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
Introducing multi-product solutions
You can now purchase comprehensive solutions tailored to use cases and industries.
Features and programs
Financing for AWS Marketplace purchases
Pricing
Free trial
Dimension | Description | Cost/host/hour |
|---|---|---|
ml.g6.xlarge Inference (Batch) Recommended | Model inference on the ml.g6.xlarge 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 (Batch) | Model inference on the ml.g6.2xlarge instance type, batch mode | $10.00 |
ml.g6.2xlarge Inference (Real-Time) | Model inference on the ml.g6.2xlarge instance type, real-time mode | $10.00 |
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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.
Version release notes
Make Sarvam's flagship TTS powered by inhouse bulbul:v3 available on AWS Sagemaker
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
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.