import type { WhisperContext, WhisperContextOptions, VadContext, VadContextOptions, TranscribeOptions, TranscribeResult, GpuDevice } from "./types";
export type { WhisperContextOptions, VadContextOptions, TranscribeOptions, TranscribeOptionsBase, TranscribeOptionsFile, TranscribeOptionsBuffer, TranscribeResult, TranscriptSegment, StreamingSegment, StreamingToken, WhisperContext, VadContext, WhisperContextConstructor, VadContextConstructor, GpuDevice, } from "./types";
export declare const WhisperContextClass: import("./types").WhisperContextConstructor;
export declare const VadContextClass: import("./types").VadContextConstructor;
export declare const transcribe: (context: WhisperContext, options: TranscribeOptions, callback: import("./types").TranscribeCallback) => void;
export declare const transcribeAsync: (context: WhisperContext, options: TranscribeOptions) => Promise<TranscribeResult>;
/**
 * Create a new WhisperContext
 *
 * @example
 * ```typescript
 * const ctx = createWhisperContext({
 *   model: './models/ggml-base.en.bin',
 *   use_gpu: true,
 *   use_coreml: true,
 * });
 *
 * const result = await transcribeAsync(ctx, {
 *   fname_inp: './audio.wav',
 *   language: 'en',
 * });
 *
 * console.log(result.segments);
 * ctx.free();
 * ```
 */
export declare function createWhisperContext(options: WhisperContextOptions): WhisperContext;
/**
 * Create a new VadContext for voice activity detection
 *
 * @example
 * ```typescript
 * const vad = createVadContext({
 *   model: './models/ggml-silero-v6.2.0.bin',
 *   threshold: 0.5,
 * });
 *
 * const samples = new Float32Array(512);
 * const probability = vad.process(samples);
 *
 * vad.free();
 * ```
 */
export declare function createVadContext(options: VadContextOptions): VadContext;
/**
 * Enumerate available GPU backend devices.
 * Returns an array of GPU/IGPU devices with their properties.
 * The `index` field matches what `gpu_device` option expects in WhisperContextOptions.
 * Never throws — returns an empty array if no GPUs are available or on any error.
 *
 * @example
 * ```typescript
 * const gpus = getGpuDevices();
 * for (const gpu of gpus) {
 *   console.log(`[${gpu.index}] ${gpu.description} (${gpu.type}, ${(gpu.memory_total / 1e9).toFixed(1)} GB)`);
 * }
 * // Use a specific GPU:
 * const ctx = createWhisperContext({ model: '...', gpu_device: gpus[1].index });
 * ```
 */
export declare function getGpuDevices(): GpuDevice[];
declare const _default: {
    WhisperContext: import("./types").WhisperContextConstructor;
    VadContext: import("./types").VadContextConstructor;
    transcribe: (context: WhisperContext, options: TranscribeOptions, callback: import("./types").TranscribeCallback) => void;
    transcribeAsync: (context: WhisperContext, options: TranscribeOptions) => Promise<TranscribeResult>;
    createWhisperContext: typeof createWhisperContext;
    createVadContext: typeof createVadContext;
    getGpuDevices: typeof getGpuDevices;
};
export default _default;
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