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    Home»Development»Artificial Intelligence»Best and Nano Tiers: More Speech-to-Text and Pricing Options

    Best and Nano Tiers: More Speech-to-Text and Pricing Options

    May 8, 2024

    Since day one, AssemblyAI has been focused on serving the growing needs of thousands of developers and organizations who build on our API every day. With this in mind, we launched new offerings‚ including a price reduction and latency improvements, new integrations, and our next-gen Universal-1 model in the last year alone.

    To help you balance cost, speed, and accuracy as you build, we now offer two new Speech-to-Text tiers: Best and Nano. These tiers offer different levels of power, capabilities and price points.

    The Best and Nano tiers make it easy to choose the level of Speech-to-Text precision that your use case requires. You are never locked into using one specific tier when building with our Speech AI models, which gives you the opportunity to build at scale and access different price points depending on what you’re developing.

    How to Choose the Right Speech-to-Text Tier 

    The Best and Nano tiers both provide powerful Speech AI capabilities, but provide different functionality and price points depending on your budget constraints and accuracy requirements. Here’s a quick guide to help you decide when to use each tier:

    Best tier (Default for customers): The Best tier is our most accurate and advanced Speech-to-Text offering and is the default tier for customers. The Best tier is well suited for those that need to capture the nuances of voice data and complex audio files that have noisy backgrounds, multiple speakers, or accented speech. (Note: You can change your default tier in the API.)

    Our Best tier houses our most powerful Speech AI models, including Universal-1’s cutting-edge accuracy and capabilities. You can see a full breakdown of Universal-1’s performance here.

    Nano tier: This tier is our newest offering that provides high-quality Speech-to-Text at an accessible price point. The Nano tier works well for content generation, topic detection, and more, and is ideal for those that require cost efficiency or want to test out Speech-to-Text models in a low-cost way.

    Compare AssemblyAI Speech-to-Text Tiers 

    Best tier (Default)
    Nano tier

    Best-in-class/premium, highest accuracy
    Combination of accuracy & speed

    Starts at $0.37/hour
    Starts at $0.12/hour

    Suggested use cases:

    High-quality search experience: proper nouns, business jargon, unique words, etc.
    Complex audio files with noisy backgrounds, multiple speakers, accented speech
    When using Large Language Models where a highly accurate transcript is necessary

    Suggested use cases:

    Topic detection to enable search indexing
    Basic content generation with AI: hashtags, titles, descriptions
    Extensive archives of audio files

    No two use cases are the same, so we’ve intentionally made it easy to try both of our Speech-to-Text tiers yourself. You can determine the best tier for your needs directly in our API or in the Playground.

    How to Select Best or Nano tier in the API 

    Follow these instructions to change your default tier in the API with one line of code in your transcription request.

    Change the tier by setting the speech_model parameter in the transcription config (Python SDK example):

    config = aai.TranscriptionConfig(speech_model=aai.SpeechModel.nano)

    transcriber = aai.Transcriber(config=config)

    If you do not set the speech_model parameter explicitly, it will default to Best. If you have any questions, visit our Docs or reach out to Customer Support at support@assemblyai.com.

    Build Applications Your Way

    The Best and Nano tiers let you find the perfect fit for your application—whether you need the accuracy and scalability of Best or the cost-effective capabilities of Nano.

    Start Building with AssemblyAI

    Check out our pricing page to explore the costs. Once you find your tier, visit the developer documentation to start building.

    Explore Pricing

    Source: Read More 

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