/**
 * Type definitions for PaddleOCR WebGPU engine.
 */
/** Model size variant for auto-resolving HuggingFace repos. */
export type ModelType = 'tiny' | 'small' | 'medium';
/** Maps a ModelType to its HuggingFace recognition model repo. */
export declare const REC_HF_REPO: Record<ModelType, string>;
/** Maps a ModelType to its HuggingFace detection model repo. */
export declare const DET_HF_REPO: Record<ModelType, string>;
export interface PaddleOcrOptions {
    /**
     * Model size variant: 'tiny', 'small', or 'medium'.
     * Auto-derives hfRepo, modelUrl and vocabUrl from the appropriate
     * HuggingFace repo when not explicitly set.
     */
    modelType?: ModelType;
    /**
     * HuggingFace repo ID (e.g. "PaddlePaddle/PP-OCRv6_small_rec_onnx").
     * When set, modelUrl and vocabUrl are auto-derived from the HF repo
     * (https://huggingface.co/{repo}/resolve/main/inference.onnx).
     */
    hfRepo?: string;
    /** URL to the inference.onnx model file. Required unless hfRepo or modelType is set. */
    modelUrl?: string;
    /** URL to the inference.yml file containing the character dictionary. Required unless hfRepo or modelType is set. */
    vocabUrl?: string;
    /** Max input width after pre-processing. Default 3200. */
    maxWidth?: number;
    /** Channel ordering for the input tensor.  Default: 'bgr'. */
    channelOrder?: 'rgb' | 'bgr';
    /** Optional progress callback. `pct` is in [0,1] when known, may be omitted for indeterminate stages. */
    onProgress?: (stage: string, pct?: number) => void;
}
export interface RecognizeResult {
    text: string;
    confidence: number;
    timeMs: number;
    shape: number[];
}
/** Pre-processed batched image stored as Float32Array [1, 3, 48, W]. */
export interface PreprocessedImage {
    shape: number[];
    data: Float32Array;
}
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