The fastest, most accurate transcription
Get transcription and diarization with the lowest latency, highest accuracy, and highest cost-efficiency on the market.
With the launch of Brain MAX we've discovered how addictive speech-to-text is - we use it every day and want it everywhere. But it's difficult to get reliable, performant, and scalable inference. Baseten helped us unlock sub-300ms transcription with no unpredictable latency spikes. It's been a game-changer for us and our users.
With the launch of Brain MAX we've discovered how addictive speech-to-text is - we use it every day and want it everywhere. But it's difficult to get reliable, performant, and scalable inference. Baseten helped us unlock sub-300ms transcription with no unpredictable latency spikes. It's been a game-changer for us and our users.
Mahendan Karunakaran,
Head of Mobile Engineering
With the launch of Brain MAX we've discovered how addictive speech-to-text is - we use it every day and want it everywhere. But it's difficult to get reliable, performant, and scalable inference. Baseten helped us unlock sub-300ms transcription with no unpredictable latency spikes. It's been a game-changer for us and our users.
With the launch of Brain MAX we've discovered how addictive speech-to-text is - we use it every day and want it everywhere. But it's difficult to get reliable, performant, and scalable inference. Baseten helped us unlock sub-300ms transcription with no unpredictable latency spikes. It's been a game-changer for us and our users.
Speed, accuracy, and cost-efficiency: choose all three.
The fastest Whisper transcription, optimized from the ground up to also be more accurate and cheaper than any other solution on the market.
Get the lowest latency
Set the bar for transcription speed with over 2400x RTF with Whisper V3 Turbo, and 1800x RTF for Whisper Large V3 on H100 MIGs.
Prioritize quality
Minimize hallucinations and missing chunks. Our solution achieves the lowest error rate for both transcription and diarization.
Cut costs
Achieve 78-98% lower transcription costs than competitive solutions, powered by clever engineering alone.
Transcription built for production: streaming + diarization included.
Live transcription
Our transcription and diarization both support streaming for real-time voice AI use cases, like AI note-taking and live conferencing.
Accurate speaker tags
Get accurate, speaker-annotated transcripts with the lowest error rates on the market, tested on third-party, open-source data.
Secure and compliant
We’re HIPAA compliant, SOC 2 Type II certified, and offer region-locked, single-tenant, and self-hosted deployments for extra security.
We make diarization look easy.
Optimized from the ground up using SOTA diarization algorithms, along with a custom speaker assignment algorithm to accurately map tags to transcripts.
Accurate
Deliver speaker tags with the highest accuracy on the market (with or without streaming), validated on third-party datasets.
Cost-efficient
Reduce diarization costs by 50-90% compared to competitors while achieving higher throughput with the same number of GPUs.
Real-time
Maintain consistent speaker tags in live workflows, validated on long-running sessions and under heavy load.
Built on the best of open-source. Optimized for production.
Our transcription pipeline is customized on top of OpenAI’s Whisper. Deploy the optimized models from our model library, or talk to our engineers about adding streaming or diarization.
Whisper Large V3
Our most performant Whisper Large V3 implementation, achieving 1800x real-time factor (1 hour of audio transcribed in 2 seconds).
Whisper Large V3 Turbo
Our most performant Whisper Large V3 Turbo implementation, achieving 2400x real-time factor (1 hour of audio transcribed in 1.5 seconds).
Whisper Large V2
Whisper Large V2, optimized to achieve ~1800x real-time factor (1 hour of audio transcribed in 2 seconds).
Learn more
With Baseten, we gained a lot of control over our entire inference pipeline and worked with Baseten's team to optimize each step.
With Baseten, we gained a lot of control over our entire inference pipeline and worked with Baseten's team to optimize each step.
Sahaj Garg,
Co-Founder and CTO
With Baseten, we gained a lot of control over our entire inference pipeline and worked with Baseten's team to optimize each step.
With Baseten, we gained a lot of control over our entire inference pipeline and worked with Baseten's team to optimize each step.
