SpeechText.AI can use one of several machine learning models to transcribe audio files based on the original type of the audio. It provides multiple pre-built models, and you can improve the quality of speech recognition for various types of audio. If you specify the type of the original audio, this will allow the service to process your audio files using a machine learning model trained from data similar to your file.
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Based on our record, Wavve should be more popular than SpeechText.ai. It has been mentiond 8 times since March 2021. We are tracking product recommendations and mentions on various public social media platforms and blogs. They can help you identify which product is more popular and what people think of it.
Wavve will also make audiograms for social media (https://wavve.co/). Source: about 1 year ago
Headliner.app and wavve.co do the promotion and nothing more. Source: over 1 year ago
I can't tell you how many "consultants" told us that what we were doing wasn't worth the effort because a podcast host was going to build this feature that would make Wavve obsolete. Well, they all did build that feature but they all built poor versions of it and customers still came to us. Source: over 2 years ago
And paid niche is already relatively saturated with already big products e.g. https://veed.io https://headliner.app https://wavve.co and several others, so competing seemed like an uphill battle... Source: over 2 years ago
In the early days for Wavve& Zubtitle it was direct sales/outreach. We would find people on social media promoting their podcast or video and pitch our tools to them. Source: almost 3 years ago
Healthcare is one of the biggest industries in the world. Doctors, nurses, and other health care practitioners are using technology to enhance their performance. Voice recognition technologies and medical speech recognition software have become essential for healthcare providers. This sector includes many companies developing highly efficient voice recognition tools. Source: over 2 years ago
I also tried speechtext.ai which honestly did a very good job and I'm happy with it, but pricing wise it's too much. Source: almost 3 years ago
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