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Magic launch

Data to insights like
magic

Data to insights like magic

Dovetail transforms feedback into insights, so you can focus on building what’s next. Now it’s easier than ever with dozens of new magic features.

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Magic summarize

Accurate, instant, timestamped summaries of video calls

New
Magic transcribe

Updated with improved speaker recognition and accuracy

Improved
Magic reels

Customer calls shortened to the best moments and highlights

New
Magic highlight

Automatic suggestions for key moments in video calls

New
Magic redact

Text, audio, and video redaction to remove private information

New
Magic search

Search by topic, ask questions, and get summarized answers

New
Channels

Track themes in reviews, support tickets, feedback, and more

New
Magic cluster

One-click thematic classification of highlights on a canvas

Improved

Less grunt work more
insights

Less grunt work more insights

Bring your customer data into Dovetail and we’ll transform it into something ready to explore. Customer interviews, usability tests, sales calls, you name it.

Magic summarize

New

Fast summaries of customer calls—now with timestamps

Magic transcribe

Accurate transcription in over 28 languages—with speaker detection.

Magic reels

New

Customer calls shortened to the best moments

Dovetail’s magic features have opened up a whole new world of possibilities for us

Company logo

Heather Ashley

User Research Coordinator

Magic highlight

New

Let Dovetail find key moments, while staying in control.

Magic cluster

AI-powered thematic classification on canvas.

Magic redact

Protect data privacy by blurring video, audio, and text.

Magic search helps us uncover deeper insights from our hub

Company logo

Karolina Kowalczyk

Sr. User Experience Researcher

Not quite magic (but still important)

All customer data is securely stored and processed in-house, enabling you to benefit from automation without worrying your data is used to train third party models.

We don’t use customer data to train models—we run our own pre-trained models

We select a model for the task at hand—whether that’s summarizing or classifying

All models run in our own infrastructure, so no data ends up elsewhere

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