Inworld Realtime STT

Otter is where conversations live. Generate rich notes for meetings, interviews, lectures, and other important voice conversations with Otter, your AI-powered assistant. Organizations who have the Otter advantage. Teams big and small trust Otter to transcribe their important conversations. Our shiny new release, Otter 2.0, adds more functionality to improve collaboration and productivity. The Teams plan includes capabilities designed especially for small and medium businesses and teams in larger enterprises. Record and review in real time. Search, play, edit, organize, and share your conversations from any device. Record conversations using Otter on your phone or web browser. Import or sync recordings from other services. Integrate with Zoom. Get real-time streaming transcripts and, within minutes, rich, searchable notes with text, audio, images, speaker ID, and key phrases. Share or export voice notes to inform others and get on the same page.

Muse Voice Transcribe is Meta’s first real-time audio perception model, delivering streaming automatic speech recognition (ASR), diarization, and endpointing in real time. An autoregressive multimodal model from the Muse Spark family, it processes audio in 80 ms chunks and decides dynamically whether to continue listening or emit text. Its adaptive delay changes the amount of audio context used for each word based on difficulty, balancing transcription accuracy with latency. The model is trained on more than 70 languages, with 25 extensively verified at launch, and natively supports arbitrary code-switching both within and between sentences. Language, keyword, and context biasing can further improve recognition accuracy for specific names, places, contacts, or terminology. Streaming diarization identifies speaker changes and distinguishes more than 20 speakers, while endpointing detects when speech begins and when a user finishes speaking.