APIs are almost an inherent part of software ecosystems. There are countless ways in which APIs can operate and send information between apps using a set of definitions and protocols. Application programming interfaces are almost everywhere. For example, there exist English dictionary APIs, check holidays APIs, reverse image search APIs, among others.
What About APIs For Transcription?
A speech to text API converts audio into a readable text called a transcription. It can convert not only a speech into words but also podcasts, conferences, or meetings. Nowadays, speech to text APIs are being adopted more and more by businesses and developers.
What Are The Advantages Of Speech To Text API?
Mainly, a speech to text API saves time and effort. As transcription is an activity usually performed by human beings, it can be exhausting and demanding. Instead, by using an API you avoid all the great requests. Moreover, APIs allow your content to be located. A transcription of your audios makes your content approachable, so you reach a wider audience.
In the same way, speech to text APIs make your content sharable. For many, it is easier to read an article or a text than to listen to it. In this case, you send your audience the text file instead of the audio file. For these reasons, APIs make your text accessible to all.
Four Outstanding Speech To Text APIs
Firstly, we have Google speech to text API. It converts speech into text with AI research and the latest technology. Google API presents speech to text tutorials and learn-how sections to understand the fundamentals of the API. Also, the Google API offers speech on the device, so you can run this application programming interface on any machine, regardless of connectivity.
Secondly, there is AWS Transcribe. The API adds speech to text capabilities to every app and produces easy-to-read texts. It provides high-quality transcriptions as it satisfies many requirements and attributes. Moreover, AWS Transcribe recognizes multiple speakers in an audio file, that is, AWS Transcribe differentiates between speakers and adds a unique attribute to each of them. Besides, the Amazon speech to text API provides the transcription of medical specialties, so you can have a transcription of medical-related speech.
Thirdly, we have AssemblyAI, an API platform for state-of-the-art AI models. AssemblyAI shows accuracy, an easy-to-use platform, automatic punctuation, text summarization, and sentiment analysis. Also, it supports any type of audio and video format. AssemblyAI is also powered by neural networks. All this makes AssemblyAI top-rated on G2 for customer support.
Additionally, another API that is worth mentioning is the English speech to text API. The API transcribes audios and records into text and stores transcribed written text. In particular, the English speech to text API offers meeting transcriptions. When there is a meeting with your team or with your customers and you are too busy to attend it, you just resort to the transcript so you are updated as regards the details. Similarly, the application programming interface by Zyla Labs provides you with call center transcriptions. If you need to be acquainted with the way customers are being handled, you read the transcription of the interaction between clients and customer representatives.
To sum up, APIs are almost everywhere and they are being embraced by businesses progressively. In this article, the best four speech to text APIs are analyzed; consequently, you can explore them and take on the best alternative.