/**
 * Censors detected Personally Identifiable Information (PII) in a string using a hybrid approach.
 *
 * This function combines Named Entity Recognition (NER) for contextual PII (names, orgs, locations)
 * with Regular Expressions (Regex) for structured PII (SSN, credit cards, emails, phones, etc.).
 *
 * @param {string} input The string to censor.
 * @returns {Promise<string>} A promise that resolves to the censored string.
 */
export function censorPII(input: string): Promise<string>;
/**
 * @typedef {object} PIIEntity
 * @property {string} entity_group - The type of PII detected (e.g., 'PER', 'ORG', 'LOC', 'SSN', 'EMAIL').
 * @property {string} word - The actual text of the detected PII.
 * @property {number} start - The starting character index of the PII in the original string.
 * @property {number} end - The ending character index of the PII in the original string.
 * @property {number} score - The confidence score of the detection (for NER, 1.0 for regex).
 */
/**
 * Singleton class to manage the Named Entity Recognition (NER) pipeline from transformers.js.
 * Ensures that the NER model is loaded only once.
 */
export class NerPipelineSingleton {
    static task: string;
    static model: string;
    static instance: null;
    /**
     * Retrieves the singleton instance of the NER pipeline.
     * @param {function} [progress_callback=null] - Optional callback function for progress updates during model loading.
     * @returns {Promise<object>} A promise that resolves to the NER pipeline instance.
     */
    static getInstance(progress_callback?: Function): Promise<object>;
}
export type PIIEntity = {
    /**
     * - The type of PII detected (e.g., 'PER', 'ORG', 'LOC', 'SSN', 'EMAIL').
     */
    entity_group: string;
    /**
     * - The actual text of the detected PII.
     */
    word: string;
    /**
     * - The starting character index of the PII in the original string.
     */
    start: number;
    /**
     * - The ending character index of the PII in the original string.
     */
    end: number;
    /**
     * - The confidence score of the detection (for NER, 1.0 for regex).
     */
    score: number;
};