/* auto-generated by NAPI-RS */
/* eslint-disable */
/**
 * Classify a PDF: detect type (TextBased/Scanned/Mixed/ImageBased),
 * page count, and which pages need OCR. Takes PDF bytes as Buffer.
 */
export declare function classifyPdf(buffer: Buffer): PdfClassification

/**
 * Extract text within bounding-box regions from a PDF.
 *
 * For hybrid OCR: layout model detects regions in rendered images,
 * this extracts PDF text within those regions — skipping GPU OCR
 * for text-based pages.
 *
 * Each region result includes `needs_ocr` — set when the extracted text
 * is unreliable (empty, GID-encoded fonts, garbage, encoding issues).
 *
 * Coordinates are PDF points with top-left origin.
 */
export declare function extractTextInRegions(buffer: Buffer, pageRegions: Array<PageRegions>): Array<PageRegionTexts>

/** A page's regions for text extraction: (page_index_0based, bboxes). */
export interface PageRegions {
  page: number
  /** Each bbox is [x1, y1, x2, y2] in PDF points, top-left origin. */
  regions: Array<Array<number>>
}

/** Extracted text for one page's regions. */
export interface PageRegionTexts {
  page: number
  regions: Array<RegionText>
}

/** Lightweight PDF classification result. */
export interface PdfClassification {
  pdfType: string
  pageCount: number
  pagesNeedingOcr: Array<number>
  confidence: number
}

/** Extracted text for a single region. */
export interface RegionText {
  text: string
  /** `true` when the text should not be trusted (empty, GID fonts, garbage, encoding issues). */
  needsOcr: boolean
}