Automatic speech recognition service

  • File format should be FLAC, MP3, MP4, or WAV
  • File size should be max 1 GB
  • Easily get transcripted text document from audio.
  • Support for a Wide Range of Use Cases
  • Custom Vocabulary
  • Recognize Multiple Speakers
  • Channel Identification
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We Provide Best Key Features and Use Cases

  Channel Identification

Amazon Transcribe is able to process audio and video where each speaker is recorded on different channels. Contact centers stand to benefit significantly by submitting a single audio file to Amazon Transcribe, which will identify each channel and produce a single transcript with annotated by channel labels.

  Support for a Wide Range of Use Cases

Amazon Transcribe is designed to provide accurate and automated transcripts for a wide range of audio quality. You can generate subtitles for any video or audio files, and even transcribe low quality telephony recordings such as customer service calls.

  Custom Vocabulary

We Transcribe gives you the ability to expand and customize the speech recognition vocabulary. You can add new words to the base vocabulary and generate highly-accurate transcriptions specific to your use case, such as product names, domain-specific terminology, or names of individuals.

  Cataloging Audio Archives

The service enables you to transcribe audio and video assets into fully searchable archives for compliance monitoring and risk management. Customers can use Amazon Transcribe to convert audio to text, and use Amazon Elasticsearch service to index and perform text-based search across their audio/video library.

  Recognize Multiple Speakers

We Transcribe is able to recognize when the speaker changes and attribute the transcribed text appropriately. This can significantly reduce the amount of work needed to transcribe audio with multiple speakers like telephone calls, meetings, and television shows.

  Easy-to-Read Transcriptions

Most speech recognition systems output a string of text without punctuation. Amazon Transcribe uses deep learning to add punctuation and formatting automatically, so that the output is more intelligible and can be used without any further editing.

  Improving Customer Service

By converting audio input into text, Amazon Transcribe lets you build text analytics applications that can search and analyze voice input. Customer contact centers can use Amazon Transcribe to transcribe voice-based interactions, and mine the data for insights using other AWS services like Amazon Comprehend to extract meaning and intent from conversations.

  Captioning/Subtitling Workflows

Amazon Transcribe can help content generation and media distributors improve reach and access by automatically generating time-stamped subtitles that can be displayed along with the video content.

  Timestamp Generation

We Transcribe returns a timestamp for each word, so that you can easily locate the audio in the original recording by searching for the text.


PRICING

  • <=100 second
  • 1$*
  • - Audio to text
    - Video to text
    - Video to Title
  • <=1000 second
  • 3$ max
  • 1$ + 0.0023$/second for next 900 seconds = 3$ max
  • - Audio to text
    - Video to text
    - Video to Title
  • <=10000 second
  • 12$ Max
  • 3$ + 0.001$/second for next 9000 seconds = 12$ Max
  • - Audio to text
    - Video to text
    - Video to Title
  • <=100000 second
  • 42$MAx
  • 12 +0.00034$/second for next 90000 seconds = 42$ Max
  • - Audio to text
    - Video to text
    - Video to Title

For the audio/video with length more than 100000 seconds will be 42$ for 10000 seconds + 0.0003$/second


Automatic speech recognition

Vishwa Infoways Transcribe is an automatic speech recognition (ASR) service that makes it easy for developers to add speech-to-text capability to their applications. Using the Vishwa Infoways Transcribe API, you can analyze audio files stored in Vishwa Infoways and have the service return a text file of the transcribed speech.

Vishwa Infoways Transcribe can be used for lots of common applications, including the transcription of customer service calls and generating subtitles on audio and video content. The service can transcribe audio files stored in common formats, like WAV and MP3, with time stamps for every word so that you can easily locate the audio in the original source by searching for the text. Vishwa Infoways Transcribe is continually learning and improving to keep pace with the evolution of language.

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