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Whipnote review

#28 of 31 in Speech Analytics Software

Transcription and acoustic dashboards for teams analyzing customer conversations.

6.4/10Editor score
Whipnote6.4 Visit Whipnote

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

Whipnote combines speech-to-text transcription, speaker separation, emotion detection, and dashboards to help teams review customer conversations. It is aimed at teams examining conversation quality, customer experience, and compliance-related issues through acoustic and transcript signals. Access is offered through web and API, with cloud deployment. Its feature mix suits teams that want both conversation-level review and metrics such as pitch, volume, and talk-versus-listen patterns.

Analysis extends beyond transcripts: Whipnote lists automatic keyword extraction, word-level confidence scores, and emotion detection, alongside pitch and volume metrics. Customizable interactive dashboards bring these signals together, and the dashboards can be embedded with white-label presentation. The API can transcribe remote and local audio files and supports callbacks. That combination makes it a fit for teams that want to incorporate transcript and acoustic outputs into their own review surfaces; it is less suited to buyers seeking a broad quality-assurance or compliance workflow rather than conversation analytics.

Whipnote is a paid product with no free plan. Its site lists a rate of 1 cent per minute, but does not provide a separate official pricing page or clear billing terms, so buyers should verify the current offer before planning costs. Email and phone are listed support channels. The homepage also displays legacy-style content and an account-paused banner, which makes checking current availability especially important before depending on the service. Choose Whipnote if transcription, speaker separation, and acoustic dashboards are the core needs; consider alternatives if current product activity or a more established broader workflow is essential.

Whipnote pros and cons

  • Where it wins
    • Combines transcription with automatic speaker separation and emotion detection
    • Surfaces word-level confidence, keywords, pitch, volume, and talk-versus-listen metrics
    • Offers customizable, embeddable dashboards and API access
  • Where it doesn't
    • Focused on conversation analysis rather than broader QA workflows
    • Cloud deployment only
    • Legacy-style site and account-paused banner raise questions about continued activity

Whipnote fact sheet, pricing and score →

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