Speech-to-Text
Experience industry-leading speech-to-text accuracy with Speech AI models on the cutting-edge of AI research, accessible through a simple API.
Call Transcript (04.02.2024)
Thank you for calling Acme Corporation, Sarah speaking. How may I assist you today? Hi Sarah, this is John. I’m having trouble with my Acme Widget. It seems to be malfunctioning. I’m sorry to hear that, John. Let’s get that sorted out for you. Could you please provide me with the serial number of your widget? Thank you, John. Now, could you describe the issue you’re experiencing with your widget? Well, it’s not turning on at all, even though I’ve replaced the batteries. Let’s try a few troubleshooting steps. Have you checked if the batteries are inserted correctly? Yes, I’ve double-checked that.
Universal-1
State-of-the-art multilingual speech-to-text model
>92.5%
Accuracy*
30.4s
Latency on 30 min audio file
12.5M
Hours of multilingual training data
Industry’s lowest Word Error Rate (WER)
See how Universal-1 performs against other Automatic Speech Recognition providers.
Read our research0%
4%
8%
12%
AssemblyAI
OpenAI
Azure
Deepgram
AWS
See it in action
Learn more*Benchmark performed across 11 datasets, including 8 academic datasets & 3 internally curated datasets representing real world English audio.
Harness best-in-class accuracy and powerful Speech AI capabilities
Async Speech-to-Text
The AssemblyAI API can transcribe pre-recorded audio and/or video files in seconds, with human-level accuracy. Highly scalable to tens of thousands of files in parallel.
See how in docs
Custom Vocabulary
Boost accuracy for vocabulary that is unique or custom to your specific use case or product.
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Speaker Diarization
Detect the number of speakers in your audio file, with each word in the text associated with its speaker.
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International Language Support
Gain support to transcribe over 99+ languages and counting, including Global English (English and all of its accents).
See how in docs
Auto Punctuation and Casing
Automatically add casing and punctuation of proper nouns to the transcription text.
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Confidence Scores
Get a confidence score for each word in the transcript.
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Word Timings
View word-by-word timestamps across the entire transcript text.
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Filler Words
Optionally include disfluencies in the transcripts of your audio files.
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Profanity Filtering
Detect and replace profanity in the transcription text with ease.
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Automatic Language Detection
Automatically detect if the dominant language of the spoken audio is supported by our API and route it to the appropriate model for transcription.
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Custom Spelling
Specify how you would like certain words to be spelled or formatted in the transcription text.
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See everything in docsExplore more
Streaming Speech-to-Text
Transcribe audio streams synchronously with high accuracy and low latency.
Speech Understanding
Extract maximum value from voice data with Audio Intelligence, and leverage Large Language Models with LeMUR.
Get started in seconds
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7import assemblyai as aai
import json
transcriber = aai.Transcriber()
transcript = transcriber.transcribe(URL, config)
print(json.dumps(transcript, indent=2)){
"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 }
]
}