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.
No features have been listed yet.
Based on our record, SpeechText.ai seems to be more popular. It has been mentiond 2 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.
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
Evernote - Bring your life's work together in one digital workspace. Evernote is the place to collect inspirational ideas, write meaningful words, and move your important projects forward.
HappyScribe - Happy Scribe automatically transcribes your interviews
Standard Notes - A safe place for your notes, thoughts, and life's work
Transcri.io - Online Sofware (SaaS) for Audio Transcription and Subtitle Generation | Powered by Artificial Intelligence
Joplin - Joplin is a free, open source note taking and to-do application, which can handle a large number of notes organised into notebooks. The notes are searchable, tagged and modified either from the applications directly or from your own text editor.
Audext - Use online audio to text converter to transcribe any voice recording in minutes.