Most speech recognition systems output a string of text without punctuation. Amazon Transcribe uses deep learning to add punctuation and formatting automatically, so that the output is more intelligible and can be used without any further editing.

Amazon Transcribe is able to recognize when the speaker changes and attribute the transcribed text appropriately. This can significantly reduce the amount of work needed to transcribe audio with multiple speakers like telephone calls, meetings, and television shows.

Amazon Transcribe gives you the ability to expand and customize the speech recognition vocabulary. You can add new words to the base vocabulary and generate highly-accurate transcriptions specific to your use case, such as product names, domain-specific terminology, or names of individuals.

Amazon Transcribe is able to process audio and video where each speaker is recorded on different channels. Contact centers stand to benefit significantly by submitting a single audio file to Amazon Transcribe, which will identify each channel and produce a single transcript with annotated by channel labels.

Amazon Transcribe is designed to provide accurate and automated transcripts for a wide range of audio quality. You can generate subtitles for any video or audio files, and even transcribe low quality telephony recordings such as customer service calls.

With Amazon Transcribe, you can transcribe audio to text in real time. Using a secure connection over the HTTP 2 protocol, you can send a live audio stream to the service, and in return, receive a stream of text in real time.

Amazon Transcribe returns a timestamp for each word, so that you can easily locate the audio in the original recording by searching for the text.