
Overview
Meet SquadStack ASR, a groundbreaking speech-to-text solution designed for both technology enthusiasts and business users. This innovative AI model boasts top-notch Word Error Rate (WER) performance, ensuring highly accurate transcriptions. SquadStack ASR also offers breakthrough performance in Hinglish transcription, making it perfect for mixed-language environments. With its swift processing capabilities, SquadStack ASR effectively saves time and enhances productivity. Best of all, our competitively priced solution delivers exceptional value without compromising quality. Embrace the future of speech recognition with SquadStack ASR, where precision, efficiency, and affordability harmoniously cater to the needs of tech-savvy users and businesses alike.
Highlights
- Highly Cost-Effective
- Less than 20% Word Error Rate (WER) for telesales call recordings
- 1 min of speech transcription in <10 sec on g4dn instances
Details
Unlock automation with AI agent solutions

Features and programs
Financing for AWS Marketplace purchases
Pricing
Free trial
Dimension | Description | Cost/host/hour |
|---|---|---|
ml.c5.2xlarge Inference (Batch) Recommended | Model inference on the ml.c5.2xlarge instance type, batch mode | $0.40 |
ml.g4dn.xlarge Inference (Real-Time) Recommended | Model inference on the ml.g4dn.xlarge instance type, real-time mode | $0.90 |
ml.p3.2xlarge Inference (Batch) | Model inference on the ml.p3.2xlarge instance type, batch mode | $0.40 |
ml.c5.18xlarge Inference (Batch) | Model inference on the ml.c5.18xlarge instance type, batch mode | $0.40 |
ml.c5.xlarge Inference (Batch) | Model inference on the ml.c5.xlarge instance type, batch mode | $0.40 |
ml.c5.9xlarge Inference (Batch) | Model inference on the ml.c5.9xlarge instance type, batch mode | $0.40 |
ml.c5.4xlarge Inference (Batch) | Model inference on the ml.c5.4xlarge instance type, batch mode | $0.40 |
ml.c5.2xlarge Inference (Real-Time) | Model inference on the ml.c5.2xlarge instance type, real-time mode | $0.90 |
ml.g4dn.4xlarge Inference (Real-Time) | Model inference on the ml.g4dn.4xlarge instance type, real-time mode | $0.90 |
ml.g4dn.16xlarge Inference (Real-Time) | Model inference on the ml.g4dn.16xlarge instance type, real-time mode | $0.90 |
Vendor refund policy
Please reach out to our support team via email at aisolutions@squadstack.comÂ
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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
- Support for both Hindi and English languages for telecommunication context
- Superior runtime performance of GPU Instance
Additional details
Inputs
- Summary
The model accepts binary audio data and returns a JSON object describing the transcription results. The audio data should consist of complete audio files in .wav/ .mp3 format rather than raw PCM data, stored in the input s3 bucket.
- Limitations for input type
- For our Sagemaker model package, MaxPayloadInMB is set to 20 MB, so do ensure that each individual recording is less than 20 MB in size.
- Input MIME type
- Complete audio data stored in input s3 bucket: .wav and .mp3 supported
Resources
Vendor resources
Support
Vendor support
At Squadstack, we are committed to providing exceptional support to ensure a seamless experience with our AI solutions. Our dedicated support team is always ready to assist you with any inquiries, technical issues, or integration concerns. For prompt assistance, please reach out to our support team via email at aisolutions@squadstack.com . Be sure to provide a clear and concise description of your issue, along with any relevant information that will help our team understand and resolve your query effectively.
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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