### Streaming transcription

1. [Introducing PII identification and redaction in streaming transcriptions using Amazon Transcribe](https://aws.amazon.com/blogs/machine-learning/introducing-pii-identification-and-redaction-in-streaming-transcriptions-using-amazon-transcribe/)

This post demostrates that Amazon Transcribe can be used to help identify and redact PII in streaming transcriptions. This feature can streamline and simplify customer data management across industries such as financial services, government, retail, and much more.


2. [Improve the streaming transcription experience with Amazon Transcribe partial results stabilization](https://aws.amazon.com/blogs/machine-learning/amazon-transcribe-now-supports-partial-results-stabilization-for-streaming-audio/)

This post walks you through the benefits of this feature and how to enable it via the Amazon Transcribe console or the API.

3. [Amazon Transcribe streaming adds support for Japanese, Korean, and Brazilian Portuguese](https://aws.amazon.com/blogs/machine-learning/amazon-transcribe-streaming-adds-support-for-japanese-korean-and-brazilian-portuguese/)

Our customers are using Amazon Transcribe to capture customer calls in real time to better assist agents, improve call resolution times, generate content highlights on the fly, and more. This post shows few stories of their streaming audio use cases.

4. [Using speaker diarization for streaming transcription with Amazon Transcribe and Amazon Transcribe Medical](https://aws.amazon.com/blogs/machine-learning/using-speaker-diarization-for-streaming-transcription-with-amazon-transcribe-and-amazon-transcribe-medical/)

This post uses an example application to show you how to use the AWS SDK for Java to start a stream that enables you to stream your conversational audio from your microphone to Amazon Transcribe, and receive transcripts in real time with speaker labeling. The solution is a Java application that you can use to transcribe streaming audio from multiple speakers in real time. The application labels each speaker in the transcription results, which can be exported.