Speech-to-Text Solutions Reviews and Ratings

Amazon Transcribe is a speech recognition service provided by AWS that helps developers add speech-to-text functionalities to their applications. It also allows the user to convert audio and video files to text transcripts with maximum accuracy with the help of advanced ML technologies. It supports multiple languages and can distinguish and label speakers in audio or video. Overall, it is a perfect tool but sometimes it finds it difficult to accurately transcribe regional accents and dialects.

It is a service provided by IBM's Watson platform which allows the users to convert audio into text with the help of advanced machine learning models. It is really helpful in transcribing meetings and getting subtitles for videos, it also supports various languages which makes it suitable for a global audience. Overall IBM Watson speech-to-text offers various useful functionalities to the users but factors like cost, complexity, and privacy can be improved.

The software works very well and is good for users who struggle to type quickly and spell correctly.

Call finder has helped our call center business improve by leaps and bounds. The deployment happened this year and since then there is no looking back. The call routing to agents has help drop the call abandon rate by 32% overall. The seamless call recording and the the call data access have helped do the quality assessment of the calls quickly and effectively. The data security and its compliance with the regulatory bodies have been an icing on the cake. Earlier it used to take n number of hours to extract the call, create a transcript and deliver to the quality for assessment but with call finder its just on a click of a button. Customized call scoring, emotion analysis, multi lingual transcripts have been a game changer for the organization. With no limit to the users that can be added to to helps bring more and more teams in its preview and create an operational efficiency. The AHT of the users have been reduced by a huge margin of 45% as they get a precise call that is of the language of their preference. The customized view and be adjusted to agent level to team level to department level. this helps in elimination any non value add and create a perfect environment for work.

Speech Recognition rate is truly remarkable. We are using it in Turkish and English languages. The accuracy is much higher than other tech providers. The accuracy level dramatically reduced our manual text correction times. It is easy to use, has a user friendly interface.

Azure Speech-to-Text is a service provided by Microsoft Azure that helps users convert spoken language into transcripts or written texts. It helps the users with real-time transcription of meetings and is also beneficial for applications like speech recognition and voice-controlled apps. User-friendly customization is something that can be enhanced to make it better.

Speechmatics has an excellent product that works really great out of the box and their team is very responsive to queries