AssemblyAI

Speech-to-text and audio intelligence APIs for building voice-powered applications.

4.5 (4)

审阅者 Daniel Nikulshyn·更新 2026年5月

概览

AssemblyAI provides developers with a unified API for transcribing and analyzing audio and video content. Its models handle speech-to-text, speaker diarization, sentiment analysis, content moderation, topic detection, and summarization across dozens of languages. The platform targets teams building products that depend on understanding spoken content, including meeting tools, contact centers, media platforms, and accessibility services. Both real-time streaming and asynchronous batch transcription are supported, with options for LLM-powered queries over transcribed audio.

主要功能

Speech-to-text in multiple languages
Speaker diarization and labeling
Sentiment, topic, and entity detection
Real-time streaming transcription
LeMUR LLM framework for audio Q&A
Automatic summarization and content safety

优点 & 缺点

优点

High accuracy on conversational audio
Single API covers transcription and audio intelligence
Real-time streaming and batch processing
Clear developer documentation and SDKs

缺点

Per-minute pricing can scale up quickly at high volumes
Some advanced features limited to English
Requires technical integration, no end-user app

评测

4.5

4 个评分的平均值。

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Hiroshi Tanaka

Solid for our team

We rolled this out across the team last quarter and clear developer documentation and SDKs. Speaker diarization and labeling fits neatly into how we already work, and leMUR LLM framework for audio Q&A removed a step we used to do by hand. but it has held up under daily use.

Camille Laurent

Years in this space

I've evaluated a lot of these over the years. What stands out here is leMUR LLM framework for audio Q&A — handled better than most — and high accuracy on conversational audio. Per-minute pricing can scale up quickly at high volumes is my one real gripe. Worth the time if this is your use case.

Daniel Schmidt

Use it every day

Honestly didn't expect to like it this much. Real-time streaming transcription is exactly what I needed, and clear developer documentation and SDKs. I do wish per-minute pricing can scale up quickly at high volumes, but I reach for it almost every day now and it just clicks.

Beatriz Costa

Years in this space

I've evaluated a lot of these over the years. What stands out here is speech-to-text in multiple languages — handled better than most — and single API covers transcription and audio intelligence. Requires technical integration, no end-user app is my one real gripe. Worth the time if this is your use case.

问答

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