Tanod mlpeek Text-to-Speech

Name: Tanod mlpeek Text-to-Speech
Price: 0.005 USD

x402

Tanod mlpeek Text-to-Speech is a paid API for AI agents from tanod.dev, paid per call via x402, $0.005/call, status unknown (last checked 2026-10-29).

Converts text to spoken audio using Kokoro TTS, returning MP3/WAV/OGG audio in base64 or as a download URL

Price / call$0.005

Seller volume →—

Success—

StatusUnknown

How this service works

Text to speech API: offline speech in 41 voices and 6 languages (English, Spanish, French, Hindi, Italian, Portuguese), MP3, WAV or Ogg audio (Kokoro-82M, CPU) (mlpeek, Tanod). Use when an agent must turn text into spoken audio in English, Spanish, French, Hindi, Italian or Portuguese.

Output

Returns a JSON object containing the audio encoded as base64 (default) or a temporary download URL valid for 24 hours, along with metadata: voice used, engine name (kokoro-82m offline), format, duration in seconds, sample rate (24000 Hz), byte count, character count, speaking speed, and content type.

Example use cases

Multilingual voiceover for app

“Generate a spoken French audio clip of this sentence using the ff_siwis voice at normal speed, and return it as an MP3 file: 'Bienvenue sur notre application, nous sommes ravis de vous accueillir.'”

Podcast intro narration

“Can you synthesize this script as audio using the bm_george UK English male voice at 0.9 speed, in MP3 format, and give me a download URL instead of base64 so it doesn't clog up the conversation: 'Today on Tech Roundup, we cover the latest in AI and developer tools.'”

Accessibility read-aloud feature

“Read this Hindi text aloud using the hf_alpha voice at 1.0 speed and return the audio as a base64 WAV: 'नमस्ते, हमारी सेवा में आपका स्वागत है।'”

Technical details

Endpoint

POSThttps://tanod.dev/v1/audio/speak?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need offline, pay-per-call TTS synthesis with a wide selection of voices across six languages (US English, UK English, Spanish, French, Hindi, Italian, Brazilian Portuguese) and flexible output modes (base64 inline or 24-hour URL). Prefer it over cloud-dependent TTS services when latency and privacy matter, or when you need tight per-call cost control at $0.005 USDC with no signup required.

Side effects

Text exceeds 2000 character limit — request rejected
Speed outside 0.5–2.0 range — validation error
Unsupported voice identifier provided — enum validation error
Text not written in the voice's expected language — degraded or garbled output
Invalid format or output enum value — schema error
Service temporarily unavailable — HTTP 5xx
Payment not processed — HTTP 402 if x402 payment fails

Input

Schema · Request body

Field	Type	Description
text	string	Text to speak, 1 to 2,000 characters, in the language of the chosen voice (English, Spanish, French, Hindi, Italian or Brazilian Portuguese).
speed	number	Speaking rate, 0.5 to 2.0 (1.0 is normal).
voice	string	Voice (41): the first letter is the language: a US English (af_heart default, af_bella, am_adam), b UK English (bf_emma, bm_george), e Spanish (ef_dora), f French (ff_siwis), h Hindi (hf_alpha, hm_omega), i Italian (if_sara, im_nicola), p Brazilian Portuguese (pf_dora, pm_alex); f = female, m = male. Write the text in the voice's language.
format	string	Audio format: mp3, wav (16-bit PCM) or ogg (Opus).
output	string	base64 (default): the file comes back inline as base64. url: the file is stored for 24 hours and the reply carries a download link (url, expires_at, bytes, content_type, sha256) instead of the base64, which keeps the file out of your context window.

Output

Schema · Response

{
  "type": "json",
  "example": {
    "bytes": 21504,
    "chars": 22,
    "speed": 1,
    "voice": "af_heart",
    "engine": "kokoro-82m (offline)",
    "format": "mp3",
    "duration_s": 1.34,
    "data_base64": "//uQxAAAAAAAAAAAAAAAAAAAAAAAWGluZwAAAA8AAAAFAAAEEAA...",
    "sample_rate": 24000,
    "content_type": "audio/mpeg"
  }
}

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