Amazon Transcribe

  • A fully managed automatic speech recognition (ASR) service.
  • Converts speech into text.
  • It supports a wide variety of audio coding formats such as WAV, MP3, MP4, FLAC, AMR, AMR-WB, Ogg, and WebM.
  • It can process batch and streaming transcriptions.

Common Use Cases

  • Transcribing customer calls
  • Meeting transcription
  • Closed captioning
  • Generating metadata to create a searchable archive
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  • A confidence score is between 0 and 100, indicating the probability that a given prediction is correct.
  • Low-fidelity (lo-fi) is a term used to describe audio recordings that exhibit poor sound quality. The term high-fidelity refers to high-quality audio recordings.
  • Automatic content redaction
    • A process that censors sensitive information within the transcript output.
    • Replaces redacted information with the [PII] tag.


  • Custom Vocabulary
    • Helps improve accuracy for content that has business-specific terms such as medical or legal terms.
  • Vocabulary Filtering 
    • Allows you to create a list of words to filter from the transcript.
    • Useful for blocking profanities.
  • Multiple speaker recognition
    • Supports identifying up to a maximum of ten speakers.
  • Capable of transcribing low-fidelity and high-fidelity audio files.
  • Uses machine learning to provide punctuation and grammatical formatting, making the transcription output immediately usable.
  • It adds timestamps to every word, making it easier to use for movie subtitles.
  • Includes confidence scores at each result so you can easily pinpoint the sections where further editing is required.


  • Charges batch and streaming transcription jobs at a monthly rate of $0.0004 per second.
  • Billed in 1-second increments
  • Minimum request charge of 15 seconds.


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