🎙️ Audio‑Transcribe

Audio‑Transcribe is a Spring Boot + Spring AI service that delivers high-quality audio transcription via OpenAI’s Whisper or any compatible Speech‑to‑Text provider. Perfect for converting audio files into accurate text through a clean, easy-to-use REST API.

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🚀 Features

• 📥 REST Upload Endpoint – POST audio (WAV, MP3, etc.) and receive a transcription JSON payload.
• 🔗 Provider Agnostic – Out-of-the-box support for OpenAi via Spring AI's abstraction.
• 🟢 UI- It is possible to add audio using ui in web

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💡 Why This Matters

Transcription forms the basis of many AI-powered applications: meeting summarization, voice-enabled search, podcast metadata extraction, and more. With Audio‑Transcribe, you get a robust, reusable foundation for infusing voice into any Spring Boot app—powered by Spring AI and Whisper 📢.

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⚙️ Quick Start

Prerequisites

• Java 17+
• Maven 3.8+
• Spring Boot
• API key for provider (e.g., OpenAI Whisper, Azure Speech)

Setup

1. Clone the repo

   git clone https://github.com/IamKarimovich/audio-transcribe.git
   cd audio-transcribe

2. Add the OpenAI Whisper starter to pom.xml

<dependency>
<groupId>org.springframework.ai</groupId>
<artifactId>spring-ai-starter-model-openai</artifactId>
<version>1.0.0-M7</version>
</dependency>

3. Configure your API key (e.g.,application.properties in or environment):

spring.ai.models.openai.api-key=${OPENAI_API_KEY}

🎤 How to Use

POST via REST

POST /api/v1/transcribe
Content-Type: multipart/form-data

Form Data:
file = @your-audio-file.wav

🙌 Credits

Inspired by Spring AI demo that links browser audio capture to Whisper via Spring MVC

Audio‑Transcribe turns spoken words into actionable text — seamlessly integrated, provider-agnostic, and built for the Spring Boot world. Enjoy building!