Sold by: Deepdub
Deployed on AWS
Deepdub eTTS is a cutting-edge neural text-to-speech model delivering ultra-realistic, human-like voices in 100+ languages and accents. Built for AWS SageMaker JumpStart, it enables developers and enterprises to generate expressive speech with natural prosody, emotion, and clarity, directly within their AWS environment. Easily deployable via SageMaker endpoints, Deepdub eTTS supports both streaming and batch workflows, making it ideal for media localization, conversational AI, eLearning, accessibility, and more. With low-latency inference, fine control over tone and style, and seamless AWS integration, Deepdub eTTS empowers you to create lifelike, engaging audio experiences at scale, without compromising on performance or security.
Overview
Deepdub eTTS is a next-generation neural text-to-speech model that produces speech almost indistinguishable from a real human voice. It combines advanced AI voice synthesis technology with a deep understanding of how people speak, resulting in output that is rich in emotion, accurate in pronunciation, and natural in pacing.
Key Capabilities:
- Natural prosody and emotion: The model captures subtle vocal inflections, intonation, and timing, creating speech that feels authentic and engaging.
- Extensive language and accent range: Supports more than 100+ languages, including regional accents and variations, enabling content to be tailored for audiences worldwide.
- Variety of voice styles: Choose from a broad selection of voice styles to match different needs, from professional narrations and conversational tones to dynamic character performances.
- Flexible usage: Works effectively for both real-time speech generation and large-scale batch processing.
- Enterprise-level reliability: Built for high performance and scalability, while protecting data privacy and security.
Use Cases:
- Media localization and dubbing: Translate and voice content while keeping the emotional impact of the original performance.
- Interactive voice response (IVR): Deliver clear, engaging, and professional-sounding voices for automated call handling systems.
- Conversational AI: Power chatbots, virtual assistants, and automated voice systems with natural, pleasant-sounding voices. -Agentic AI applications: Provide lifelike voice output for AI agents that perform tasks, interact autonomously, and communicate naturally with users.
- eLearning and training: Produce voiceovers that maintain learner attention through clear and expressive delivery.
- Accessibility: Create high-quality audio for screen readers, audio books, and other assistive technologies.
- Marketing and branding: Develop custom voice assets for advertising, promotions, and interactive experiences.
Deepdub eTTS reduces the time, cost, and complexity of creating realistic voice content while ensuring the highest possible audio quality. Its combination of linguistic accuracy, emotional expression, and scalability makes it a versatile solution for businesses, creators, and developers seeking professional-grade voice generation.
Highlights
- Generate ultra realistic speech with natural rhythm, authentic prosody, and expressive emotional range. Deepdub eTTS delivers human like delivery that engages audiences, maintains clarity across different speaking styles, and adapts to various applications from professional narration and character dialogue to interactive AI driven voice experiences.
- Support for more than 50 languages and a wide selection of regional accents enables Deepdub eTTS to deliver truly localized experiences. Whether for global media distribution, multilingual customer service, or region specific marketing campaigns, the model ensures cultural and linguistic authenticity that connects with audiences worldwide.
- Built for performance, scalability, and flexibility, Deepdub eTTS handles real time streaming, batch processing, IVR systems, and AI driven applications with ease. Enterprise grade security and low latency processing ensure smooth integration into any workflow, allowing seamless deployment for large scale and mission critical voice generation needs.
Details
Sold by
Categories
Delivery method
Latest version
Deployed on AWS
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
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.g5.2xlarge Inference (Batch) Recommended | Model inference on the ml.g5.2xlarge instance type, batch mode | $100.00 |
ml.g6e.xlarge Inference (Real-Time) Recommended | Model inference on the ml.g6e.xlarge instance type, real-time mode | $54.00 |
Dimensions summary
You pay by the hour based on the AWS instance your inference runs on. Two options exist, each tied to a specific instance type and processing mode. The ml.g5.2xlarge option runs in batch mode, which processes text-to-speech requests in groups. The ml.g6e.xlarge option runs in real-time mode, which generates audio as requests arrive for low-latency use. Billing accrues per host hour while the instance runs. Your cost scales with how long each instance stays active, so choose the mode that fits your workload.
Top-of-mind questions for buyers
One host hour is one hour that a single instance runs the model. The ml.g5.2xlarge option bills each hour it processes text-to-speech in batch groups. The ml.g6e.xlarge option bills each hour it generates audio in real-time. Both meter running time on one instance, counted hourly.
The ml.g5.2xlarge batch option processes requests in groups, which suits scheduled or bulk text-to-speech jobs. The ml.g6e.xlarge real-time option generates audio as requests arrive, which suits conversational or streaming use where fast response matters. Each meters per host hour independently on its own instance.
Charges accrue per host hour while the instance runs. A fully stopped instance does not accrue software charges. An idle but running instance still bills per hour, because billing tracks running time, not the number of requests processed. Underlying AWS infrastructure fees may still apply separately.
docs.deepdub.ai
Helpful?
Vendor refund policy
no refund
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
Initial Release
Additional details
Inputs
- Summary
This model accepts JSON input aligned via the Deepdub eTTS API .
https://github.com/deepdub-ai/AWS/tree/main/sagemaker
https://github.com/deepdub-ai/AWS/tree/main/sagemaker
Support
Vendor support
Comprehensive Documentation and Developer Tools: Deepdub API clients receive in-depth documentation and access to developer tools that facilitate easy integration. Our extensive guides include API usage examples, integration instructions, and best practices. The developer portal also provides essential resources like code snippets and SDKs to assist in efficient setup and ongoing management.
For additional support inquiries, contact us through the form on our website: https://deepdub.ai/contact-us
Or by sending an email to:
Technical: support@deepdub.ai
Sales: sales@deepdub.ai
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
The Deepdub API integrates our groundbreaking emotive-based Text-to-Speech technology, providing businesses with an efficient tool to create lifelike, emotionally resonant speech for a variety of applications. Designed for enterprise-scale use, this API supports extensive customization options, including accent control and advanced voice modification, ensuring that each audio output is perfectly tailored to meet specific content needs.
Deepdub Voice API powers multilingual AI agents with expressive, emotionally adaptive speech. Featuring licensed Hollywood-grade voices, real-time performance (under ~250ms), and enterprise-grade control for scalable, human-like interactions
Deepdub GO is a cutting-edge virtual AI studio designed to streamline the post-production dubbing process. This platform empowers creators to produce high-quality localized content quickly and efficiently by leveraging proprietary emotion-based text-to-speech technologies and professional voice creation.
Deepdub's managed services provide a comprehensive suite of dubbing and localization solutions tailored to meet the specific needs of studios, content creators and corporates. Leveraging advanced AI technologies and a team of industry experts, these services offer end-to-end management of the localization process to ensure high-quality, culturally relevant content for global audiences.
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.