Tanod Audio Speech Translation

x402

Tanod Audio Speech Translation is a paid API for AI agents from tanod.dev, paid per call via x402, $0.02/call, status unknown (last checked 2026-10-16).

Transcribes speech from an audio file and translates it into a target language, optionally generating spoken audio of the translation.

Price / call$0.02

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StatusUnknown

How this service works

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Output

Returns a JSON object containing the full translated text, detected source language, language probability, per-segment timestamps, operation timings, and optionally a base64-encoded or URL-linked audio file of the translation spoken aloud. Includes ASR and translation engine metadata.

Example use cases

Translate foreign interview recording

“I have a recorded interview in Japanese at https://cdn.example.com/interview.mp3 — please transcribe and translate it into English so I can read what was said.”

Multilingual podcast clip translation

“Here's a podcast clip in Portuguese: https://media.example.com/podcast_pt.wav — translate it to Spanish and give me the spoken translation in the ef_dora voice as an mp3.”

Meeting notes from foreign language call

“I have an audio recording from our German-language team call at https://files.example.com/meeting_de.ogg — translate everything said into English and give me the full translated transcript with timestamps.”

Technical details

Endpoint

POSThttps://tanod.dev/v1/audio/translate-speech?utm_source=zero.xyz

When to prefer

Choose this endpoint when you need to both transcribe speech from an audio file AND translate it to another language in a single call. It supports 15 target languages, provides per-segment timestamps, detects source language automatically, and optionally synthesizes the translated text as spoken audio using Kokoro TTS voices — making it ideal for multilingual audio workflows without requiring a separate STT + translation + TTS pipeline.

Side effects

Audio file exceeds 25 MB limit — rejected
Private, internal, or IP-literal host URLs refused
Unsupported target language specified — enum validation error
speak:true used with unsupported target language (only en/es/fr/hi/it/pt supported for TTS)
Audio too noisy or low quality — low language_probability and poor transcript
Translation truncated if spoken output exceeds 800 characters or 45 seconds
URL unreachable or returns non-audio content — fetch error

Input

Schema · Request body

Field	Type	Description
url	—	Public http(s) URL of the audio file (at most 25 MB; private, internal and IP-literal hosts are refused); or use file_base64.
speak	boolean	true adds `audio`, the translation spoken (Kokoro). Targets en, es, fr, hi, it and pt only; the clip is limited to 45 seconds and at most 800 characters are spoken.
voice	—	With speak: a voice for the target language (default af_heart en, ef_dora es, ff_siwis fr, hf_alpha hi, if_sara it, pf_dora pt).
format	string	With speak: mp3, wav or ogg.
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.
target	string	Language of the translation: en (one Whisper pass) or es, fr, de, pt, it, nl, ru, zh, ja, ko, ar, hi, id, tl (Whisper to English, then English to the target).
language	—	Optional spoken language as an ISO 639-1 code. Default: detected.
file_base64	—	The audio file as base64 (at most 25 MB decoded); or use url. At most 2 minutes (45 seconds with speak).
include_transcript	boolean	true adds `transcript` in the spoken language with a second Whisper pass (about doubles the speech-to-text time). English audio always returns it.

Output

Schema · Response

{
  "type": "json",
  "example": {
    "audio": null,
    "engine": {
      "asr": {
        "id": "faster-whisper-base",
        "source": "Systran/faster-whisper-base",
        "compute": "int8",
        "revision": "ebe41f70d5b6dfa9166e2c581c45c9c0cfc57b66"
      },
      "translate": "argos-translate (offline)"
    },
    "target": "fr",
    "duration": 10.7,
    "segments": [
      {
        "end": 4.4,
        "text": "Bonjour, aujourd'hui je veux expliquer comment fonctionne notre service de traduction.",
        "start": 0
      },
      {
        "end": 10.7,
        "text": "D'abord, vous envoyez un fichier audio, puis le système entend et écrit ce qu'il dit.",
        "start": 4.4
      }
    ],
    "operation": "audio-translate-speech",
    "timings_s": {
      "total": 1.94,
      "decode": 0.04,
      "translate": 0.25,
      "speech_to_text": 1.65
    },
    "truncated": false,
    "transcript": null,
    "input_bytes": 879308,
    "translation": "Bonjour, aujourd'hui je veux expliquer comment fonctionne notre service de traduction. D'abord, vous envoyez un fichier audio, puis le système entend et écrit ce qu'il dit.",
    "same_language": false,
    "source_language": "es",
    "speech_truncated": false,
    "untrusted_content": true,
    "language_probability": 0.9915
  }
}

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