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Cover image for AudioIntel - Transform Audio into Actionable Intelligence
Amit Wani
Amit Wani

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AudioIntel - Transform Audio into Actionable Intelligence

This is a submission for the AssemblyAI Challenge: Sophisticated Speech-to-Text & No More Monkey Business. πŸ†

What I Built πŸ› οΈ

I built AudioIntel - a powerful platform that transforms audio content into actionable intelligence using AssemblyAI's cutting-edge APIs. The platform helps users extract valuable insights from audio content through advanced transcription, analysis, and AI-powered features. ✨

πŸ”— Live Demo: https://audiointel.amitwani.dev

πŸŽ₯ Demo Video

Journey πŸ—ΊοΈ

The Inspiration πŸ’‘

The idea for AudioIntel came from my own struggles with processing audio content efficiently. As someone who consumes a lot of podcasts, interviews, and video content, I often found myself wanting to quickly extract key insights without listening to hours of content. I realized this was a common pain point for many content creators, researchers, and professionals. 🎧

Learning & Iterations πŸ“š

  • πŸ”„ Integration with AssemblyAI's powerful APIs for transcription and analysis
  • πŸ—£οΈ Leveraging AssemblyAI's speaker diarization and sentiment analysis features
  • 🧠 Leveraging AssemblyAI with LeMUR for summarization, question answering, and intelligent content analysis
  • ⚠️ Error handling in audio processing and real-time status updates
  • πŸ”„ State management for handling complex UI interactions
  • ⚑ Performance optimization for processing large audio files
  • πŸ’Ύ Database integration using Neon PostgreSQL with Drizzle ORM
  • πŸ”’ User authentication implementation with Better Auth
  • 🌐 Language translation features using Google Translate API
  • πŸ“€ File upload handling through UploadThing integration

Features Showcase ✨

Multiple Input Sources πŸ“₯

  • πŸ“ File Upload: Support for various audio formats through UploadThing integration
  • πŸŽ™οΈ Browser Recording: Direct audio capture using the Web Audio API
  • πŸ“Ί YouTube Integration: YouTube video to audio conversion and analysis

Real-time Analysis πŸ“Š

  • πŸ‘₯ Speaker diarization with timeline visualization
  • 😊 Sentiment analysis with color-coded segments
  • πŸ” Interactive transcript search and navigation
  • πŸ’¬ Interactive chat with the transcript

Smart Content Generation πŸ“

  • πŸ€– AI-powered blog post creation
  • πŸ’­ Context-aware chat interface
  • πŸ“Œ Key sections identification with timestamps

Language Translation 🌍

  • πŸ”„ Translate transcript to multiple languages

Screenshots πŸ“Έ

Multiple Sources - Audio file, Record file & YouTube πŸ“±

audioFile
recordAudio
youtube

Overview & Analysis πŸ“Š

overview
summary

Interactive Features ⚑

transcript
chat
blog

Tech Stack πŸ’»

  • πŸ”₯ Framework: Next.js 14 with App Router
  • πŸ“ Language: TypeScript
  • πŸ’Ύ Database: Neon PostgreSQL with Drizzle ORM
  • 🎨 UI: Tailwind CSS + shadcn/ui
  • πŸŽ™οΈ Audio Processing: AssemblyAI
  • πŸ“€ File Upload: UploadThing
  • πŸ“Š Analytics: OpenPanel
  • πŸ”’ Authentication: Better Auth
  • 🌐 Translation: Google Translate
  • πŸš€ Deployment: Vercel

Techincal Archicture πŸ—οΈ

tech-architecture

Technical Implementation βš™οΈ

AssemblyAI Integration πŸ”Œ

I leveraged several powerful features from AssemblyAI's SDK:

  1. Transcription API
const transcript = await assemblyai.transcripts.transcribe({
  audio: fileUrl,
  speaker_labels: true,
  summarization: true,
  summary_model: "conversational",
  summary_type: "bullets",
  sentiment_analysis: true,
});
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  1. LeMUR for Content Generation
// Generate blog post
const { response: blogPostResponse } = await assemblyai.lemur.task({
  transcript_ids: [transcript.id],
  prompt: `Generate a blog post from the transcript in markdown format`,
  final_model: "anthropic/claude-3-5-sonnet",
});

// Generate actionable insights
const { response: insights } = await assemblyai.lemur.task({
  transcript_ids: [transcript.id],
  prompt: `Provide actionable insights from the transcript`,
  final_model: "anthropic/claude-3-5-sonnet",
});
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  1. LeMUR for Interactive Chat
const { response: qas } = await assemblyai.lemur.questionAnswer({
  transcript_ids: [transcriptId],
  final_model: "anthropic/claude-3-5-sonnet",
  questions: [{ question: userMessage, answer_format: "short sentence" }],
});
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Future Enhancements πŸš€

  • Multi-language support
  • Advanced analytics dashboard
  • API endpoints
  • Custom templates
  • Advanced search capabilities

Source Code πŸ”—

GitHub logo mtwn105 / audio-intel

AudioIntel - Audio/Video Intelligence, Transcripts, Summary, and much more

πŸŽ™οΈ AudioIntel

Transform audio into actionable intelligence with our powerful AI platform. AudioIntel helps you extract valuable insights from audio content through transcription, analysis, and AI-powered features.

✨ Features

  • 🎡 Multiple Input Methods

    • Upload audio files (MP3, WAV)
    • Record directly in browser
    • Analyze YouTube videos
  • πŸ€– AI-Powered Analysis

    • Smart summaries and key takeaways
    • Sentiment analysis
    • Speaker identification
    • Actionable insights generation
  • πŸ“ Content Generation

    • Automatic blog post creation
    • Interactive chat with transcripts
    • Key sections identification
  • πŸ” Advanced Features

    • Timeline view with precise timestamps
    • Multi-speaker detection
    • Searchable transcripts
    • Real-time sentiment tracking

πŸš€ Getting Started

Prerequisites

  • Node.js 18+
  • npm or yarn
  • AssemblyAI API key

Installation

  1. Clone the repository
git clone https://github.com/yourusername/audio-intel.git
cd audio-intel
  1. Install dependencies
npm install
# or
yarn install
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  1. Set up environment variables
cp .env.example .env
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Required environment variables:

ASSEMBLYAI_API_KEY=your_api_key
NEXT_PUBLIC_APP_URL=http://localhost:3000
UPLOADTHING_TOKEN=your_uploadthing_token
GOOGLE_GENERATIVE_AI_API_KEY=your_google_generative_ai_api_key
GOOGLE_TRANSLATE_API_KEY=your_google_translate_api_key
BETTER_AUTH_SECRET=your_better_auth_secret
BETTER_AUTH_BASE_URL=http://localhost:3000
DATABASE_URL=your_database_url
  1. Run the development server
npm run dev
# or
yarn dev
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Open…

Submission πŸ“

This submission was made for the AssemblyAI Challenge for "Sophisticated Speech-to-Text" & "No More Monkey Business" Prompts.

Conclusion πŸŽ‰

I had a great time participating in the AssemblyAI Challenge and learned a lot from the experience. I'm looking forward to seeing what other developers come up with! πŸš€

Thank you Dev.To & AssemblyAI for organizing this challenge and providing such a great platform for developers to showcase their skills! πŸŽ‰

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Top comments (3)

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skysingh04 profile image
Akash Singh β€’

Pretty cool implementation! Has a lot of use cases!

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mtwn105 profile image
Amit Wani β€’

Thanks a lot. Glad you liked it

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mann_32d0fca8a37ba89826c5 profile image
Mann β€’

GreatπŸ‘πŸ»

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