This repository demonstrates how to build a comprehensive multimodal AI audio analysis API using Spring AI and Google Gemini 2.0. The application can process audio from multiple sources (file uploads, URLs, Base64, classpath) and provide intelligent insights by combining text prompts with audio analysis. This project showcases the power of multimodal AI that processes both text and audio simultaneously, enabling transcription, sentiment analysis, speaker identification, and content summarization.
📖 Dive Deeper: For a complete walkthrough, detailed explanations of multimodal AI concepts, and step-by-step instructions for building this comprehensive audio analysis service, read our in-depth tutorial.
👉 Spring AI Audio Analysis: A Developer’s Guide to Transcription and Insights
🎥 Visual Learning: Prefer video tutorials? Watch our step-by-step implementation guide on YouTube.
👉 YouTube Tutorial - 🎵 Build Audio Analysis API with SpringAI | Transcribe, Analyze & Summarize Audio Files 🚀
Make sure to provide this Java environment variable when running the application:
GEMINI_API_KEY: Your Google Gemini API key.
This project implements a comprehensive Audio Analysis API to demonstrate the power of multimodal AI with Spring AI. It showcases how to:
- Process audio from 4 different input sources: classpath resources, file uploads, web URLs, and Base64 strings.
- Configure Spring AI to work with Google's Gemini 2.0 Flash through OpenAI-compatible endpoints.
- Build REST API with proper error handling and validation.
- Combine text prompts with audio content for intelligent, context-aware responses.
The application exposes four REST endpoints that accept audio files in different formats along with text prompts, sends them to Gemini for multimodal analysis, and returns AI-generated insights about the audio content including transcription, sentiment analysis, and content summarization.