • ZIP Code: Any 5-digit number

You can also use the Stripe Test Cards for more test card details.

🐳 Docker Instructions

You can run this project using Docker with the latest image from Docker Hub. Make sure you have Docker installed and running on your machine. Follow these steps:

  1. Pull the latest image from Docker Hub.

    docker pull deepsingh132/aionair:latest
    
  2. Run the Docker image with the following command:

    docker run --env-file .YOURENVFILE -p 3000:3000 deepsingh132/aionair:latest
    
  3. Open http://localhost:3000 in your browser to view the project.

📚 License

This project is licensed under the MIT License - see the LICENSE file for details.

📞 Contact

If you have any queries or feedback, please feel free to reach out to me at my email or connect with me on LinkedIn.



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