OpenAI's open source speech recognition model. Transcribe and translate audio in 99 languages with state-of-the-art accuracy.
| Category | AI Audio & Voice |
| Starting Price | Free/month |
| Website | github.com |
| Ideal For | Developers, Researchers, Content creators |
| Visibility Score | 48/100 |
| Last Verified | Mar 18, 2026 by EurekaNav Team |
Whisper is an open-source speech recognition model that can transcribe and translate audio in multiple languages with high accuracy.
Whisper is an open-source speech recognition model developed by OpenAI, designed for transcribing and translating audio in 99 languages. It is suitable for developers and researchers seeking high accuracy in audio processing tasks, setting itself apart with its state-of-the-art performance.
Yes, Whisper is available as an open-source tool and can be used for free.
Whisper is best for transcribing and translating audio in various languages with high accuracy.
Whisper offers open-source flexibility and supports 99 languages, while Google Speech-to-Text provides a robust commercial solution with extensive features.
Data sourced from:
Schema version 1.0 · Source: eurekanav.com
Access to the open-source model and basic features.
Last verified Mar 18, 2026
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