# Be My Anchor 🎙️

> Transform articles, tech blogs, and research papers into an engaging, hearing-first multimedia podcast experience.

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## Features (Milestone 1)

- **High-Fidelity Neural Audio Generation**: Multi-provider TTS architecture powered by Microsoft Edge Neural Voices (free, zero-key) with OpenAI TTS interface ready.
- **Smart Text Chunking & Audio Stitching**: Automatically splits long articles and paragraphs into natural spoken chunks, stitches them into a unified `.mp3`, and calculates precise timing cues.
- **Local File System Audio Storage**: Decoupled audio management with native HTTP Range streaming support for smooth scrubbing.
- **Synchronized Web Player**:
  - Interactive player with Play / Pause, Progress scrubbing, Speed controls (0.8x - 2.0x), and ±15s jumps.
  - Live synchronized transcript that auto-scrolls and highlights the active spoken paragraph.
  - Click-to-seek directly from transcript.
- **Episode Library**: Local database persistence via Prisma & SQLite (easily migratable to MongoDB / PostgreSQL).

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## Tech Stack

- **Framework**: Next.js 16 (App Router) + React 19 + TypeScript
- **Styling**: Tailwind CSS + Lucide Icons
- **Database & ORM**: Prisma + SQLite
- **Audio Engine**: `msedge-tts` (Neural TTS)

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## Quick Start

### 1. Install Dependencies
```bash
npm install
```

### 2. Initialize Database
```bash
npx prisma db push
```

### 3. Run Development Server
```bash
npm run dev
```

Open [http://localhost:3000](http://localhost:3000) in your browser.

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## Architecture & Roadmap

Refer to [Product Requirements Document (`docs/prd.md`)](docs/prd.md) for full architecture details:
- **Phase 1 (Complete)**: Audio generation core, chunking, stitching, local audio storage, and synchronized web player.
- **Phase 2 (Upcoming)**: Hearing-front LLM transformation (Feynman Deep-Dive Presenter & Dual-Host Banter).
- **Phase 3 (Upcoming)**: Synchronized visual stage (displaying diagrams, figures, and code in sync with audio).