Source code for

# Copyright (C) 2021-2024, Mindee.

# This program is licensed under the Apache License 2.0.
# See LICENSE or go to <> for full license details.

from typing import Any, List, Optional

import numpy as np
import pypdfium2 as pdfium

from doctr.utils.common_types import AbstractFile

__all__ = ["read_pdf"]

[docs] def read_pdf( file: AbstractFile, scale: float = 2, rgb_mode: bool = True, password: Optional[str] = None, **kwargs: Any, ) -> List[np.ndarray]: """Read a PDF file and convert it into an image in numpy format >>> from import read_pdf >>> doc = read_pdf("path/to/your/doc.pdf") Args: ---- file: the path to the PDF file scale: rendering scale (1 corresponds to 72dpi) rgb_mode: if True, the output will be RGB, otherwise BGR password: a password to unlock the document, if encrypted **kwargs: additional parameters to :meth:`pypdfium2.PdfPage.render` Returns: ------- the list of pages decoded as numpy ndarray of shape H x W x C """ # Rasterise pages to numpy ndarrays with pypdfium2 pdf = pdfium.PdfDocument(file, password=password, autoclose=True) return [page.render(scale=scale, rev_byteorder=rgb_mode, **kwargs).to_numpy() for page in pdf]