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, oTranscribe should be more popular than SpeechText.ai. It has been mentiond 9 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.
I've used https://otranscribe.com/ in the past with pretty good luck. Source: about 1 year ago
I use, Teams for online interviews, https://otranscribe.com/ for transcription and https://intuido.eu/ for writing down insights (sometimes I use Intuido in the field to directly capture insights, or I give it to clients and they write their own insights as well). I cluster insights, create project opportunities etc. Using Miro. Source: over 1 year ago
For that reason, I think this would be a good candidate for an open-source program. Unfortunately, while there are a number of FOSS speech-to-text libraries, finding one implemented in a simple program is harder. The only thing I found after a quick search was oTranscribe which seems to be an interview tool for journalists, but if all you need is for someone to be able to dictate an email to be copy-pasted... Source: over 2 years ago
I use an online tool called oTranscribe. You upload your audio file online and then can use the page to write the transcript as well. Source: over 2 years ago
Here's one that I found https://otranscribe.com/. Source: over 2 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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