I am a software developer, and I develop medical applications that transcribe appointments between doctors and patients. Afterward, the transcription is processed to create a report based on specific medical structures. I used AWS Transcribe for this transcription service, which I utilize daily. This was one of my applications. Another application is related to an educational platform similar to Udemy or Coursera, where video content is uploaded. My client wanted a platform where the video and text description are uploaded, and actions are automatically written by the system. I implemented AWS Transcribe to get the transcription and processed it with artificial intelligence models, such as OpenAI, to obtain the processed text for each video.
I use Amazon Transcribe primarily for Skype and Webex sessions for Cloudera. I have an application that I use mainly for conducting classes at the start of a Sprint. I always record these classes, and sometimes students request transcripts of the lectures. I use Transcribe to convert my speech to text and deliver it as both audio and video to my students. Additionally, I attend recorded meetings and use Transcribe to convert them to text and summarize the highlights. This is especially helpful when I miss a meeting.
Lately, I've been using AWS Transcribe for transcriptions. I do have some videos that are a client requirement that convert meetings and videos into audio so that audio can be used as an input factor of the transcript can get transcribed.
Speech-To-Text Services provide automated transcription that converts spoken language into text. These solutions are beneficial across industries, increasing productivity and accessibility.Speech-To-Text Services utilize advanced algorithms and machine learning to offer accurate transcription. These services support a wide array of languages and dialects, helping businesses achieve better communication and data analysis. Real user insights reveal these tools greatly enhance work efficiency by...
I am a software developer, and I develop medical applications that transcribe appointments between doctors and patients. Afterward, the transcription is processed to create a report based on specific medical structures. I used AWS Transcribe for this transcription service, which I utilize daily. This was one of my applications. Another application is related to an educational platform similar to Udemy or Coursera, where video content is uploaded. My client wanted a platform where the video and text description are uploaded, and actions are automatically written by the system. I implemented AWS Transcribe to get the transcription and processed it with artificial intelligence models, such as OpenAI, to obtain the processed text for each video.
I use Amazon Transcribe primarily for Skype and Webex sessions for Cloudera. I have an application that I use mainly for conducting classes at the start of a Sprint. I always record these classes, and sometimes students request transcripts of the lectures. I use Transcribe to convert my speech to text and deliver it as both audio and video to my students. Additionally, I attend recorded meetings and use Transcribe to convert them to text and summarize the highlights. This is especially helpful when I miss a meeting.
I am looking at different solutions for accessibility.
Lately, I've been using AWS Transcribe for transcriptions. I do have some videos that are a client requirement that convert meetings and videos into audio so that audio can be used as an input factor of the transcript can get transcribed.