Transcribing audio and video files is a time-consuming and error-prone task, which is only compounded when multiple speakers are involved. AWS Transcribe is a automatic speech recognition (ASR) service that makes it easy to transcribe audio files in a variety of languages in near real-time.
AWS Transcribe can be used to transcribe customer service calls, interviews, lectures, speeches, and more. The service can be accessed through the AWS Management Console, AWS Command Line Interface (CLI), and AWS SDK.
To get started with AWS Transcribe, create an account and sign in to the AWS Management Console. Once you're signed in, navigate to the Transcribe service page and click Create job.
On the next page, you'll be prompted to select the input file that you want to transcribe. The file must be stored in an Amazon Simple Storage Service (S3) bucket. You can also specify the language of the input file and whether to enable speaker recognition.
Once you've selected the input file, click Create job to start the transcription process. The progress of the job can be monitored on the Jobs page.
When the transcription job is complete, you can download the transcript in either plain text or JSON format.
AWS Transcribe is priced based on the length of the audio file being transcribed. The first 60 minutes of transcription is free, and thereafter it is $0.006 per minute. For example, transcribing a one-hour audio file would cost $0.36.
There is also a per-job fee of $0.0001, which is charged for each transcription job regardless of the length of the audio file.
There are several limits that apply to AWS Transcribe jobs, including the following:
Here are some best practices to keep in mind when using AWS Transcribe:
AWS Transcribe is a powerful ASR service that can save you a lot of time and effort when transcribing audio files. Be sure to follow the best practices outlined in this article to get the most out of the service.