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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SpeechText.ai might be a bit more popular than Firepad. We know about 2 links to it since March 2021 and only 2 links to Firepad. 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.
Check out Firepad. The right way to do this is to have a real-time database that synchronizes all data and have each client listen to updates and rerenders accordingly. Source: about 2 years ago
This is a collaborative code editor I built in a week, after being frustrated with existing solutions like Firepad (unmaintained project, locked to Firebase, lack of customization). The server has operational transformation control algorithms implemented in async Rust with warp's WebSockets and tokio. The TypeScript client interfaces with Monaco & also has some Rust code for the text transformation step, which is... 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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