OpenAI Whisper

A general-purpose speech recognition model.

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Overview

Whisper is a large-scale, weakly supervised speech recognition model from OpenAI. It is trained on a massive dataset of diverse audio and is able to perform robustly on a wide range of accents, languages, and background noise. Whisper is available as an open-source model, which means that developers can run it on their own infrastructure. It is also available as an API through OpenAI.

✨ Key Features

  • High-quality speech recognition
  • Support for a wide range of languages
  • Robust to background noise and accents
  • Open-source model
  • Available as an API

🎯 Key Differentiators

  • Open-source model
  • High accuracy and robustness
  • Backed by OpenAI's research

Unique Value: Whisper provides a powerful and flexible speech recognition model that is open-source and backed by the cutting-edge research of OpenAI.

🎯 Use Cases (5)

Transcription of audio and video Building voice-enabled applications Academic research in speech recognition Accessibility and captioning Content creation and analysis

✅ Best For

  • Providing a powerful and flexible speech recognition model for a wide range of applications.
  • Enabling developers to build innovative voice experiences with an open-source model.

💡 Check With Vendor

Verify these considerations match your specific requirements:

  • Non-developers or users who are not comfortable working with an API or running their own models.
  • Businesses that require a fully managed, enterprise-grade solution with dedicated support.

🏆 Alternatives

Google Cloud Speech-to-Text Amazon Transcribe Microsoft Azure Cognitive Services Speech to Text

Whisper's open-source nature gives developers more control and flexibility than the closed-source APIs of the major cloud providers.

💻 Platforms

API Self-hosted

✅ Offline Mode Available

🔌 Integrations

API

💰 Pricing

Contact for pricing
Free Tier Available

Free tier: Open-source model is free to use

Visit OpenAI Whisper Website →