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Sarvam AI Speech to Text

#21 of 46 in Transcription Software

Sarvam AI Speech to Text: A paid developer-focused transcription API with strong Indian-language and code-mixed support. Ranked #21 of 46 in Transcription Software by our editors (7.0/10); pricing: Paid; best for indian-language and code-mixed transcription.

7.0/10Editor score
Sarvam AI Speech to Text7.0 Visit Sarvam AI

At a glance

  • Editor score
    7.0 / 10
  • Pricing
    Paid
  • Best for
    Indian-language and code-mixed transcription
  • Free plan
    No
  • Paid from
    ₹30/unit usage-based
  • Languages supported
    23 languages
  • Facts checked
    20 Sep 2026
Sarvam AI Speech to Text screenshot
  • Where it wins

    • Supports 23 languages with automatic language detection
    • Offers real-time, streaming, and batch transcription
    • Includes diarization, timestamps, and code-mixed output
  • Where it doesn't

    • No free plan, though free signup credits are available
    • Batch processing is limited to audio files up to 2 hours
    • Access is centered on REST, WebSocket, and developer integrations

Our verdict on Sarvam AI Speech to Text

Sarvam AI Speech to Text is a developer-focused service for converting recorded or streaming audio into text. It is suited to enterprises, applications, and teams processing Indian-language speech, code-mixed audio, or Indian-accented English. Access is provided through REST, batch, and WebSocket APIs, with output modes for transcription, English translation, transliteration, verbatim text, and code-mixed text.

Pricing is organized into Pay as you go and Enterprise plans. Pay as you go is priced at ₹30 per hour for real-time, streaming, and batch speech-to-text, with usage billed from API credits and free credits available on signup. Enterprise uses custom pricing and adds custom limits, throughput, support, and volume discounts. There is no free plan, so teams should evaluate expected API usage before choosing it for ongoing production workflows.

Its feature set is particularly focused on structured transcription output. Speaker diarization adds speaker labels, while chunk-level timestamps support time-aligned text. Keyterm prompting can help with domain-specific terminology, and batch processing handles audio files up to 2 hours. Developers can connect through Python and Node.js SDKs, Pipecat, and LiveKit. Choose Sarvam AI Speech to Text when Indian-language coverage, code-mixed output, streaming, or diarization is central to the workflow. Teams seeking a non-API product, a free plan, or batch processing beyond two hours should consider an alternative.

Your product? Our editors can test Sarvam AI Speech to Text in depth and publish a review, labelled as paid · from $149/mo →

Sarvam AI Speech to Text pricing

Plans Paid No free plan — trial or paid only. Prices checked 20 Sep 2026.
See plans on sarvam.ai

All 5 Sarvam AI Speech to Text plans and prices →

Sarvam AI Speech to Text fact sheet

Free planNo
Paid from₹30/unit usage-based
Languages supported23 languages
Included minutesNot verified
Speaker identificationYes
Timestamp supportYes
Export formatsNot verified
API accessYes
DeploymentCloud, Self-hosted
PlatformsWeb
SupportEmail, Community, Docs
Built forSmall business, Mid-market, Enterprise (editorial estimate)
Integrations2 integrations: Pipecat, LiveKit
PricingPaid (source)
Websitesarvam.ai
Facts checked20 Sep 2026

Sarvam AI Speech to Text integrations

Sarvam AI Speech to Text lists 2 integrations on its own site.

  • Pipecat
  • LiveKit

Alternatives to Sarvam AI Speech to Text

See all Sarvam AI Speech to Text alternatives →

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Featured on iTechGuides

Featured on iTechGuides — Sarvam AI Speech to Text 7.0/10

Sarvam AI Speech to Text is listed in our Transcription Software directory. Add the badge to your site — it links back to this page.

<a href="https://www.itechguides.com/products/sarvam-ai-speech-to-text/"><img src="https://www.itechguides.com/best/badge/sarvam-ai-speech-to-text.svg" alt="Featured on iTechGuides" width="230" height="46"></a>

Reviewed by iTechGuides Editors · Editorial team · Updated Oct 2026

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