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, EDITLY 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.
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
I found https://github.com/mifi/editly to be an intuitive frontend for this type of task - I used it to create a montage of several clips and was able to easily adjust parameters around timestamps and such to get the montage perfect. - Source: Hacker News / about 1 month ago
Sounds like you already have a process for most of this, but I found https://github.com/mifi/editly to be incredibly helpful to run ffmpeg and make my little time lapse video. Could be useful for others. - Source: Hacker News / 7 months ago
For example, this declarative video editor lib has JSON configurations for defining an output video:. Source: 12 months ago
Maybe this tool helps: https://github.com/mifi/editly. Source: over 1 year ago
You seem to misunderstand what ffmpeg is for - namely the stream conversion of media. Only limited filters are available. You can write your own shaders and use cli tools like https://github.com/mifi/editly for automation surely. Source: over 1 year ago
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