Superwhisper Integrates Cohere AI for Local Transcriptions

The Toronto-based firm adds Cohere's models to its meeting software to improve data privacy.

Updated on Oct. 15, 2026 in Artificial Intelligence

Isometric editorial illustration of a metallic data storage drive housing on a wooden desk, symbolizing local AI data processing. — Superwhisper has integrated Cohere AI models into its transcription software, allowing for local processing to enhance data privacy for enterprise users. AI Illustration. Upload story photo >

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Do you trust local AI processing on your device more than cloud-based storage for sensitive meetings?

Superwhisper has integrated Cohere artificial intelligence models into its meeting recording software, allowing for local processing of transcriptions. This update enables users to generate summaries and action items without needing to store audio data in the cloud.

Why it matters

By keeping audio processing on user devices, the company aims to offer a privacy-focused alternative to traditional cloud-based transcription services. This integration supports the platform's broader strategy to expand its reach among enterprise clients.

The platform utilizes Cohere's Transcribe model for voice-to-text processing and the Tiny Aya model for generating meeting summaries. All data is processed locally on the user's device, bypassing cloud-based storage requirements.

The players

Superwhisper

A Toronto-based software company founded in 2023 that provides meeting recording and transcription services.

Cohere

An artificial intelligence company headquartered in Toronto that specializes in large language models for enterprise applications.

Neil Chudleigh

The founder of Superwhisper who established the company in 2023.

The details

The software is designed to function without joining meetings as a participant, ensuring a seamless user experience. Currently, the integration is available to users at no additional premium charge.

Superwhisper was founded in 2023.
The partnership was announced on October 15, 2026.

The Tech Race

This integration follows the industry trend toward on-device local AI processing by prioritizing user data privacy over cloud-based architecture. It positions the company against larger cloud-dependent transcription services in the race to secure enterprise software contracts.

Users can now generate meeting summaries and transcriptions locally, providing greater control over sensitive meeting data. While currently free, customers should anticipate future changes to the company's enterprise pricing structure.

The takeaway

Privacy-conscious users can benefit from local AI processing that keeps meeting data secure on their own hardware. This model is becoming increasingly common as businesses look for ways to leverage artificial intelligence without sacrificing data security.