Sold by: Sarvam AI
Deployed on AWS
Free Trial
Text to Speech (Bulbul V3)
Overview
Transform text into audio in real-time with our REST API and bidirectional (HTTP/2) streaming API. Built for applications requiring immediate text to audio processing with minimal delay.
Highlights
- TTS with support for all 22 indic languages
Details
New
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
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.g6.2xlarge Inference (Batch) Recommended | Model inference on the ml.g6.2xlarge instance type, batch mode | $10.00 |
ml.g6e.xlarge Inference (Real-Time) Recommended | Model inference on the ml.g6e.xlarge instance type, real-time mode | $15.00 |
ml.g6.12xlarge Inference (Batch) | Model inference on the ml.g6.12xlarge instance type, batch mode | $30.00 |
ml.g6.12xlarge Inference (Real-Time) | Model inference on the ml.g6.12xlarge instance type, real-time mode | $30.00 |
ml.g6.16xlarge Inference (Batch) | Model inference on the ml.g6.16xlarge instance type, batch mode | $10.00 |
ml.g6.16xlarge Inference (Real-Time) | Model inference on the ml.g6.16xlarge instance type, real-time mode | $10.00 |
ml.g6.24xlarge Inference (Batch) | Model inference on the ml.g6.24xlarge instance type, batch mode | $60.00 |
ml.g6.24xlarge Inference (Real-Time) | Model inference on the ml.g6.24xlarge instance type, real-time mode | $60.00 |
ml.g6.2xlarge Inference (Real-Time) | Model inference on the ml.g6.2xlarge instance type, real-time mode | $10.00 |
ml.g6.48xlarge Inference (Batch) | Model inference on the ml.g6.48xlarge instance type, batch mode | $120.00 |
Dimensions summary
You pay by the hour for each host running the text-to-speech model. Pricing scales with the GPU instance size you choose, from the ml.g6.xlarge up to the ml.g6.48xlarge. Two instance families are available: the ml.g6 series and the ml.g6e series. The ml.g6 series offers both batch mode and real-time mode. Batch mode processes speech jobs in groups, while real-time mode returns audio immediately. The ml.g6e series is offered in real-time mode only. Larger instance sizes carry higher hourly rates. You select the size and mode that fit your workload.
Top-of-mind questions for buyers
One host hour is one hour that a chosen instance runs the text-to-speech model. Each running instance meters its own hours. Charges apply while the instance is active. Powered-off instances stop accruing software charges, though underlying AWS infrastructure fees may still apply separately.
Both modes bill by the host hour. Batch mode processes speech jobs in groups, so you run the instance for a set period and stop it. Real-time mode returns audio immediately, so you keep the instance running for live requests. Batch suits scheduled work; real-time suits interactive voice applications.
The ml.g6 series offers both batch and real-time modes. The ml.g6e series is offered in real-time mode only. If you need batch processing, choose a ml.g6 instance. For real-time voice applications, either series works. Your bill depends on the instance size and hours run.
www.sarvam.ai
Helpful?
Vendor refund policy
Legal
Vendor terms and conditions
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) .
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
Make Sarvam's flagship TTS powered by inhouse bulbul:v3 available on AWS Sagemaker L40s and L4 instances
Additional details
Inputs
- Summary
Give the input text and target language with sample rate and speaker id
- Limitations for input type
- 2500 chars for realtime and stream API 30 minute for websocket
- Input MIME type
- application/json
https://github.com/sarvamai/amazon-sagemaker-examples/tree/main/text-to-speech/bulbul-v3/data/input
https://github.com/sarvamai/amazon-sagemaker-examples/tree/main/text-to-speech/bulbul-v3/data/input
Support
Vendor support
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 product listing contains multiple versions of the aura-2 model which can each speak a set of languages and voices. See version details for more information. Deepgram charges are billed per request as described by https://deepgram.com/pricing
Our APIs for Nova Speech to Text (STT) are natively available in the new SageMaker Bi-Directional 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.
Real-time Japanese text-to-speech via SageMaker bidirectional streaming. Sub-second first-audio latency.
Deepgram is the enterprise Voice AI platform for building and scaling real time voice applications on AWS. This product listing contains multiple versions of the nova-3 model which can each transcribe a set of languages. See version details for more information.
You will be billed $0.0077/min as described by https://deepgram.com/pricing. Private pricing available upon request.
Our APIs for Nova Speech to Text (STT) are natively available in the new SageMaker Bi-Directional 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 is the enterprise Voice AI platform for building and scaling real time voice applications on AWS. This product listing contains multiple versions of the nova-3 model which can each transcribe a set of languages. See version details for more information.
You will be billed $0.0092/min as described by https://deepgram.com/pricing. Private pricing available upon request.
Our APIs for Nova Speech to Text (STT) are natively available in the new SageMaker Bi-Directional 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 is the enterprise Voice AI platform for building and scaling real time voice applications on AWS. This product listing contains multiple versions of the flux model which can each transcribe a set of languages. See version details for more information.
You will be billed $0.0078/min as described by https://deepgram.com/pricing.
Our APIs for Nova Speech to Text (STT) are natively available in the new SageMaker Bi-Directional 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.
Customer reviews
No customer reviews yet
Be the first to review this product . We've partnered with PeerSpot to gather customer feedback. You can share your experience by writing or recording a review, or scheduling a call with a PeerSpot analyst.