Assemblyai

AssemblyAI | AI Transcription and Speech Understanding Models

Introduction

Discover AssemblyAI's industry-leading Speech AI models for accurate speech-to-text transcription and extracting insights from voice data.


Added On:

Apr 28, 2024

Monthly Visitors:

SimilarWeb Icon
696.3K

Affiliate Program:

No

AssemblyAI | AI Transcription and Speech Understanding Models

Assemblyai's Overview

AssemblyAI offers AI models for accurate speech-to-text transcription, speaker detection, sentiment analysis, chapter detection, PII redaction, and more. Their most powerful model, Universal-1, is trained on 12.5M hours of multilingual audio data. AssemblyAI is chosen by leading companies to build innovative AI products with voice data. Their Speech AI models are easy to integrate with detailed code examples and explanations in their documentation. Pricing is flexible, allowing users to choose the AI models for their specific use case and only pay for what they use. AssemblyAI's Speech AI team constantly improves and updates their models to provide access to state-of-the-art technology. They also offer 24/7 customer support through their team of AI experts. Get started with AssemblyAI by visiting their website.


Assemblyai's Features

  • Accurate speech-to-text transcription

  • Speaker detection

  • Sentiment analysis

  • Chapter detection

  • PII redaction


Assemblyai's Q&A


Assemblyai's Pricing

AssemblyAI offers flexible pricing based on usage. Users can choose the AI models for their specific use case and only pay for what they use.

Assemblyai's Analytics

Website Overview

Key performance metrics for assemblyai.com

Bounce Rate

47.26%

Pages / Visit

3.25

Total Visits

696,290

Time on Site

4m 10s

Global Rank

#81,751

Country Rank

#8,108

Top Regions

Distribution of traffic by country

  • 1.
    Brazil49.80%
  • 2.
    Italy11.31%
  • 3.
    United States6.16%
  • 4.
    India3.82%

Total Visitors

Monthly visitor statistics for the last 3 months

Trending down by 8.9% this month
April - June 2024

Traffic Sources

Distribution of traffic sources

Social:
4.4%
Paid Referrals:
0.0%
Mail:
0.9%
Referrals:
1.5%
Search:
25.7%
Direct:
67.4%
Dominant source: Direct
67.4% of total traffic

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