This project provides an open-source application for voice-based note-taking and AI-powered audio transformation, targeting users who need efficient transcription and content summarization. It leverages Together.ai for robust LLM-powered transcription and transformation capabilities.

How It Works

The application utilizes a modern web stack, including Next.js App Router, Vercel's AI SDK, and Clerk for authentication. Audio files are uploaded to S3, processed by Together.ai's Whisper model for transcription, and then optionally transformed by LLMs for summarization or extraction. Data is managed via Neon Postgres and Prisma, with Upstash Redis handling rate limiting.

Quick Start & Requirements

• Install dependencies with pnpm install.
• Run the application locally using pnpm run dev.
• Requires accounts and API keys for Together AI, Upstash, AWS (S3), Neon, and Clerk.

Highlighted Details

• Integrates Together.ai's Whisper model for transcription.
• Supports LLM-powered transformations like summarization and extraction.
• Built with a Vercel-centric tech stack including Next.js and Vercel AI SDK.
• Uses S3 for object storage and Neon for database persistence.

Maintenance & Community

No specific details on contributors, sponsorships, or community channels are provided in the README.

Licensing & Compatibility

The repository is open-source, but the specific license type is not mentioned in the README. Compatibility for commercial use or closed-source linking would depend on the unstated license.

Limitations & Caveats

The setup process requires multiple third-party service accounts and API keys, which may introduce complexity and potential costs. The project's reliance on specific external services could also pose a risk if those services change their terms or availability.