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xAI opens Grok STT and TTS audio APIs, with overall word error rate of STT reduced to 6.9%

MeNews
ME News Report, April 18 (UTC+8), according to Beating Monitoring, xAI has launched two independent audio APIs: Grok Speech to Text and Grok Text to Speech. Both come from the same audio stack supporting Grok Voice, Tesla's in-car system, and Starlink customer service, now available as standalone endpoints, allowing developers to directly integrate into voice agents, real-time transcription, accessibility tools, and podcasts. STT offers two modes. The REST API is used for batch transcription of large audio files with millisecond-level response; the WebSocket API is designed for real-time audio streams. Features include word-level timestamps, speaker diarization, multi-channel recognition, and Inverse Text Normalization, which automatically formats spoken numbers, dates, and currencies into standardized structured text. Supported languages exceed 25, with seamless switching during conversations. xAI also released a comparison of word error rates (WER, lower is better): overall Grok 6.9%, ElevenLabs 9.0%, Deepgram 11.0%, AssemblyAI 12.9%; the gap in "telephone call entity recognition" is even larger, with Grok at 5.0%, compared to the other three at 12.0%, 13.5%, and 21.3%. In common business scenarios such as meetings, video podcasts, and phone calls, Grok also maintains a slight lead. These figures are self-tested and published by xAI, with no third-party verification yet. In terms of pricing, STT batch processing is $0.10 per hour, streaming is $0.20 per hour; TTS costs $4.20 per million characters. TTS supports inline Speech Tags to control emotion and prosody, such as [laugh], [sigh], [whisper], (Source: BlockBeats).
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Post-RainTvl
· 1h ago
Elon Musk is playing a big game; the infrastructure development of xAI is progressing faster than expected.
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TacoTreasury
· 5h ago
The Grok Voice layout is quite deep; both in-car and satellite customer service use the same setup, and the stability should be solid.
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GateUser-7cb48814
· 6h ago
WebSocket real-time transcription, directly usable for live captioning scenarios
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TheProphetOfToast
· 6h ago
Tesla's onboard system is the same source, and the vehicle voice interaction ecosystem may need to be integrated.
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GateUser-e4fb1fbe
· 6h ago
The same audio stack supports so many scenarios; engineering reuse is done beautifully.
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