Amazon Transcribe Reviews

We are using Amazon Transcribe 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 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 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.

The valuable aspect of Amazon Transcribe is its ability to perform speech recognition and convert it into text. It's highly compatible with a serverless environment, making it easy to trigger the service and get results. Although no specific features handle diverse accents or dialects effectively, the scalability and ease of use are notable. It provides the best results for our needs, is highly scalable, and easy to manage. The service also benefits from cost savings, being a pay-as-you-go model with very reasonable pricing for audio transcription at $0.004 per second.

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.

The feature I utilized the most was transcription. Initially, I considered exploring real-time transcription, but it was not required for my clients, who needed asynchronous transcription. 

Once the appointment was uploaded, the audio or video could be transcribed. The transcription capability was a core component of business ideas, which was not possible to implement three or four years ago. With AWS Transcribe, transcriptions of video and audio can be processed with other LLMs, like Bedrock or OpenAI ChatGPT, to create custom solutions based on the content.

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.

The speech-to-text functionality is the major feature that I find most valuable, and it has been very useful for me. The results I get with Transcribe are near-perfect—over 99% better than what I have experienced before. This high level of accuracy has improved my efficiency, particularly in delivering transcriptions of my classes to my students. This improvement has enhanced both my financial gain and work efficiency.

I am looking at different solutions for accessibility.

Amazon Transcribe helps me not to fall behind in a meeting and not know what's going on. Also, I have the transcript at the end to help me figure out what was said during the meeting.

I definitely like the ability to fix the things that are wrong in the transcript. I think it does allow you to put in words that you use all the time, to create your own lexicon, so that it doesn't keep putting the wrong word in every single time.

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.

AWS Transcribe is the most useful feature for us right now. It allows us to easily transcribe meetings and videos.

Overall, the solution has been very useful.

We don't run into any issues with bugs or glitches.

The customization is good.

We haven't had any security issues.

The solution offers very nice dashboards.

The initial setup is very easy. They offer good documentation, which helps the process along.