Sold by: DeepgramÂ
Deployed on AWS
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Deepgram is the enterprise Voice AI platform for building and scaling real time voice applications on AWS. This model transcribes Spanish.
Our APIs for Nova or Flux Speech to Text (STT) and Aura Text to Speech (TTS) are natively available in the new SageMaker BiDirectional Streaming API. Additional native touchpoints with Amazon Bedrock, Lex, and Amazon Connect make it simple to compose full voice experiences with the cloud services your teams already trust.
Overview
Deepgram powers end to end voice solutions on AWS, from real time transcription to lifelike speech synthesis and interruptible, human like voice agents. Deploy our STT/TTS and agent runtime where you need them: In SageMaker, in a Deepgram managed Dedicated environment or self hosted inside your AWS VPC for maximum control and compliance, with native touchpoints to Amazon Bedrock and Amazon Connect to compose complete voice workflows.
Procure through AWS Marketplace to accelerate onboarding with usage based pricing and consolidated billing on your AWS invoice, ideal for trials, POCs, and scaling to production while aligning to AWS commitments.
Deepgrams AWS alignment includes the AWS Generative AI Competency and a multi year strategic collaboration, giving teams confidence that integrations, cosell, and global scale on AWS are first class.
Use cases include: real time contact center transcription and automation with Amazon Connect + Lex, Bedrock powered voice agents with Deepgram STT/TTS, and streaming/batch analytics via S3, API Gateway, Lambda, and EKS/EC2, all built on the AWS patterns your teams already trust.
Highlights
- Real time STT for human like conversations: Sub 300 ms streaming latency with industry leading accuracy (Nova 3: 6.84% median WER streaming; 5.26% batch) to keep pace with fast, noisy speech.
- Natural, low latency TTS: Sub 250 ms responses with lifelike speech and streaming delivery for natural turn taking in real time.
- Production ready voice agents on AWS: Combine Deepgram STT/TTS with Amazon Bedrock for reasoning and Amazon Connect and Lex for contact center workflows supporting interruptible, human like dialogs at scale alongside real time STT voice agents and real time STT for transcription.
Details
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Delivery method
Latest version
Deployed on AWS
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Features and programs
Financing for AWS Marketplace purchases
AWS Marketplace now accepts line of credit payments through the PNC Vendor Finance program. This program is available to select AWS customers in the US, excluding NV, NC, ND, TN, & VT.
Pricing
Free trial
Try this product free for 14 days according to the free trial terms set by the vendor.
Pricing is based on actual usage, with charges varying according to how much you consume. Subscriptions have no end date and may be canceled any time.
Additional AWS infrastructure costs may apply. Use the AWS Pricing Calculator to estimate your infrastructure costs.
Dimension | Description | Cost/host/hour |
|---|---|---|
ml.m5.xlarge Inference (Batch) Recommended | Model inference on the ml.m5.xlarge instance type, batch mode | $3.90 |
ml.g6.2xlarge Inference (Real-Time) Recommended | Model inference on the ml.g6.2xlarge instance type, real-time mode | $16.90 |
ml.g6e.2xlarge Inference (Real-Time) | Model inference on the ml.g6e.2xlarge instance type, real-time mode | $32.50 |
ml.g5.2xlarge Inference (Real-Time) | Model inference on the ml.g5.2xlarge instance type, real-time mode | $14.95 |
ml.g4dn.2xlarge Inference (Real-Time) | Model inference on the ml.g4dn.2xlarge instance type, real-time mode | $3.90 |
Vendor refund policy
No refunds.
Legal
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Upon subscribing to this product, you must acknowledge and agree to the terms and conditions outlined in the vendor's End User License Agreement (EULA)Â .
Content disclaimer
Vendors are responsible for their product descriptions and other product content. AWS does not warrant that vendors' product descriptions or other product content are accurate, complete, reliable, current, or error-free.
Delivery details
Amazon SageMaker model
An Amazon SageMaker model package is a pre-trained machine learning model ready to use without additional training. Use the model package to create a model on Amazon SageMaker for real-time inference or batch processing. Amazon SageMaker is a fully managed platform for building, training, and deploying machine learning models at scale.
Deploy the model on Amazon SageMaker AI using the following options:
Version release notes
V1 release
Additional details
Inputs
- Summary
Binary audio payload for transcription and link to docs. https://developers.deepgram.com/reference/speech-to-text/listen-streamingÂ
- Input MIME type
- audio/*, *
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Support
Vendor support
Basic support is provided through email (aws@deepgram.com ). Premium and VIP support packages are also available for enterprise clients.
AWS infrastructure support
AWS Support is a one-on-one, fast-response support channel that is staffed 24x7x365 with experienced and technical support engineers. The service helps customers of all sizes and technical abilities to successfully utilize the products and features provided by Amazon Web Services.
Similar products
Deepgram is the enterprise Voice AI platform for building and scaling real time voice applications on AWS. This model transcribes the following 10 languages at once, allowing for aggressive code switching during the conversation.
English, Spanish, French, German, Hindi, Russian, Portuguese, Japanese, Italian, and Dutch.
Our APIs for Nova or Flux Speech to Text (STT) and Aura Text to Speech (TTS) are natively available in the new SageMaker BiDirectional Streaming API. Additional native touchpoints with Amazon Bedrock, Lex, and Amazon Connect make it simple to compose full voice experiences with the cloud services your teams already trust.
Deepgram, Language AI models to power your apps.
Deepgram is the leading voice AI platform for enterprise use cases, offering speech-to-text (STT), text-to-speech (TTS), and full speech-to-speech (STS) capabilities. 200,000+ developers build with Deepgrams voice-native foundational models due to our unmatched accuracy, low latency, and pricing. Having processed over 50,000 years of audio and transcribed over 1 trillion words, there is no organization in the world that understands voice better than Deepgram.
Deepgram is the leading voice AI platform for enterprise use cases, offering speech-to-text (STT), text-to-speech (TTS), and full speech-to-speech (STS) capabilities. 200,000+ developers build with Deepgrams voice-native foundational models due to our unmatched accuracy, low latency, and pricing. Having processed over 50,000 years of audio and transcribed over 1 trillion words, there is no organization in the world that understands voice better than Deepgram.
Deepgram is the enterprise Voice AI platform for building and scaling real time voice applications on AWS. Our APIs for Nova or Flux Speech to Text (STT) and Aura Text to Speech (TTS) are natively available in the new SageMaker BiDirectional Streaming API. Additional native touchpoints with Amazon Bedrock, Lex, and Amazon Connect make it simple to compose full voice experiences with the cloud services your teams already trust.
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