
AssemblyAI
Speech-to-text API for builders.
About AssemblyAI
AssemblyAI is a speech-to-text API built for developers who need to integrate audio transcription and speech intelligence into their applications. The platform converts spoken audio into accurate text and goes beyond basic transcription by offering a range of additional capabilities, including speaker diarization, sentiment analysis, content moderation, chapter detection, and entity recognition. These features allow developers to extract structured meaning from audio rather than just producing a raw transcript. The primary use cases include building transcription pipelines for recorded meetings, podcasts, call center recordings, and video content. Developers can also use AssemblyAI to power real-time transcription for live audio streams, making it suitable for applications that require low-latency speech processing. The API supports a broad range of audio formats and can handle files uploaded directly or referenced via URL. More recently, AssemblyAI has added LeMUR, a feature that lets developers apply large language model capabilities on top of transcribed audio, enabling tasks like summarization, question answering, and custom prompting against spoken content without having to manage separate AI infrastructure. AssemblyAI is aimed squarely at software engineers, product teams, and startups building voice-enabled or audio-processing products. It is not a consumer-facing transcription tool and does not offer a standalone desktop or web application for end users. Pricing operates on a pay-as-you-go model based on the number of audio hours processed, with different rates depending on which features are enabled. A free tier with limited credits is available for developers who want to test the API before committing to paid usage. The documentation is thorough, with SDKs available for several popular programming languages including Python, JavaScript, and others, which lowers the barrier to integration for teams across different technical stacks.
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