
Overview
The Cyanite Audio Analyzer is a powerfull tool to automatically tag music. It offers a broad variety of tags like BPM, Key, Mood, Genre, Sub-genre, Voice, Voice, Gender, Voice, Tags, Instruments, Valence & Arousal, Energy Level, Energy Dynamics, Musical Era, Movement, Character, Classical Epoch, and AI Descriptions.
Highlights
- New updated AI Auto-Description
- Performance increase: ~2x faster per inference
- Refined Taxonomy
Details
Unlock automation with AI agent solutions

Features and programs
Financing for AWS Marketplace purchases
Pricing
Dimension | Description | Cost |
|---|---|---|
ml.c5.2xlarge Inference (Batch) Recommended | Model inference on the ml.c5.2xlarge instance type, batch mode | $450.00/host/hour |
inference.count.m.i.c Inference Pricing | inference.count.m.i.c Inference Pricing | $1.00/request |
Vendor refund policy
No refunds.
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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
New Cyanite Audio Analyzer
Additional details
Inputs
- Summary
Calling the model package is done via REST. The container expects audio files as binary data within the data field of a POST request. We recommend the SageMaker Python SDK for handling invocations.
- Input MIME type
- audio/mpeg
Resources
Vendor resources
Support
Vendor support
Please send any support requests to support@cyanite.aiÂ
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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