rumik silk vs fish audio: an in-depth text-to-speech comparison

rumik silk vs fish audio: an in-depth text-to-speech comparison

rumik silk vs fish audio: an in-depth text-to-speech comparison

published

published

Oct 10, 2026

Oct 10, 2026

Oct 10, 2026

rumik silk and fish audio both generate speech for applications, live conversations, and narrated content. they differ in how you create voices, direct their delivery, and pay for generation.

fish audio builds speech tools for developers and creators. it offers text to speech, voice cloning, voice design, and inline controls for emotion and delivery.

rumik silk is a family of speech models available through the silk api. its models power rumik's text to speech, letting teams describe a voice alongside the text they want spoken. teams use silk for conversational applications, video voice overs, and e-learning narration.

how is rumik silk different from fish audio?

  1. get audio in phone-call formats

fish audio’s native tts api offers wav, pcm, mp3, and opus, including 8 khz wav or pcm for telephony. if your gateway requires mu-law or a-law, those outputs need conversion in your application or through an integration.

silk supports wav, pcm, mp3, and opus, alongside 8 khz g.711 mu-law and a-law. you can request mu-law or a-law directly through its tts api and websocket when your phone gateway needs those encodings.

  1. handle indian amounts, dates, and ids

silk’s text normalization includes explicit rules for indian number formats, day-first dates, and identifiers. Rs 2,45,600 becomes “two lakh forty five thousand six hundred rupees,” while 09/03/2025 is read as ninth march, rather than third september.

you can also put an identifier in double quotes to preserve its individual digits. "0071" is read as “zero zero seven one.”

  1. choose unlimited tts usage

fish audio’s paid s2 api charges by utf-8 input bytes. its published standard pricing does not list an equivalent fixed monthly unlimited production plan.

silk offers unlimited usage plans for a fixed monthly price. you choose how many requests need to run at the same time, and generating more speech does not add a per-character charge.

for teams generating speech regularly, silk’s monthly plans keep the generation bill fixed within the selected simultaneous-request capacity.

how rumik silk and fish audio compare

fish audio lets you create a voice from a description or clone one from a recording. silk also supports speaker descriptions, with direct phone-call audio formats and fixed monthly unlimited usage as additional options.

feature

rumik silk

fish audio

speaker descriptions

✓

✓

code-switching

✓

✓

inline vocal events

✓

✓

real-time streaming

✓

✓

text normalization

✓

✓

direct mu-law and a-law output

✓

✕

pay-as-you-go pricing

✓

✓

unlimited paid tts plans

✓

✕

voice cloning

✕

✓

how much do rumik silk and fish audio cost?

fish audio pricing

fish audio’s tts api uses pay-as-you-go pricing based on utf-8 input bytes. api access has no required subscription fee or monthly minimum.

model

price per million utf-8 input bytes

s2.1 pro

$15

s2 pro

$15

s2.1 pro free

$0

bytes and characters are different units, so the paid rate should not be read as $15 per million characters.

voice design is billed separately at $0.01 per successful request, regardless of how many candidates that request returns.

rumik silk pricing

on pay as you go, mulberry costs $0.005 per 1,000 characters and muga costs $0.010 per 1,000 characters. silk also offers unlimited monthly plans, with prices based on how many requests can run at once:

simultaneous requests

monthly price

1

$199

2

$399

4

$799

8

$1,599

generating more speech does not add a per-character charge on these plans. the selected capacity is shared across the account, including its models and agents. teams needing more than eight simultaneous requests can contact rumik for a larger plan.

when should you choose rumik silk or fish audio?

choose rumik silk if

  • you produce narration or spoken replies regularly and want a fixed monthly bill as the amount of speech grows, within your plan’s simultaneous-request limit.

  • you’re building for indian-language audiences and need regional-language narration.

choose fish audio if

  • you need to clone a particular speaker’s voice from a recording.

  • you want to generate multi-speaker dialogue in a single request using its s2 or drama 3 models.

you can try silk in the playground with a few lines from your own application. include the amounts, dates, and ids your users will actually hear.

frequently asked questions

frequently asked questions

frequently asked questions

rumik silk offers unlimited paid tts plans with a fixed monthly price and a limit on simultaneous requests. fish audio’s paid s2 api charges by utf-8 input bytes, with no equivalent standard paid unlimited plan.
both provide wav, pcm, mp3, and opus. rumik silk also returns raw 8 khz g.711 mu-law and a-law directly through its tts api and websocket. fish audio’s native tts api does not offer those two g.711 output formats, so a phone setup requiring them needs conversion or an integration that handles it.
yes, if your agent has a separate text-to-speech layer. you can replace that layer with silk while keeping your speech recognition and language model. you’ll need to update the integration and voice settings.
yes. both support code-switching between supported languages within a sentence. rumik silk lets you send mixed-language text in a single request and generate it as one spoken line.
with silk’s mulberry model, use the same preset speaker or reuse the same voice description for each generation. keep the accent, age, and speaking pace in your description unchanged, along with the model and voice settings, to help maintain a consistent voice as the spoken text changes.
yes. rumik silk can create video voice overs and e-learning narration from longer text. you can adjust the voice and delivery to suit the content and regenerate individual sections when the text changes.

explore other comparisons

explore other comparisons

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