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AssemblyAI

Speech AI Models

Transcribe and understand audio with the world’s best Speech AI models. An API-first platform for Speech-to-Text and Audio Intelligence.

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About AssemblyAI

AssemblyAI builds state-of-the-art AI models for speech recognition and audio analysis. Developers use their simple API to build applications that can transcribe meetings, analyze sales calls for sentiment, and summarize podcasts with superhuman accuracy.

How to Use

  1. 1. Get a free API Key from the dashboard
  2. 2. Install the SDK (`pip install assemblyai`)
  3. 3. Submit an audio file URL or upload a file
  4. 4. Enable features (Speaker labels, Auto-chapters)
  5. 5. Receive JSON transcript and insights

Key Features

⚡ Universal-1 Model
🧠 LeMUR (LLM)
👥 Speaker ID

Related Tools

D

Deepgram

Fast Speech API

W

OpenAI Whisper

Open Source ASR

Additional Information

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Use Cases

AssemblyAI is widely used for automated meeting notes (integrating with Zoom/Teams), telephone analytics for call centers, video captioning/subtitling, and content moderation.

LeMUR Framework

LeMUR (Leveraging Large Language Models to Understand Recognized Speech) is a framework that allows you to apply LLMs directly to your audio data to ask questions, summarize, or extract action items programmatically.

Audio Intelligence

Beyond text, the API offers “Audio Intelligence” features such as Sentiment Analysis, Entity Detection (PII redaction), Auto-Chapters, and Topic Detection.

Security & Compliance

AssemblyAI is SOC 2 Type II compliant and GDPR compliant. They offer strict privacy controls where data is not stored or used for model training if requested by enterprise clients.

Streaming (Real-Time)

In addition to asynchronous file upload, AssemblyAI offers a Real-Time WebSocket API for transcribing live audio streams with low latency, ideal for live captioning or voice bots.