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, Do Things That Don't Scale should be more popular than SpeechText.ai. It has been mentiond 3 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.
And I'd add "Do Things that Don't Scale" as perhaps the absolute best way to get started. * Paul Graham's original essay * Website with more examples * The Y Combinator video. Source: over 2 years ago
The website Do Things That Don't Scale and the article Early Adopter Marketing have a ton of examples on how to get initial users and test early ideas. Source: almost 3 years ago
Karthik Puvvada (typically goes by KP) is a prolific product maker and community builder who believes strongly in building in public. In the last 2 years, he shipped more than 10 no-code ideas including community-driven products like DoThingsThatDontScale, Cuppa, LetterDrop, No-Code Cheat Sheet and Build In Public. He is also a growth advisor for startups like Shoutout and Cafecito. Source: about 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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