What we appreciate most about SuperWhisper is how seamlessly it fits into our AI-first way of working. As a company, we are deliberately shifting away from typing toward speaking as our primary way of interacting with our tools — and SuperWhisper has become the central piece that makes this shift actually work in everyday operations. The biggest upside for us is the speed and quality of voice input across our entire stack. We work heavily with Claude and Claude Code, often through the CLI, and dictating prompts via SuperWhisper is a game changer: we can convey far more context in a fraction of the time it would take to type, which directly translates into better AI outputs. The same applies to Notion (including its AI features), Microsoft Teams messages, Outlook emails, and basically any text field on the Mac — one shortcut, speak, done. A second area where SuperWhisper genuinely shines is transcription. We regularly use it to transcribe webinar recordings that are only available as video, our own webinar captures, and even classic dictaphone recordings from meetings. For daily voice input we rely company-wide on the Ultra model (cloud), and for transcriptions with speaker recognition we use Nova 3 — both deliver consistently strong recognition quality for German, which was a key requirement for us. As a German company, data protection is a particularly important topic for us: as long as GDPR-compliant operation of the cloud models is ensured via DPA and Standard Contractual Clauses (SCC) between the EU/Germany and the US, we deliberately use the cloud variants because they put significantly less load on our RAM and noticeably improve everyday efficiency (for example, running them in parallel with Teams screen sharing). At the same time, it is highly valuable for us to have a fully on-device fallback available at any time with the local Parakeet models — in Germany, data protection has to be considered more rigorously than in many other countries, and exactly this optionality gives us peace of mind. What ultimately convinced us to choose SuperWhisper over alternatives was the combination of excellent multilingual recognition, system-wide availability, the freedom to choose between cloud and local models, and the roadmap toward team dictionaries — something we are very much looking forward to in order to standardize domain-specific vocabulary across our team. The Enterprise licensing also made onboarding our colleagues very straightforward. In short: SuperWhisper has replaced the keyboard as our default input method and has noticeably increased both the efficiency and the quality of how we communicate with our AI tools.