Granola, known for its AI-powered meeting notetaker, has introduced a new dictation feature, enabling users to convert speech to text across apps on Mac, directly competing with Wispr's recent foray into meeting note automation.
- Granola adds dictation to its AI meeting notes app.
- Features work system-wide on Mac, with iOS and Windows versions pending.
- Voice AI startups converge on multifunctional speech tools.
What happened
Granola, a prominent AI meeting notetaking application, has launched a new dictation feature that enables users to speak naturally and have their words transcribed, cleaned, and formatted in real-time across any app on Mac. This functionality is activated by pressing the Function key and supports unlimited words free of charge. The company announced plans to extend this capability to iOS and Windows platforms soon.
This development comes months after Wispr, a dictation-focused application, incorporated meeting notetaking features, reversing the feature sets between these two major players. Their respective valuations stand at $1.5 billion for Granola and $2 billion for Wispr, highlighting their substantial market presence in the voice AI domain.
Why it matters
The addition of dictation to Granola’s meeting notetaker app represents a strategic expansion aimed at capturing a broader slice of user speech interactions. By supporting dictation across all apps, Granola enhances user productivity beyond meetings, including writing emails, notes, and messages, which increases the stickiness of its service.
This feature overlap signals a broader convergence trend among voice AI startups such as Fireflies, Speechify, and Monologue, which are all evolving towards multifunctional voice platforms. The shift suggests the market is moving away from single-focus apps to integrated speech solutions that maximize user engagement and capture more voice data.
What to watch next
Attention will focus on how quickly Granola rolls out its new dictation feature on iOS and Windows, and how Wispr responds by enhancing its meeting note capabilities or improving its research into adaptive human-computer interfaces. The battle for dominance in integrated voice AI productivity tools is likely to intensify as both companies refine their models and user experiences.
Additionally, monitoring how other players in the voice startup ecosystem adapt or innovate in response to these shifts will be crucial. Their ability to differentiate through specialized features or superior speech models may shape the competitive landscape and influence which platforms gain widespread enterprise and consumer adoption.