Top 3 Speech to Text API’S

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Voice searching has become a vital component of e-commerce. However, multiple complaints are being registered by the past customers who have made purchases using the voice search option. It turns off the target audience as they need a suitable solution that integrates voice recognition in their apps or websites. There are multiple options of speech to text API’S available; however, you can choose the one after digging into the top best and useful API’s for voice search.

Here are the top 3 speech to text API’S.

  • Google Speech to Text

Google is not only the nervous system of the internet world but also one most popular speech to text API. It was developed in 2018 to reduce word errors by 54%. It has an exceptional accuracy level that makes it one of the best options. It can select between different machine learning models depending upon their usage and specifications. Moreover, it has updated the punctuation options, and the results are encouraging so far. It is created in a way that ensures the most effective transcription with minor errors. It is free for less than 60 minutes of audio; however, it charges $0.006 per 15 seconds for more extensive audio transcriptions. So, you must consider the amount of money you are going to spend on it to make sure that it is going to be worth it.

  • Microsoft Cognitive Services

Microsoft cognitive services is another incredible speech to text API that ensures the data security of its customers. It has a unique ‘Speaker Recognition’ feature that makes it stand out of other options. It works as a retina to scan the voice of the user. It further allows the software to adapt to the specific style and accent of the user’s speech. You can find more custom vocabulary options in it than Google, which is an additional benefit. It can also convert text into speech to cater most of your speech-based needs. It has widespread popularity that is making it grow faster than other API’S. However, it uses microservices that works best to solve individual problems but fail when it comes to broader issues.

  • Speechmatics

Speechmatics is a convenient cloud-based API that is being used world widely for automatic transcription services. It supports a wide range of file formats so it can also be used for offline file processing. It is not drafted to understand English only; instead, it can recognize a lot of other languages as well. Also, the accuracy level of Speechmatics is higher than most of the other API’s. This way, you won’t have to invest your time in proofreading your transcriptions. It has ‘Speaker Recognition’ feature like Microsoft Cognitive Services. It can also deal with the noisy audios effectively. Although it has a few drawbacks, none of them can be a deal-breaker. The first and most critical drawback is that it is a costly option as it costs 0.06 GDP per minute. Also, you will have to upload the audio on the website as there is no app interface.

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Tabinda Saleem
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