ppu-paddle-ocr/processor/paddle-ocr.service.d.ts

Blazing-fast and lightweight PaddleOCR library for Node.js and Bun. Perform accurate text detection, recognition, and image deskew with a simple, modern, and type-safe API. Ideal for document processing, data extraction, and computer vision tasks.

import { Canvas } from "ppu-ocv";
import type { PaddleOptions } from "../interface";
import { type RecognitionResult } from "./recognition.service";
export interface PaddleOcrResult {
    text: string;
    lines: RecognitionResult[][];
    confidence: number;
}
export interface FlattenedPaddleOcrResult {
    text: string;
    results: RecognitionResult[];
    confidence: number;
}
/**
 * PaddleOcrService - Provides OCR functionality using PaddleOCR models.
 * To use this service, create an instance and call the `initialize()` method.
 */
export declare class PaddleOcrService {
    private options;
    private detectionSession;
    private recognitionSession;
    /**
     * Creates an instance of PaddleOcrService.
     * @param options - Configuration options for the service.
     */
    constructor(options?: PaddleOptions);
    /**
     * Logs a message if verbose debugging is enabled.
     */
    private log;
    /**
     * Fetches a resource from a URL and caches it locally.
     * If the resource is already in the cache, it loads it from there.
     */
    private _fetchAndCache;
    /**
     * Loads a resource from a buffer, a file path, a URL, or a default URL.
     */
    private _loadResource;
    /**
     * Initializes the OCR service by loading models and dictionary.
     * This method must be called before any OCR operations.
     */
    initialize(): Promise<void>;
    /**
     * Checks if the service has been initialized with models loaded.
     */
    isInitialized(): boolean;
    /**
     * Changes the detection model for the current instance.
     * @param model - The new detection model as a path, URL, or ArrayBuffer.
     */
    changeDetectionModel(model: ArrayBuffer | string): Promise<void>;
    /**
     * Changes the recognition model for the current instance.
     * @param model - The new recognition model as a path, URL, or ArrayBuffer.
     */
    changeRecognitionModel(model: ArrayBuffer | string): Promise<void>;
    /**
     * Changes the text dictionary for the current instance.
     * @param dictionary - The new dictionary as a path, URL, ArrayBuffer, or string content.
     */
    changeTextDictionary(dictionary: ArrayBuffer | string): Promise<void>;
    /**
     * Runs OCR and returns a flattened list of recognized text boxes.
     *
     * @param image - The raw image data as an ArrayBuffer or Canvas.
     * @param options - Options object with `flatten` set to `true`.
     * @return A promise that resolves to a flattened result object.
     */
    recognize(image: ArrayBuffer | Canvas, options: {
        flatten: true;
        dictionary?: string | ArrayBuffer;
    }): Promise<FlattenedPaddleOcrResult>;
    /**
     * Runs OCR and returns recognized text grouped into lines.
     *
     * @param image - The raw image data as an ArrayBuffer or Canvas.
     * @param options - Optional options object. If `flatten` is `false` or omitted, this structure is returned.
     * @return A promise that resolves to a result object with text lines.
     */
    recognize(image: ArrayBuffer | Canvas, options?: {
        flatten?: false;
        dictionary?: string | ArrayBuffer;
    }): Promise<PaddleOcrResult>;
    /**
     * Processes raw recognition results to generate the final text,
     * grouped lines, and overall confidence.
     */
    private processRecognition;
    /**
     * Runs deskew algorithm on the provided image buffer | canvas
     *
     * @param image - The raw image data as an ArrayBuffer or Canvas.
     * @return A promise that resolves deskewed image as Canvas
     */
    deskewImage(image: ArrayBuffer | Canvas): Promise<Canvas>;
    /**
     * Releases the onnx runtime session for both
     * detection and recognition model.
     */
    destroy(): Promise<void>;
}
export default PaddleOcrService;