Posted On: Sep 14, 2021

Amazon Transcribe is an automatic speech recognition service that you can use to add speech-to-text capability to your applications. Starting today, you can utilize Amazon Transcribe to automatically remove personal identifiable information (PII) from your streaming transcription results. Amazon Transcribe uses state-of-the-art machine learning technology to help identify sensitive information such as Social Security number, credit card/bank account information, and contact information (i.e. name, email address, phone number and mailing address). With this feature, companies can provide their contact center agents with valuable transcripts for on-going conversation while maintaining privacy standards. These transcripts can then be used to help supervisors extract real-time insights and identify calls that require attention.

You can configure Amazon Transcribe’s PII redaction feature to identify PII or identify and redact PII for each streaming session. This provides you with the option to highlight the identified sensitive information, or highlight and mask the PII data.

In addition, Amazon Transcribe now allows for granular PII categories. This gives you the flexibility to select the PII types you want to redact or identify from transcriptions. For example, you can protect your customers’ Social Security number or credit card details, but use other PII fields such as name, email and phone to create/update customer profiles in your CRM systems for marketing purposes. The following PII types are supported by Transcribe:  BANK_ACCOUNT_NUMBER, BANK_ROUTING, CREDIT_DEBIT_NUMBER, CREDIT_DEBIT_CVV, CREDIT_DEBIT_EXPIRY, PIN, EMAIL, ADDRESS, NAME, PHONE, SSN, and ALL.

PII redaction is available now for US English with both asynchronous and streaming transcription jobs. This feature is supported in the following AWS regions: US East (N. Virginia), US East (Ohio),US West (Oregon), Asia Pacific (Seoul), Asia Pacific (Sydney), Asia Pacific (Tokyo), Canada(Central), EU (Frankfurt), EU (Ireland), and EU (London). You will incur additional charges as described in Automatic content redaction pricing. To learn more, see the “Introducing PII identification and redaction in streaming transcriptions using Amazon Transcribe” post and Amazon Transcribe documentation.