Grok Voice Transcribe 2.0 is an AI Audio Generators tool. AI speech-to-text model that transcribes audio files and live streams in 25+ languages. Key features include Batch and Streaming Transcription, Speaker Diarization, and Multilingual Support. Best for content creators, software developers and engineers and customer service representatives.
About Grok Voice Transcribe 2.0
Key Features
<strong>Batch and Streaming Transcription.</strong> Upload audio files up to 500 MB or transcribe live audio streams in real time through a WebSocket connection. Both modes support multiple audio formats including MP3, WAV, and WebM.
<strong>Speaker Diarization.</strong> Automatically identifies and labels different speakers in multi-person conversations at no extra cost. Returns word-level timestamps with confidence scores for each speaker segment.
<strong>Multilingual Support.</strong> Transcribes audio in 25+ languages with automatic language detection. Follows mid-recording language switches in a single pass without manual configuration.
<strong>Real-World Audio Optimization.</strong> Trained on noisy, live audio from diverse environments including phone calls, background noise, and overlapping speech. Handles poor phone connections, regional accents, and compression artifacts.
<strong>Advanced Text Formatting.</strong> Includes inverse text normalization that converts spoken language into structured output for numbers, dates, currencies, phone numbers, and email addresses automatically.
<strong>Key-Term Biasing.</strong> Accepts up to 100 domain-specific terms per request to improve accuracy for specialized vocabulary, technical jargon, or industry-specific language in your audio content.
Frequently Asked Questions
Batch transcription costs $0.10 per hour of audio, while real-time streaming costs $0.20 per hour. Speaker diarization, word-level timestamps, and key-term biasing are all included in the base price with no additional fees.
It ranks first for accuracy among 32 streaming models on the Artificial Analysis leaderboard and is twice as accurate as version 1.0. The model was specifically trained on challenging real-world audio like noisy phone calls, overlapping speech, and poor connections rather than just clean studio recordings.
Yes. The model automatically detects the language being spoken and can follow mid-recording language switches in a single pass. It supports transcription in over 25 languages without requiring manual language selection.
Atlassian uses it to transcribe every video on Loom after finding it more accurate than their previous solution. The underlying Grok Voice technology also powers tens of thousands of customer support calls daily and runs the Grok assistant in Tesla vehicles.
