AssemblyAI's logo. A blue illustration on the left, and the word Assembly A I on the right. The illustration is the letter V inverted. Why? I don't know either. Looks cool though.
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Core TranscriptionConvert audio files, video files, and live speech into text.
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Audio IntelligenceInterpret your audio for business and personal workflows.
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LeMURThe easiest way to build LLM apps on voice data.
Introducing LeMUR
The easiest way to build LLM apps on voice data.
Introducing Conformer-2
Our latest AI model for automatic speech recognition trained on 1.1M hours of audio data that achieves state-of-the-art results for English speech to text conversion.
How ChatGPT actually works
Explore the mechanics behind ChatGPT.
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Telephony Solutions

Unlock rich, accurate data from call recordings

Learn more about how the AssemblyAI API can power innovative features equipped for telephony solutions.

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Telephony services trust AssemblyAI. Join them.

CASE STUDY

WhatConverts use AssemblyAI for their call transcription needs

Call Tracking, Contact Center, and other Cloud Phone Solutions require high accuracy and intelligent features to unlock more from their call recordings.

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We were pleasantly surprised to find that AssemblyAI is the most accurate call transcription software on the market today. The upgrade has already been a huge success.

Jeremy Helms/Co-Founder, WhatConverts

An API that adapts to your needs

Transcribe calls
Transcribe millions of tracked calls with the highest accuracy with our Core Transcription features.
Analyze call data
Organize and categorize unstructured call data using Entity Detection and Speaker Labels.
Redact personal data
Identify and remove Personally Identifiable Information (PII), such as phone numbers and social security numbers.

Get the most out of our platform with our growing library of resources

Comparing Speech-to-Text APIs on Phone Call Transcription

industryCase Study

We look at 5 different earning calls from various companies, and review how accurately AssemblyAI, AWS Transcribe, and Google Speech-to-Text are able to automatically transcribe these recordings.

Joe Zaghloul

Sales

Top Speaker Diarization Libraries and APIs in 2022
industryengineering
Building an Intelligent Cloud-based Contact Center? How ASR, NLP, and NLU Tools Can Help
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