rumik silk and elevenlabs solve the same basic problem, but they are built around different speech workflows.

elevenlabs is a voice ai company that builds speech and audio tools for developers, creators, and businesses.

rumik is building the most human ai, starting with how computers speak and hold a conversation. silk is rumik's family of speech models. the models power rumik's text to speech and voice agents, and are available directly through the silk api.

across the silk family, the voice models support 22 languages and accents, code-switching, real-time streaming, voice descriptions, and inline direction for tone and vocal events. teams can use it for live conversations or turn scripts into ai voice overs, youtube narration, and e-learning audio.

how is rumik silk different from elevenlabs?

1. code-switching works inside a single request

code-switching happens when a speaker moves between languages in the same sentence or conversation. in india, hindi and english are a common example. a support message might read:

"आपका order 13 october को deliver होगा."

both the language switch and the date have to survive the same request.

elevenlabs supports code-switching, but its website guidance recommends avoiding multiple languages in one prompt because automatic language detection can become confused.

silk handles this kind of code-switching when the hindi is written in devanagari, romanised text, or a mix of the two. its text normalizer handles numbers, money, percentages, times, dates, and ids before synthesis.

2. mulberry takes the voice description in the tts request

mulberry is silk's description-driven voice model. each tts request contains both the text to speak and a natural-language description of the voice. the description can cover age, accent, pace, emotion, and role. for example, the following request tells mulberry what the speaker should sound like and how the line should be delivered:

description: warm indian english voice, early 30s, calm pace, conversational
text: your payment has gone through. the receipt is on its way

description: warm indian english voice, early 30s, calm pace, conversational
text: your payment has gone through. the receipt is on its way

elevenlabs does this via voice design which is a separate workflow. you generate previews, choose one, save it, and then send its voice id with later tts requests.

3. pay as you go, or choose unlimited usage

elevenlabs charges for text to speech based on usage. a subscription includes a monthly credit allowance, and prepaid pay-as-you-go credits keep the api running after those credits are used.

rumik silk offers pay-as-you-go pricing and unlimited usage plans with one, two, four, or eight concurrent slots. on these plans, the amount of text generated does not increase the bill. the price is based on how many generations need to run at the same time.

for high tts volume, silk's unlimited plans can be more predictable. a team can choose the concurrency it needs without estimating a monthly character allowance or buying more credits as usage grows.

how rumik silk and elevenlabs compare

rumik silk and elevenlabs overlap on the core features most teams need, including code-switching, text normalization, real-time streaming, voice agents, and pay-as-you-go pricing. the main differences are in voice creation and pricing. silk accepts the voice description inside the tts request and offers unlimited usage plans, while elevenlabs offers voice cloning and a reusable voice library.

how much do rumik silk and elevenlabs cost?

elevenlabs prices text to speech by usage. rumik silk offers the same option, alongside monthly plans based on concurrent capacity. with these plans, the bill is based on how many generations can run at the same time rather than the total number of characters generated.

elevenlabs pricing

elevenlabs api pricing depends on the model used for each generation. v4, v3, and multilingual v2 cost $0.08 per 1,000 characters. the lower-latency v4 turbo, v3 conversational, and flash or turbo models cost $0.04 per 1,000 characters.

subscriptions start at $6 per month and include a character allowance. when that allowance runs out, prepaid pay-as-you-go funds can cover more generations. these funds can also be used without a monthly subscription, but they expire after 12 months.

rumik silk pricing

silk pay as you go costs $0.005 per 1,000 characters for mulberry and $0.010 for muga. pay-as-you-go accounts include four concurrent slots shared across text to speech and voice-agents.

silk also offers monthly capacity plans. instead of paying for each character, a team chooses how many generations it needs to run at the same time:

anyone who needs more than eight concurrent slots can contact rumik sales for a larger plan.

the amount of text generated does not increase the monthly price. if every slot is already in use, silk returns a concurrency-limit error. this makes the capacity plans easier to predict for products with steady, high-volume speech generation.

when should you choose rumik silk or elevenlabs?

the better fit depends on who your product serves, how quickly it needs to respond, how your team creates voices, and how much speech it expects to generate.

choose elevenlabs if

• your product needs broader global language and accent coverage.

• you need to clone a specific voice or choose from a reusable voice library.

• your workflow extends beyond text to speech into dubbing, studio editing, and other creator tools.

choose rumik silk if

• your product is built for indian languages, english, or code-switching between them.

• you need low-latency streaming for real-time voice agents and live conversations.

• you want to describe the speaker inside each tts request instead of creating and saving a voice first.

• you want lower pay-as-you-go tts rates or unlimited usage priced by concurrent capacity.

if silk fits your use case, try rumik silk with a script your users will actually hear. when you are ready to integrate it, follow the silk api documentation to run the same text inside your product.