import type * as SarvamAI from "../index.js";
export interface SpeechToTextTranscriptionData {
    /** Unique identifier for the request */
    request_id: string;
    /** Transcript of the provided speech in original language */
    transcript: string;
    /** Always `null` over the WebSocket API — timestamps are not supported for streaming; use the REST or Batch API for timestamped transcripts. */
    timestamps?: Record<string, unknown> | undefined;
    /** Always `null` over the WebSocket API — diarization is not supported for streaming; use the Batch API for diarized transcripts. */
    diarized_transcript?: Record<string, unknown> | undefined;
    /** BCP-47 code of detected language */
    language_code?: string | undefined;
    /**
     * Float value (0.0 to 1.0) indicating the probability of the detected language being correct. Higher values indicate higher confidence.
     *
     * **When it returns a value:**
     * - When `language_code` is not provided in the request
     * - When `language_code` is set to `unknown`
     *
     * **When it returns null:**
     * - When a specific `language_code` is provided (language detection is skipped)
     */
    language_probability?: number | undefined;
    metrics: SarvamAI.TranscriptionMetrics;
}