Amazon Transcribe Features

You can process your existing audio recordings or stream the audio for real-time transcription. Using a secure connection, you can send a live audio stream to the service, and receive a stream of text in response.

Select a model that is tuned to telephone calls or multimedia video content. For example, Transcribe adapts to low-fidelity phone audio common in contact centers.

With Amazon Transcribe, you can automatically identify the languages spoken in an audio file or streaming media without having to specify a language code. Amazon Transcribe will identify the dominant language spoken or if the audio contains multiple languages, it can identify all languages spoken and transcribe the speech accordingly. This is useful when your customers might be switching between languages or your media library contains audio files in different languages. You can also use this feature for media content classification and verify that the main spoken language in your videos and podcasts is correctly label.

Amazon Transcribe automatically adds punctuation and number formatting, so that the output closely matches the quality of manual transcription at a fraction of the time and expense. Numbers are also transcribed into digits or “normal form” instead of words.

Amazon Transcribe returns a timestamp for each word, so that you can easily find a word or phrase in the original recording or add subtitles to video.

Speaker changes are automatically recognized and attributed in the text to capture scenarios like telephone calls, meetings, and television shows accurately. To learn more about speaker identification.

Contact centers can submit a single audio file to Amazon Transcribe, and the service will identify produce a single transcript annotated by channel labels automatically.

With custom vocabulary, you can add new words to the base vocabulary to generate more accurate transcriptions for domain-specific words and phrases like product names, technical terminology, or names of individuals.

When needed, you can build and train your own custom language model (CLM) for your use case and domain by submitting a corpus of text data to Amazon Transcribe. CLM is a suitable feature for enhancing speech recognition accuracy with your own data.

You can specify a list of words to remove from transcripts with vocabulary filtering. For example, you can specify a list of profane or offensive words and Amazon Transcribe removes them from transcripts automatically.

When instructed, Amazon Transcribe can help customers identify and redact sensitive personally identifiable information (PII) from the supported language transcripts. This allows contact centers to easily review and share the transcripts for customer experience insight and agent training.

Secure data at rest using Amazon S3 key (SSE-S3) or specify your own AWS Key Management Service key. Amazon Transcribe uses TLS (Transport Layer Security) 1.2, a cryptographic protocol that enables authenticated connections and secure data transport over the internet via HTTP, with AWS certificates to encrypt data in transit. This includes streaming transcriptions. 

Amazon Transcribe Toxicity Detection uses Machine Learning to keep audio conversations civil and constructive to encourage a safe and inclusive online environment. Toxic audio content is flagged into one of several categories for human moderators to easily identify and take appropriate action. 

Generate call summaries to help agents focus on providing excellent customer experiences and increase productivity post-call by automatically capturing key parts of the customer conversation (e.g. issue, outcomes, or action items). Managers can quickly review these summaries without reviewing the entire transcript to understand the context of an interaction and investigate any customer issues.

Using the power of machine learning, you can quickly apply speech-to-text and natural language processing capabilities to uncover valuable conversation insights. You can then integrate insights such as customer and agent sentiment, detected issues, and speech characteristics like non-talk time, interruptions, and talk-speed into your inbound and outbound call analytics applications. This can help your supervisors more readily identify potential customer issues, agent coaching opportunities, and call trends.

Monitor your calls at scale to track compliance with company policies or regulatory requirements. Build and train your own custom categories based on your specified criteria (e.g. words/phrases or conversation characteristics). For example, you can setup category labels to see what percentage of calls are upsells or account cancellation.

Give your agents access to the conversation details from past interactions. The turn-by-turn transcripts provide insights such as customer sentiment, detected issues and interruptions.

Accurately transcribe single-speaker audio commonly found in medical dictation use cases. Learn more »

Accurately transcribe multi-speaker conversational audio consisting of clinicians and/or patients alike. Learn more »

Transcribe speech to text across a diverse range of medical specialties. Learn more

Transcribe recorded medical audio files at scale with high concurrency. Learn more

Boost transcription accuracy by using custom vocabulary for potentially out-of-lexicon terminology. Learn more

Separate speech from different speakers within any mono-channel audio. Learn more »