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AssemblyAI
Transform speech into meaning with industry-leading Speech AI

AssemblyAI
Freemium

Home: https://www.assemblyai.com

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What is AssemblyAI?

AssemblyAI delivers cutting-edge speech recognition technology through a developer-friendly API platform. The service combines industry-leading accuracy rates of up to 95% with sophisticated audio intelligence features including speaker diarization, sentiment analysis, and automated chapter detection.

The platform stands out for its streaming capabilities, comprehensive speech understanding models, and enterprise-grade security features. Through continuous innovation and weekly updates, AssemblyAI ensures its technology remains at the forefront of speech AI advancement while maintaining scalable pricing options for businesses of all sizes.

Features

  • Speech-to-Text Transcription: Up to 95% accuracy with speaker diarization
  • Streaming Capabilities: Real-time captions and low-latency voice recognition
  • Speech Understanding: Advanced LLM capabilities for audio intelligence
  • Custom Vocabulary: Personalized language model adaptation
  • Security: Enterprise-grade data protection and privacy measures
  • Developer Tools: Comprehensive SDKs and documentation
  • Audio Intelligence: Sentiment analysis, content moderation, and chapter detection

Use Cases

  • Real-time captioning services
  • Voice data analytics
  • Content moderation
  • Meeting transcription
  • Customer interaction analysis
  • Video content accessibility
  • Audio content summarization

FAQs

  • How fast does it take for audio and video files to process?
    The platform offers low latency processing with 63 minutes of audio converting in approximately 35 seconds.
  • What languages do you support?
    The platform includes automatic language detection and supports multiple languages for transcription.
  • What security measures are in place?
    AssemblyAI provides enterprise-grade security features, GDPR compliance, PCI-DSS, and SOC 2 Type 1/Type 2 certifications.

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Average Response Time

531.6 ms

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