Reverie API Documentation
  • Reverie APIs
  • Reference
    • Localization API
      • Setup
      • API Reference
      • Supported Languages
      • Supported Domains
      • API Messages
    • Transliteration API
      • Setup
      • API Reference
      • Language Codes
      • Supporting Domains
      • API Messages
    • Text to Speech API
      • Setup
      • API Reference
      • SSML (Speech Synthesis Markup Language)
      • Phoneme Reference
      • API Default Behaviour
      • Supporting Speaker Code
      • Supporting Sampling Rate
      • Supporting Audio Format
      • API Messages
    • Speech to Text | Streaming API
      • Setup
      • API Reference
      • Language Codes
      • Supporting Audio Format
      • Supporting Domains
      • API Messages
  • Speech to Text | File API
    • Setup
    • API Reference
    • Language Codes
    • Supporting Audio Format
    • API Messages
  • Speech to Text | Batch API
    • Setup
    • API Reference
    • Language Codes
    • Sample Request Responses
    • Supporting Audio Format
  • Language Identification API
    • Sample Code
    • API Reference
    • Language Codes
  • Reverie Products
    • Swalekh
    • Vachak
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  1. Reference
  2. Speech to Text | Streaming API

Supporting Domains

Domain Name
Description

generic

The model trained on continuously transcribing the speech irrespective of an industry type.

bfsi

Specially trained to transcribe audio related to banking & financial terminologies.

ecomm

Specially trained to transcribe audio related to E-commerce/FMCG terminologies.

healthcare

Specially trained to transcribe healthcare/medical related terminologies.

voice-search

Specially trained to transcribe voice commands with smart formatting.

alphanumeric

Specially trained to transcribe alphanumeric data.

names

Specially trained to transcribe person names.

address

Specially trained to transcribe addresses.

language

Specially trained to transcribe the different versions of a language. For example, 'bengali', 'bangla'

yes-no

Specially trained to transcribe the different versions of yes/no.

For example, 'Haan', 'Yes', 'Hanji'

email

Specially trained to transcribe email ids.

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Last updated 2 months ago