We are using Amazon Transcribe ( /products/amazon-transcribe-reviews ) to convert voice to text. For example, we communicate over the phone, record the call, and then convert the conversation into text messages. We use AWS ( /products/amazon-aws-reviews ) Bedrock LLM models to analyze the conversation, understand the reason for it, and determine any questions asked and answers given. In another project for an insurance company, we use Amazon Transcribe ( /products/amazon-transcribe-reviews ) to convert conversation recordings into text. This text is then shared with another team for processing, allowing us to create more advertisements for the user and increase profit. It's about recording the user-agent conversation related to insurance claims and processing it to make targeted advertisements.
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.
Architect at a tech company with 201-500 employees
Real User
Dec 23, 2020
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 automatic transcription capabilities, converting spoken language into text quickly and accurately. These services cater to various industries, enhancing productivity and communication efficiency.These solutions have transformed how businesses handle audio data, enabling high-speed conversion of spoken language into text with enhanced accuracy. Recent advancements in machine learning have made them increasingly reliable, catering to industries like media,...
We are using Amazon Transcribe ( /products/amazon-transcribe-reviews ) to convert voice to text. For example, we communicate over the phone, record the call, and then convert the conversation into text messages. We use AWS ( /products/amazon-aws-reviews ) Bedrock LLM models to analyze the conversation, understand the reason for it, and determine any questions asked and answers given. In another project for an insurance company, we use Amazon Transcribe ( /products/amazon-transcribe-reviews ) to convert conversation recordings into text. This text is then shared with another team for processing, allowing us to create more advertisements for the user and increase profit. It's about recording the user-agent conversation related to insurance claims and processing it to make targeted advertisements.
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.