Sold by: Trellis Data
Deployed on AWS
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Leverage Trellis Data's expertise in fine-tuning AI for translation and transcription. Our specialists design and optimize models to handle bespoke languages and dialects, delivering accurate, context-aware results where off-the-shelf tools fall short.
Overview
Trellis Data addresses the limitations of off-the-shelf translation and transcription tools by developing custom AI solutions capable of understanding and processing bespoke languages. We create production ready models that bridge the gap where mainstream options fall short, equipping enterprises, government agencies, and high-security organizations with language solutions tailored to their unique needs and use cases. We specialize in training, fine-tuning, and optimizing speech-to-text AI models, ensuring accurate output for niche, low-resource, or specialized languages. Our models are designed to deliver optimal results, while providing the linguistic accuracy and cultural sensitivity required for mission-critical applications. Our models are already deployed and trusted by law enforcement and high security agencies in government.
Our transcription models run much faster than real time (depending on the underlying GPU hardware you choose); this means the price per hour of processed audio is much lower than the price to run the model for an hour. We support batched and realtime operation so you can optimize appropriately to your needs.
Highlights
- Accurate transcription with preprocessing aimed at handling a variety of audio sources.
Details
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Delivery method
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Deployed on AWS
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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 5 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 | $1.59 |
ml.g4dn.xlarge Inference (Real-Time) Recommended | Model inference on the ml.g4dn.xlarge instance type, real-time mode | $2.39 |
ml.g4dn.xlarge Inference (Batch) | Model inference on the ml.g4dn.xlarge instance type, batch mode | $2.39 |
ml.g6.xlarge Inference (Real-Time) | Model inference on the ml.g6.xlarge instance type, real-time mode | $1.59 |
ml.g5.xlarge Inference (Real-Time) | Model inference on the ml.g5.xlarge instance type, real-time mode | $3.03 |
Dimensions summary
You pay by the hour for the compute instance that runs the Modern Standard Arabic transcription model. Pricing is organized by instance type and processing mode. Batch mode runs on the ml.m5.xlarge or ml.g4dn.xlarge instances, which process audio in scheduled jobs. Real-time mode runs on the ml.g4dn.xlarge, ml.g6.xlarge, or ml.g5.xlarge instances, which handle live streaming input. GPU-backed instances (the g-series) support both modes, while the m5 instance is offered for batch only. You select the instance that fits your workload and hardware needs.
Top-of-mind questions for buyers
One HostHrs unit equals one hour that a single compute instance runs the Modern Standard Arabic transcription model. You are charged for each hour the instance stays active. The rate depends on which instance type you select and whether you run in batch or real-time mode.
Charges accrue per hour the instance runs, so an active but idle instance still meters time. Stopping the instance ends software charges. Underlying AWS infrastructure fees, such as storage, may still apply while resources remain provisioned. Only running hours count toward the software charge.
Batch mode runs on the ml.m5.xlarge or ml.g4dn.xlarge instances, processing audio in scheduled jobs. Real-time mode runs on the ml.g4dn.xlarge, ml.g6.xlarge, or ml.g5.xlarge instances for live streaming input. Batch suits recorded files processed in bulk. Real-time suits continuous incoming audio needing immediate transcription.
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Vendor refund policy
Refund Policy (Effective: 09/10/2026) Refunds for Trellis Data Speech Transcription models may be granted for technical issues unresolvable by support, billing errors, or duplicate charges. Services already rendered, custom configurations, or costs from customer misuse or misconfiguration are non-refundable. This policy operates per AWS Marketplace terms. Contact: support@trellisdata.com.au (9AM-5PM AEDT, weekdays). Policy subject to updates.
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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.
Deploy the model on Amazon SageMaker AI using the following options:
Version release notes
- Support for Sagemaker Invocations
Additional details
Inputs
- Summary
Supports file inputs with the following media types ['audio/wav', 'audio/mpeg']. For files larger than 30 seconds the model will split the audio into 30 second chunks for processing and provide the output per chunk.
Please include the content-type when sending a file for inference. See sample notebooks linked.
https://github.com/Trellis-Data/sagemaker-samples/tree/main/asr/data/input/real-time
https://github.com/Trellis-Data/sagemaker-samples/tree/main/asr/data/input/batch
Input data descriptions
The following table describes supported input data fields for real-time inference and batch transform.
Field name | Description | Constraints | Required |
|---|---|---|---|
ContentType | Please specify a valid content type matching the file being uploaded. One of ['audio/wav', 'audio/mpeg'] | - | No |
Support
Vendor support
Email our team at: support@trellisdata.com.au
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.
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