How to use AssemblyAI with Java

AssemblyAI provides a detailed guide on integrating its Speech AI models with Java, highlighting how to transcribe audio files, perform real-time transcription, and employ language models using the LLM Gateway. The document explains how to use Java's built-in HttpClient to send requests for audio transcription and polling results until completion, offering code snippets for both URL-based and local file transcriptions. Additionally, it covers using WebSockets for real-time transcription and demonstrates how to leverage large language models (LLMs) to analyze and summarize transcribed audio data. The guide also introduces Speech Understanding models for sentiment analysis, showing how to enable these features and interpret their results, thereby providing developers with comprehensive tools to enhance audio data processing and analytics within Java applications.

Use this post, company, and trend context to find content marketing opportunities, perform competitive analysis, or address product feature gaps via the Plushcap MCP server or the Plushcap API.