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Wavescan

Make decisions at the speed of sound

Usage Based
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Description

Wavescan provides a platform for capturing, transcribing, and analyzing audio content in real-time. It allows users to connect various audio sources, including phone calls, webcasts, Zoom meetings, or direct audio feeds, receiving live transcripts, speaker identification, and sentiment analysis instantly. The service facilitates rapid decision-making through immediate search and discovery within audio data and DVR-style playback of live or past recordings.

Integration is streamlined with pre-built widgets for quick deployment or a comprehensive API for building custom native experiences. Wavescan offers machine-generated transcripts with an option to upgrade to human editing or self-edit using a free tool. Users can set up automatic monitoring for specific keywords and phrases, receiving real-time alerts. The platform also enables the comparison of trending themes and recurring topics across multiple conversations, providing valuable insights from audio data.

Key Features

  • Real-time Transcription: Get live transcripts from various audio sources.
  • Keyword Monitoring: Automatically track and get alerts for specific words or phrases.
  • Sentiment Analysis: Analyze textual and tonal sentiment within conversations.
  • DVR Playback: Pause, rewind, and re-watch audio recordings as they happen or later.
  • API Integration: Build custom audio processing workflows and native experiences.
  • No-Code Widgets: Easily embed transcription and monitoring features into platforms.
  • Speaker Identification: Distinguish between different speakers in the audio (when possible).
  • Human Editing Option: Upgrade machine transcripts to human-edited versions for higher accuracy.

Use Cases

  • Monitoring customer support calls for quality assurance.
  • Analyzing sales calls for insights and coaching.
  • Tracking mentions in webcasts or earnings calls.
  • Transcribing and searching meetings for key information.
  • Conducting market research through audio analysis.

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