Grok STT
A developer-focused speech-to-text model/API for multilingual audio transcription, subtitles, and meeting notes with speaker diarization and word-level timestamps.
Tool overview
The safest current judgment is that Grok STT is a developer-facing speech-to-text model/API, not a consumer meeting-notes app and not a full contact-center platform. The strongest evidence comes from official xAI/OpenRouter posts: 25 languages, multi-speaker transcription, speaker diarization, word-level timestamps, and availability through OpenRouter.
Its practical use case is straightforward: turning interviews, podcasts, meetings, and support recordings into structured text that can feed subtitles, search, summarization, or QA workflows. A better comparison is an embeddable STT API rather than an end-user product like Otter. The evidence supports the existence of these core features, but social posts alone do not prove consistently superior accuracy across accents, noisy audio, or specific languages.
On cost and adoption friction, the available pricing signal is from official/social platform messaging: $0.10 per audio hour. That should be treated as an official announcement or platform listing signal, not a guaranteed long-term price across all channels or a promise of total deployment cost.