Developer Builds Free AI YouTube Summarizer Using Spring Boot 3.4 and Virtual Threads

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A developer created EchoEngine, a Spring Boot 3.4 application that generates AI-powered summaries of YouTube videos without requiring YouTube Data API keys. The tool scrapes publicly available video metadata using YouTube's oEmbed endpoint and HTML regex parsing, eliminating API key rotation and rate-limiting costs. Google's Gemini 2.5 Flash model is integrated via Spring AI to produce concise three-bullet-point technical summaries from the extracted metadata. Java 21 Virtual Threads (Project Loom) are used to handle high concurrency, allowing blocked network calls to release underlying threads rather than causing exhaustion. The developer also documented real-world pitfalls encountered with Google Cloud Platform API quota restrictions tied to corporate-managed GCP project domains.

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