import type * as SarvamAI from "../../../../index.mjs";
/**
 * @example
 *     {
 *         src_lang: "en-IN",
 *         target_langs: ["hi-IN", "ta-IN", "te-IN"],
 *         export_options: ["video", "audio", "srt"],
 *         voice_cloning: true,
 *         num_speakers: 1,
 *         disable_watermark: true,
 *         register: "modern-colloquial",
 *         job_name: "segment1"
 *     }
 */
export interface CreateDubbingJobRequest {
    /** Source language of the input media (BCP-47). */
    src_lang: SarvamAI.DubbingLanguage;
    /** One or more target languages to dub into. A single job dubs into all of them. */
    target_langs: SarvamAI.DubbingLanguage[];
    /** Which formats to auto-produce per target language. */
    export_options?: SarvamAI.DubbingExportOption[];
    /** Clone the original speaker's voice. Set `false` to use a preset `voice_id` instead. */
    voice_cloning?: boolean;
    /** Preset (prebuilt) voice to use when `voice_cloning` is `false`. Single speaker only. */
    voice_id?: string;
    /** Speech pace preset, used when `voice_cloning` is false. */
    pace_preset?: SarvamAI.DubbingPacePreset;
    /** Number of speakers in the source audio. */
    num_speakers?: number;
    /** Set `true` for a watermark-free export. */
    disable_watermark?: boolean;
    /** Translation-style / tone register. */
    register?: SarvamAI.DubbingRegister;
    /** Keep `false` for API integrations so exports fire automatically once TTS finishes. When `true`, auto-export is suppressed: the pipeline completes but `export-status` stays empty. */
    editor_flow?: boolean;
    /** Human-readable label to identify the job later. Recommended (e.g. the source file's name). */
    job_name?: string;
}