Amazon Transcribe

I use Amazon Transcribe in order to facilitate my video translation, transcription, and direct translation tasks. Instead of typing everything and wasting ages doing so, Amazon Transcribe does that in a very short time. Some speakers have heavy accents, and this service helps me to figure out most of the challenges in the tasks.

We are using Amazon Transcribe extensively to transcribe conversations with our customers. We are also utilizing it in in-house video demos and presentations to add subtitles. The business problems we address are inclusive of reduced labor (if transcription were to be done manually in entirety). It is quite easy to implement and its integration with our existing databases was quite simple.

With Amazon Transcribe, it has been effective to extract actionable insights from clients' chats which advance engagements in real-time.

Our company began with AWS Transcribe when looking for a way to improve both the productivity of our agents and our customer experience. Transcribe is an easy way to quickly convert human speech into a readable (and reportable) test that helps us pull helpful data from. The functionality is nice as it lets you sort based on keywords or interruptions. One benefit we've seen is the ability to use both real-time transcribing and transcribing of finished audio files. The service is very feature-rich and provides many new options we haven't found in other services (such as allowing it to detect multiple speakers during a meeting, and track interruptions from sales agents). The tool is useful, particularly if you are able to use all of the features it offers.

We currently use Amazon Transcribe to help with transcoding meetings + recordings so we can both send them out to hearing impaired employees and send along meeting transcripts that people can quickly read and get an idea of the meeting contents + purpose without the need to listen to a hour long meeting.

We use Amazon Transcribe to help the KYC process for digital certificates by transforming key phrases from speech to text during an authentication video. We need a fast and reliable system to transform our users' speech to text in a way that we can validate various outputs of this process via APIs and issue a final approval or denial of the user request.