Help customers analyze call data 42x faster with the industry’s most accurate Speech AI Models
Join leading companies like CallRail and EchoAI who rely on AssemblyAI’s Speech AI models to transcribe voice data, extract insights, create summaries, and more.
Build AI-powered conversation intelligence features with leading Speech AI models
Extract actionable insights from live or recorded voice data —including customer sentiment and agent performance—in seconds.
Build on top of state-of-the-art Speech AI models to stay competitive and improve your offering.
Find topical information from your call data with a quick search in your transcript.
Trained on 1.1M hours of data
40%
fewer errors than other providers
42x
faster than speech-to-text APIs from Google/Azure/AWS
5,000+
companies choose AssemblyAI
25M
inference calls per day
2B+
end user experiences
Turn customer conversations
into intelligent insights
Accurately transcribe calls
Easily transcribe millions of tracked calls with impressive accuracy, using our industry-leading Speech-to-Text AI models.
Remove personal data
Identify and remove Personally Identifiable Information (PII), such as phone numbers and social security numbers.
Analyze call data
Organize and categorize unstructured call data using Entity Detection and Speaker Labels.
Summarize conversations
Speed up post-call quality assurance review, identify key takeaways from phone calls, and remove the need for manual summarization.
Lead intelligence
Extract key mentions from phone calls to determine likelihood to purchase and lead scoring elements.
Sales & support coaching
Build playbooks for customer-facing teams by asking questions about phone conversations.
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7import assemblyai as aai
import json
transcriber = aai.Transcriber()
transcript = transcriber.transcribe(URL, config)
print(json.dumps(transcript, indent=2))