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Sarvam AI Speech to Text API ✓

Speech to Text, perfected for India

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Speech To Text Indian Languages Multi Language Support
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Transcription Service Speaker-diarization Voice Analytics Transcription
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Verdict

A quick read before you dig into the full page.

Best if
Speech to Text, perfected for India
Skip if
Streaming API limited to WebSockets
Pick this when
Supports 22 Indian languages

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Overview

Sarvam AI's Speech to Text API offers seamless and accurate transcription of speech to text in 22 Indian languages, including but not limited to Hindi, Bengali, Tamil, Telugu, Gujarati, Kannada, Malayalam, Marathi, Punjabi, Odia, and English with an Indian accent.

It is powered by Sarvam AI's Saarika v2 model and supports speaker diarization, which is useful for identifying and labeling different speakers in audio.

This feature is suitable, for instance, in meeting transcriptions, interviews, and call center analytics. Moreover, the tool also supports seamless code-mixing, efficiently handling a switch between Hindi, English, and regional languages mid-sentence.

It also supports a plethora of audio formats including MP3, WAV, AAC, OGG, Opus, FLAC, M4A, AMR, WMA, and WebM. Capable of handling different acoustic conditions, Sarvam AI's API maintains its accuracy even in the presence of background noise, cross-talk,and poor connections.

To accommodate diverse needs, it offers real-time and batch processing capabilities with three types of APIs - REST API for synchronous processing of files under 30 seconds, Batch API for files up to 1 hour with speaker diarization and timestamps, and Streaming API for real-time transcription via WebSocket.

The API is designed to be developer-friendly with easy-to-integrate and scalable for enterprise applications.

Sarvam AI Speech to Text API website

Access & connections

Where you can use Sarvam AI Speech to Text API, and what it plugs into.

Platforms

Web

Integrations

MCP

API

Public API available

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Capabilities

What this tool accepts, produces, and is strongest at.

Input

  • API
  • Audio

Output

  • API
  • Text

Highlights

  • MCP

Supported features

  • Transcription
  • MCP
  • Speech API

Pros & cons

Pros

  • Supports 22 Indian languages
  • Handles Indian English accent
  • Speaker diarization feature
  • Efficient code-mixing
  • Supports multiple audio formats
  • Handles noisy acoustic conditions
  • Real-time and batch processing
  • REST, Batch, Streaming APIs
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  • Developer friendly
  • Scalable for enterprise applications
  • Ideal for call center analytics
  • Handy for meeting transcriptions
  • Useful for interview transcriptions
  • Accommodates synchronous processing
  • Facilitates asynchronous processing
  • WebSocket support
  • Maintains accuracy amid cross-talk
  • Copes with poor connections
  • Automatic language detection
  • Seamless transcription of code-mixed audio
  • Domain prompting for specialized vocabulary
  • < 250ms Median latency
  • Supports audio formatting
  • Number normalization feature
  • Translation and transliteration features
  • Preserves fillers and spoken numbers
  • Telephony-optimized for real call center audio
  • Supports subtitling and captioning
  • Suitable for education tech tutors and bots
  • Real-time transcription for live voice agents
  • Handles even with mid-sentence language switches
  • Plug & play integrations

Cons

  • Limited to Indian languages
  • Only supports 22 languages
  • No support for low-quality audios
  • Processing time for long audios
  • Lacks accuracy for regional dialects
  • Transcriptions not context-aware
  • Doesn't support large audio files
  • REST API only for short audios
Show 2 more
  • Streaming API limited to WebSockets
  • No pretrained model customization

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Releases 1

Initial release September 8, 2024 Current
Initial release of Sarvam AI Speech to Text API.

FAQ 12

What languages does Sarvam AI Speech to Text API support?
Sarvam AI Speech to Text API supports 22 Indian languages including Hindi, Bengali, Tamil, Telugu, Gujarati, Kannada, Malayalam, Marathi, Punjabi, Odia, and English with an Indian accent.
Is Sarvam AI Speech to Text API capable of speaker diarization?
Yes, Sarvam AI Speech to Text API is capable of speaker diarization, a functionality that enables the identification and labeling of different speakers in audio files.
How does Sarvam AI Speech to Text API handle code-mixing?
Sarvam AI Speech to Text API handles code-mixing by efficiently handling a transition between Hindi, English, and other regional languages mid-sentence.
What audio formats are supported by Sarvam AI Speech to Text API?
Sarvam AI Speech to Text API supports a variety of audio formats including MP3, WAV, AAC, OGG, Opus, FLAC, M4A, AMR, WMA, and WebM.
Can Sarvam AI Speech to Text API function effectively in noisy acoustic conditions?
Yes, Sarvam AI Speech to Text API can function effectively in noisy acoustic conditions, it's designed to maintain accuracy despite background noise, cross-talk, and poor connections.
What types of APIs does Sarvam AI Speech to Text provide?
Sarvam AI Speech to Text API provides three types of APIs - REST API for synchronous processing of files under 30 seconds, Batch API for files up to 1 hour, and Streaming API for real-time transcription via WebSocket.
How developer-friendly is Sarvam AI Speech to Text API?
Sarvam AI Speech to Text API is described as developer-friendly with easy-to-integrate capabilities, making it convenient for developers to incorporate into varied applications.
What processes does Sarvam AI employ for real-time transcription?
For real-time transcription, Sarvam AI employs the use of its Streaming API via WebSocket to deliver transcriptions as and when the audio is streamed.
Does Sarvam AI support batch processing?
Yes, Sarvam AI does support batch processing, This functionality is achieved through its Batch API that handles files up to 1 hour.
What is the role of Sarvam AI's Saarika v2 model in the APIs functionality?
Saarika v2 model powers the Sarvam AI Speech to Text API, enabling accurate transcription of speech to text in 22 Indian languages while supporting speaker diarization and code switching.
How is Sarvam AI's transcription service advantageous for call center analytics?
Sarvam AI's transcription service aids in call center analytics by transcribing call recording for further analysis, and simultaneous speaker diarization facilitates understanding of who said what during the conversation.
Can Sarvam AI Speech to Text API handle regional language switches mid-sentence?
Yes, Sarvam AI Speech to Text API can handle regional language switches mid-sentence, ensuring seamless transcription in mixed-language conversation scenarios.
Sarvam AI Speech to Text API
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