Microsoft Azure

Microsoft Azure allows you to translate text swiftly and accurately in over 90 languages. It is one of the most advanced voice-recognition platforms around. The platform uses deep learning algorithms to overcome poor sound quality and adapt to numerous speaking styles to deliver accurate audio transcriptions.

Features:

• Its speaker recognition feature allows to recognize who’s speaking in a meeting
• You can customize translations for the organization’s specific terms in a preferred programming language
• Allows you to deploy your endpoint to use in your application.

Pricing:

It offers a free plan. After you use free credits, move to pay as you go to keep using the same services.

Today, performing multilingual transcription, speech translation, and language detection are made easy with AI-powered speech recognition tools. This software’s API (Application Programming Interface) provides the ability to call a service to transcribe audio-containing speech into written text.

One of the most well-known choices among speech recognition tools is Whisper AI. The platform converts spoken language into text and is used as a chatbot, voice assistant, speech translator, and transcriptor. It is also known for automating the process of taking notes during meetings.

With so many features, still, this tool may not be an ideal choice for your organization if your project involves real-time processing of streaming voice data or if you need to train a custom model.

The vast number of speech transcription options can be overwhelming and make it difficult to make an informed choice. This article breaks down the best Whisper AI alternatives, outlining their top features, pros and cons, and pricing. So, let’s check out the ranking of all these leading speech-to-text APIs.