Quickly build AI
products with voice data
Leverage our AI models that continuously push the state-of-the-art in Automatic Speech Recognition (ASR), Speaker Diarization, Speaker PII Redaction, Speech Summarization, and more. Transcribe speech to text and accurately analyze meetings, phone calls, podcasts, live audio streams, and other voice data.
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import assemblyai as aai
import json
transcriber = aai.Transcriber()
transcript = transcriber.transcribe(URL, config)
print(json.dumps(transcript, indent=2))
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{
"id": "6rlr37h8f4-e310-4e23-bbf3-ea5f347dc684",
"language_code": "en_us",
"status": "completed",
"text": "Runner's knee is a condition characterized by pain behind or around the kneecap...",
"confidence": 0.98122,
"audio_duration": 3200,
"words": [
{ "text": "Runner's", "start": 0, "end": 550, "speaker": "A", "confidence": 0.98113 },
{ "text": "knee", "start": 580, "end": 1130, "speaker": "A", "confidence": 0.95417 }
]
}
Leading companies choose AssemblyAI to build innovative new AI products with voice data
“With AssemblyAI, we not only get quality call summaries and sentiment analysis, but also a trusted partner that supports us in enhancing the value we deliver to our customers.”
Loop Media Partners With AssemblyAI To Launch Its AI-Powered Brand Safety Solution
Launch cutting-edge products with fully featured Speech AI models
Easy to integrate
Developers get immediate access to our API, and our documentation is crafted with detailed code examples and explanations, making it easy to quickly integrate Speech AI into their applications.
Pricing that scales
Choose the AI models for your use case and only pay for what you use. We work with you to ensure pricing scales as you grow.
Always up-to-date
Stay on top of the latest AI breakthroughs. Our Speech AI team of researchers and engineers is constantly improving and updating our AI models so you always have access to state-of-the-art AI technology.
24/7 customer support
Leverage our team of AI experts who can help build with you and accelerate your product roadmap.
Get started in seconds
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import assemblyai as aai
transcriber = aai.Transcriber()
transcript = transcriber.transcribe(URL, config)
print(transcript.text)