kotoba-technologies/kotoba-sts/v1/speech-to-speech
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Translate one audio clip and return the translated text and speech. Runs the same session as a streaming client against this app's /v1/realtime_voice WebSocket, so the clip is processed in real time (a 30 s clip takes about 30 s, plus the time the model needs to finish speaking). This route is bounded for demos. Production integrations use the WebSocket endpoint, documented at https://fal.ai/models/kotoba-technologies/kotoba-sts/v1/realtime_voice/api. This demo route may change or be removed without notice.
The client provides a convenient way to interact with the model API.
npm install --save @fal-ai/clientThe @fal-ai/serverless-client package has been deprecated in favor of @fal-ai/client. Install the new package and update your imports — see client setup.
Set FAL_KEY as an environment variable in your runtime.
export FAL_KEY="YOUR_API_KEY"The client API handles the API submit protocol. It will handle the request status updates and return the result when the request is completed.
import { fal } from "@fal-ai/client";
const result = await fal.subscribe("kotoba-technologies/kotoba-sts/v1/speech-to-speech", {
input: {
audio_url: "",
source_language: "ja",
target_language: "en"
},
logs: true,
onQueueUpdate: (update) => {
if (update.status === "IN_PROGRESS") {
update.logs.map((log) => log.message).forEach(console.log);
}
},
});
console.log(result.data);
console.log(result.requestId);The API uses an API Key for authentication. It is recommended you set the FAL_KEY environment variable in your runtime when possible.
import { fal } from "@fal-ai/client";
fal.config({
credentials: "YOUR_FAL_KEY"
});When running code on the client-side (e.g. in a browser, mobile app or GUI applications), make sure to not expose your FAL_KEY. Instead, use a server-side proxy to make requests to the API. For more information, check out our server-side integration guide.
The client API provides a convenient way to submit requests to the model.
import { fal } from "@fal-ai/client";
const { request_id } = await fal.queue.submit("kotoba-technologies/kotoba-sts/v1/speech-to-speech", {
input: {
audio_url: "",
source_language: "ja",
target_language: "en"
},
webhookUrl: "https://optional.webhook.url/for/results",
});You can fetch the status of a request to check if it is completed or still in progress.
import { fal } from "@fal-ai/client";
const status = await fal.queue.status("kotoba-technologies/kotoba-sts/v1/speech-to-speech", {
requestId: "764cabcf-b745-4b3e-ae38-1200304cf45b",
logs: true,
});Once the request is completed, you can fetch the result. See the Output Schema for the expected result format.
import { fal } from "@fal-ai/client";
const result = await fal.queue.result("kotoba-technologies/kotoba-sts/v1/speech-to-speech", {
requestId: "764cabcf-b745-4b3e-ae38-1200304cf45b"
});
console.log(result.data);
console.log(result.requestId);Some attributes in the API accept file URLs as input. Whenever that's the case you can pass your own URL or a Base64 data URI.
You can pass a Base64 data URI as a file input. The API will handle the file decoding for you. Keep in mind that for large files, this alternative although convenient can impact the request performance.
You can also pass your own URLs as long as they are publicly accessible. Be aware that some hosts might block cross-site requests, rate-limit, or consider the request as a bot.
We provide a convenient file storage that allows you to upload files and use them in your requests. You can upload files using the client API and use the returned URL in your requests.
import { fal } from "@fal-ai/client";
const file = new File(["Hello, World!"], "hello.txt", { type: "text/plain" });
const url = await fal.storage.upload(file);The client will auto-upload the file for you if you pass a binary object (e.g. File, Data).
Read more about file handling in our file upload guide.
audio_url string* requiredSpeech to translate: an https:// URL on fal's CDN (Playground uploads and microphone recordings) or a base64 data: URI. Up to 5 minutes.
source_language SourceLanguageEnum* requiredLanguage spoken in the audio.
Possible enum values: ja, en, ko, zh
target_language TargetLanguageEnum* requiredLanguage to translate into; not the source language.
Possible enum values: en, ja, ko, zh
{
"audio_url": "",
"source_language": "ja",
"target_language": "en"
}Translated speech (WAV, 24 kHz mono, 16-bit) as a link to the file: from the first word to the last, without the silence the model leaves before and after. Null when nothing was spoken.
output_audio_duration_secs float* requiredSeconds of translated speech returned.
source_language string* requiredLanguage of the input audio.
text string* requiredTranslated text.
target_language string* requiredLanguage of the translation.
audio_duration_secs float* requiredSeconds of decoded input audio (the billed units).
{
"audio": {
"content_type": "",
"file_name": "",
"url": ""
},
"source_language": "",
"text": "",
"target_language": ""
}content_type string* requiredMIME type of the file.
file_size integer* requiredSize of the file in bytes.
file_name string* requiredSuggested file name.
url string* requiredWhere the file is: an https link (on fal, a file on its CDN that expires after 24 hours unless the request set its own lifecycle preference), or a data: URI on a deployment without a media store.