import { APIResource } from "../../resource.js";
import * as Core from "../../core.js";
export declare class Transcriptions extends APIResource {
    /**
     * Transcribes audio into the input language.
     */
    create(body: TranscriptionCreateParams, options?: Core.RequestOptions): Core.APIPromise<Transcription>;
}
/**
 * Represents a transcription response returned by model, based on the provided
 * input.
 */
export interface Transcription {
    /**
     * The transcribed text.
     */
    text: string;
}
export interface TranscriptionCreateParams {
    /**
     * The audio file object (not file name) to transcribe, in one of these formats:
     * flac, mp3, mp4, mpeg, mpga, m4a, ogg, wav, or webm.
     */
    file: Core.Uploadable;
    /**
     * ID of the model to use. Only `whisper-large-v3` is currently available.
     */
    model: (string & {}) | 'whisper-large-v3';
    /**
     * The language of the input audio. Supplying the input language in
     * [ISO-639-1](https://en.wikipedia.org/wiki/List_of_ISO_639-1_codes) format will
     * improve accuracy and latency.
     */
    language?: (string & {}) | 'en' | 'zh' | 'de' | 'es' | 'ru' | 'ko' | 'fr' | 'ja' | 'pt' | 'tr' | 'pl' | 'ca' | 'nl' | 'ar' | 'sv' | 'it' | 'id' | 'hi' | 'fi' | 'vi' | 'he' | 'uk' | 'el' | 'ms' | 'cs' | 'ro' | 'da' | 'hu' | 'ta' | 'no' | 'th' | 'ur' | 'hr' | 'bg' | 'lt' | 'la' | 'mi' | 'ml' | 'cy' | 'sk' | 'te' | 'fa' | 'lv' | 'bn' | 'sr' | 'az' | 'sl' | 'kn' | 'et' | 'mk' | 'br' | 'eu' | 'is' | 'hy' | 'ne' | 'mn' | 'bs' | 'kk' | 'sq' | 'sw' | 'gl' | 'mr' | 'pa' | 'si' | 'km' | 'sn' | 'yo' | 'so' | 'af' | 'oc' | 'ka' | 'be' | 'tg' | 'sd' | 'gu' | 'am' | 'yi' | 'lo' | 'uz' | 'fo' | 'ht' | 'ps' | 'tk' | 'nn' | 'mt' | 'sa' | 'lb' | 'my' | 'bo' | 'tl' | 'mg' | 'as' | 'tt' | 'haw' | 'ln' | 'ha' | 'ba' | 'jv' | 'su' | 'yue';
    /**
     * An optional text to guide the model's style or continue a previous audio
     * segment. The [prompt](/docs/speech-text) should match the audio language.
     */
    prompt?: string;
    /**
     * The format of the transcript output, in one of these options: `json`, `text`, or
     * `verbose_json`.
     */
    response_format?: 'json' | 'text' | 'verbose_json';
    /**
     * The sampling temperature, between 0 and 1. Higher values like 0.8 will make the
     * output more random, while lower values like 0.2 will make it more focused and
     * deterministic. If set to 0, the model will use
     * [log probability](https://en.wikipedia.org/wiki/Log_probability) to
     * automatically increase the temperature until certain thresholds are hit.
     */
    temperature?: number;
    /**
     * The timestamp granularities to populate for this transcription.
     * `response_format` must be set `verbose_json` to use timestamp granularities.
     * Either or both of these options are supported: `word`, or `segment`. Note: There
     * is no additional latency for segment timestamps, but generating word timestamps
     * incurs additional latency.
     */
    timestamp_granularities?: Array<'word' | 'segment'>;
}
export declare namespace Transcriptions {
    export { type Transcription as Transcription, type TranscriptionCreateParams as TranscriptionCreateParams };
}
//# sourceMappingURL=transcriptions.d.ts.map