rumik silk and sarvam ai both generate speech for indian-language applications but they take different approaches to voice control and pricing.

sarvam ai builds speech and language models for indian languages. its voice models offer text to speech with preset voices and streaming for live conversations.

rumik silk is a family of speech models that powers rumik's text to speech and voice agents. developers can use the models directly through the silk api.

teams can use silk for live conversations or turn scripts into ai voice overs and e-learning narration.

how is rumik silk different from sarvam ai?

1. describe the voice

sarvam offers preset voice personas and a separate voice-cloning api. its standard tts request does not include a natural-language voice description.

silk's mulberry is a description-driven voice model. each request takes both the text to speak and a description of the speaker. the description can include age, accent, pace, and emotion:

description: warm indian english voice, early 30s, calm pace, conversational
text: your delivery is scheduled for friday. you can check the latest update in the app

description: warm indian english voice, early 30s, calm pace, conversational
text: your delivery is scheduled for friday. you can check the latest update in the app

2. add vocal events

sarvam supports expressive speech, but its current public tts api lists no explicit inline controls for placing a laugh, chuckle, or sigh within a line.

silk's expressive voice model, muga, accepts vocal events inside the script:

[happy] I spent ten minutes looking for my keys. <chuckle> They were in my hand

[happy] I spent ten minutes looking for my keys. <chuckle> They were in my hand

here, [happy] sets the tone and <chuckle> places a chuckle between the two sentences.

3. choose unlimited usage

sarvam's public hosted-tts plans charge by generated usage. buying more credits or choosing a discounted rate still leaves the bill tied to the amount of text synthesized.

silk's unlimited usage plans charge a fixed monthly price for a set number of simultaneous generations. you can generate as much speech as you need within that limit without paying extra per character.

how rumik silk and sarvam ai compare

sarvam and rumik silk both offer code-switching, text normalization, real-time streaming, and voice agents. silk adds voice descriptions inside the tts request, explicit inline vocal events, and unlimited usage plans. sarvam offers voice cloning through a separate api.

how much do rumik silk and sarvam ai cost?

sarvam pricing

with sarvam, you buy credits and use them to generate speech. pay as you go has the standard rates, while the pro, growth, and business plans offer lower rates per character.

all prices below are per 1,000 characters.

i'd start with pay as you go while testing. once you know your usage, compare the cost of upgrading with what the lower character rate would save.

rumik silk pricing

silk gives you a choice between paying for submitted characters and paying a fixed monthly price. on pay as you go, mulberry costs ₹0.50 per 1,000 characters and muga costs ₹0.99.

for a fixed monthly bill, silk also offers unlimited usage. you choose how many generations need to run at the same time:

the monthly price stays the same as you generate more speech, provided you stay within the plan's simultaneous-generation limit. teams that need more than eight can contact rumik for a larger plan.

when should you choose rumik silk or sarvam ai?

choose rumik silk if

• you want to describe the speaker inside each tts request.

• your scripts need explicit laughs, chuckles, or sighs.

• you want lower pay-as-you-go character rates or fixed monthly pricing for steady usage.

choose sarvam ai if

• you need to clone a specific voice and can work with its beta api.

• you prefer choosing from an existing voice-persona catalog.

you can try silk in the rumik playground. paste a few lines from your own script and hear how it sounds.