Generate natural English speech from text with Chatterbox Nano on CPU, in the voice of a short sample you provide. This Ubuntu 24.04 AMI runs a private, token-protected speech service in your own AWS account, so you can create narration and voice prompts without sending text or voice data to a third-party service.
Chatterbox is an open source text-to-speech model from Resemble AI. Give it a short English sentence and a 6 to 8 second voice sample that you own or are allowed to use, and it returns a WAV file in that voice. This AMI is for developers and content teams who prototype narration, voice prompts or accessibility audio and want the voice data kept in their own AWS account.
What you get: Chatterbox Nano on CPU with a private service on port 8094, an access token created on first boot (nothing is baked into the image), storage for generated clips and a guided first sentence under /opt/sushi/docs. GPU execution, languages other than English and a public voice catalog are not included.
Choosing an instance: c7i.2xlarge is the recommended type for normal use. t3.large meets the 8 GiB minimum and is supported for evaluation, but speech generation, especially the first synthesis after boot, is noticeably slower.
Getting started: launch c7i.2xlarge with at least 64 GiB of encrypted gp3 storage and IMDSv2, keep inbound application ports closed and connect with Session Manager. Run sudo -iu ubuntu bash /opt/sushi/docs/demo.sh, forward port 8094 and generate your first sentence. Back up stored clips before replacing an instance.
This is a repackaged open source software product wherein additional charges apply for independent AWS packaging, setup documentation and maintenance by Software Sushi. Resemble AI publishes Chatterbox under the MIT license. Software Sushi is independent of the upstream project and does not claim upstream or AWS endorsement. EC2, EBS and data transfer are billed separately from software charges.
Highlights
Natural English speech from text, generated on CPU, one sentence at a time.
Speaks in the voice of a 6 to 8 second sample that you own or are allowed to use.
Recommended on c7i.2xlarge; t3.large works for evaluation but is slower. Private, token-protected service.
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.
You pay by the hour for this text-to-speech software, based on which Amazon EC2 instance size you run. The two options reflect different compute configurations. The t3.large instance offers a smaller, general-purpose setup. The c7i.2xlarge instance offers a larger, compute-optimized setup. Your hourly software rate changes with the instance you pick, so you can match the size to your workload. AWS infrastructure costs, such as EC2, storage, and data transfer, are billed separately from this software charge.
Top-of-mind questions for buyers
What do the t3.large and c7i.2xlarge rates cover, and what resources does each give me?
The rate covers the Chatterbox software running on that Amazon EC2 instance. The t3.large is a smaller, general-purpose configuration. The c7i.2xlarge is a larger, compute-optimized configuration with more CPU and memory. You pick the size that fits your text-to-speech workload.
Am I charged the software rate when the instance is stopped?
The software rate meters running hours on your chosen instance. A fully stopped instance does not accrue software charges. Underlying AWS storage, such as EBS, may still bill while the instance is stopped. The software license meters active running time only.
Besides the hourly software rate, what other costs should I expect?
AWS infrastructure is billed separately, including EC2 compute, EBS storage, networking, and data transfer. The software runs in your own AWS account, so you control and pay for that infrastructure. Review the current listing before subscribing to confirm all applicable charges.
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Vendor refund policy
We offer a full refund of software charges for the first 48 hours billing starts if the product does not perform as described. To request a refund, email info@softwaresushi.com with your EC2 instance ID and a description of the issue. AWS infrastructure costs (EC2, EBS, data transfer) and any third-party service charges are not eligible for refund by us.
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An AMI is a virtual image that provides the information required to launch an instance. Amazon EC2 (Elastic Compute Cloud) instances are virtual servers on which you can run your applications and workloads, offering varying combinations of CPU, memory, storage, and networking resources. You can launch as many instances from as many different AMIs as you need.
Version release notes
Chatterbox Nano on Ubuntu 24.04 for c7i.2xlarge. English speech from a short sentence and a voice sample you provide, returned as WAV. Connect with Session Manager as ubuntu and run sudo -iu ubuntu bash /opt/sushi/docs/demo.sh after first boot.
Additional details
Usage instructions
Launch c7i.2xlarge with at least 64 GiB encrypted gp3 root storage and IMDSv2; keep inbound application ports closed. 2. Connect with AWS Systems Manager Session Manager (no key pair or inbound rule needed); you land as ssm-user. 3. Wait for cloud-init and run sudo -iu ubuntu bash /opt/sushi/docs/demo.sh. 4. Forward port 8094 with Session Manager or an SSH tunnel; the access file and first sentence are in the guide at /opt/sushi/docs/README.md on the instance. 5. Back up stored clips before replacing the instance. EC2, EBS, and data transfer are billed separately from software.
Support
Vendor support
Software Sushi provides installation and configuration guidance for this image. Contact info@softwaresushi.com with your product version and reproduction steps; never send keys or private configuration. Guaranteed response times require a separate agreement. This offer does not include upstream project 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.
Transcribe English and Spanish audio on CPU with faster-whisper and a pinned multilingual small model. This Ubuntu 24.04 AMI returns text with segment and word timestamps through a private HTTPS API with per-instance TLS. Audio stays on the instance, with no model API account or GPU needed.
Synthesize natural English speech on a SageMaker GPU endpoint for IVR prompts, narration and voice apps. Runs inside your AWS account, so your text is never sent to a third-party API. About 2.5 s to produce 5 s of audio on ml.g4dn.xlarge.
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