Voice & Speech

Amazon Transcribe

AWS automatic speech recognition service for audio and video files.

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Speech-to-Text API AWS Enterprise
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About Amazon Transcribe

Amazon Transcribe is an advanced, fully managed automatic speech recognition (ASR) service powered by machine learning, designed to convert audio and video into highly accurate, readable text. It is built for developers and enterprises looking to integrate scalable speech-to-text capabilities into their applications without needing deep AI expertise.

The service goes beyond simple transcription by offering powerful features like speaker diarization (distinguishing up to 10 speakers), automatic punctuation, and the ability to build custom language models tailored to specific industry jargon. It also features automatic Personally Identifiable Information (PII) redaction to protect sensitive customer data. Alongside the standard offering, Amazon provides specialized versions: Transcribe Medical for HIPAA-eligible clinical documentation and Transcribe Call Analytics for mining customer service calls for sentiment, interruptions, and talk-time ratios.

Frequently Asked Questions

What is Amazon Transcribe used for?
It is used by businesses and developers to add speech-to-text capabilities to applications. Common use cases include transcribing customer service calls for analytics, subtitling media and video content, creating searchable archives of meetings, and processing clinical medical documentation.
How much does Amazon Transcribe cost?
Amazon Transcribe uses a pay-as-you-go model billed in one-second increments (with a 15-second minimum per request). Standard batch and streaming transcription costs $0.024 per minute for the first 250,000 minutes per month, with significant volume discounts at higher tiers. Specialized services like Medical and Call Analytics have different, slightly higher rates.
Is there a free tier available?
Yes, the AWS Free Tier includes 60 minutes of standard audio transcription per month for the first 12 months. This allows developers to test the service and build proof-of-concept applications before incurring charges.

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