AssemblyAI offers cutting-edge Speech AI technology designed to transform voice data into valuable insights. It provides a simple API that developers can easily integrate to utilize its robust speech-to-text models.

​
Key Features

  • Universal-1 Model: This state-of-the-art model is trained on 12.5 million hours of multilingual audio data, offering superior accuracy and performance in noisy environments.
  • Accuracy: Over 92.5% accuracy, making it highly reliable for critical applications.
  • Latency: Features low latency of under 600ms for streaming, suitable for real-time applications.
  • Languages: Supports transcription in over 99 languages, catering to a global audience.

​
Capabilities

  • Speech-to-Text: Converts spoken language into written text with high accuracy. Ideal for transcribing meetings, calls, and media content.
  • Speaker Diarization: Identifies individual speakers in an audio stream, crucial for call analytics and meeting transcriptions.
  • Sentiment Analysis, Topic Detection, and PII Redaction: Extracts sentiments, detects topics, and redacts personally identifiable information from speech data, enhancing content security and insights.
  • Custom Vocabulary and Spelling: Adapts to specialized terminologies and spellings specific to different use cases or industries.

​
Performance Metrics

  • Word Error Rate (WER): Achieves the industry’s lowest WER, demonstrating minimal errors in transcription compared to competitors.
  • Speed: Processes long audio files with significant speed improvements, offering up to 5x faster processing than conventional models.

​
Use Cases

  1. Customer Service: Automates transcription of customer support calls, providing quick summaries and sentiment analysis.
  2. Content Creation: Assists media professionals by transcribing audio content for podcasts, interviews, and videos.
  3. Compliance and Security: Helps organizations comply with regulations by accurately detecting and redacting sensitive information in spoken communication.