kotoba-technologies/kotoba-streaming-stt/v1/speech-to-text
Loading API documentation
Transcribe one audio clip. Runs the same session as a streaming client against this app's /v1/realtime WebSocket, so the clip is processed in real time (a 30 s clip takes about 30 s). This route is bounded for demos. Production integrations use the WebSocket endpoint, documented at https://fal.ai/models/kotoba-technologies/kotoba-streaming-stt/v1/realtime/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-streaming-stt/v1/speech-to-text", {
input: {
audio_url: "",
language: "ja"
},
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-streaming-stt/v1/speech-to-text", {
input: {
audio_url: "",
language: "ja"
},
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-streaming-stt/v1/speech-to-text", {
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-streaming-stt/v1/speech-to-text", {
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 transcribe: an https:// URL on fal's CDN (Playground uploads and microphone recordings) or a base64 data: URI. Up to 5 minutes.
language LanguageEnum* requiredLanguage spoken in the audio.
Possible enum values: ja
Up to 1000 terms of at most 64 characters, such as names or product words, whose spelling the transcript should prefer.
kana booleanWrite personal and place names in katakana (Japanese).
{
"audio_url": "",
"language": "ja"
}text string* requiredlanguage_code string* requiredaudio_duration_secs floatlanguage_probability float* required{
"text": "",
"language_code": "",
"words": [
{
"text": "",
"type": "word"
}
]
}speaker_id stringtext string* requiredtype TypeEnumDefault value: "word"
Possible enum values: word, spacing, audio_event
end floatstart float