Extract a page from a pdf as a jpeg
Question:
In python code, how can I efficiently save a certain page of a PDF as a JPEG file?
Use case: I have a Python flask web server where PDFs will be uploaded and JPEGs corresponding to each page are stored.
This solution is close, but the problem is that it does not convert the entire page to JPEG.
Answers:
The pdf2image library can be used.
You can install it simply using,
pip install pdf2image
Once installed you can use following code to get images.
from pdf2image import convert_from_path
pages = convert_from_path('pdf_file', 500)
Saving pages in jpeg format
for page in pages:
page.save('out.jpg', 'JPEG')
Edit: the Github repo pdf2image also mentions that it uses pdftoppm
and that it requires other installations:
pdftoppm is the piece of software that does the actual magic. It is distributed as part of a greater package called poppler.
Windows users will have to install poppler for Windows.
Mac users will have to install poppler for Mac.
Linux users will have pdftoppm pre-installed with the distro (Tested on Ubuntu and Archlinux) if it’s not, run sudo apt install poppler-utils
.
You can install the latest version under Windows using anaconda by doing:
conda install -c conda-forge poppler
note: Windows versions upto 0.67 are available at http://blog.alivate.com.au/poppler-windows/ but note that 0.68 was released in Aug 2018 so you’ll not be getting the latest features or bug fixes.
The Python library pdf2image
(used in the other answer) in fact doesn’t do much more than just launching pdttoppm
with subprocess.Popen
, so here is a short version doing it directly:
PDFTOPPMPATH = r"D:Documentssoftware____PORTABLEpoppler-0.51binpdftoppm.exe"
PDFFILE = "SKM_28718052212190.pdf"
import subprocess
subprocess.Popen('"%s" -png "%s" out' % (PDFTOPPMPATH, PDFFILE))
Here is the Windows installation link for pdftoppm
(contained in a package named poppler): http://blog.alivate.com.au/poppler-windows/.
Their is a utility called pdftojpg which can be used to convert the pdf to img
You can found the code here https://github.com/pankajr141/pdf2jpg
from pdf2jpg import pdf2jpg
inputpath = r"D:inputdirpdf1.pdf"
outputpath = r"D:outputdir"
# To convert single page
result = pdf2jpg.convert_pdf2jpg(inputpath, outputpath, pages="1")
print(result)
# To convert multiple pages
result = pdf2jpg.convert_pdf2jpg(inputpath, outputpath, pages="1,0,3")
print(result)
# to convert all pages
result = pdf2jpg.convert_pdf2jpg(inputpath, outputpath, pages="ALL")
print(result)
@gaurwraith, install poppler for Windows and use pdftoppm.exe as follows:
-
Download zip file with Poppler’s latest binaries/dlls from http://blog.alivate.com.au/poppler-windows/ and unzip to a new folder in your program files folder. For example: “C:Program Files (x86)Poppler”.
-
Add “C:Program Files (x86)Popplerpoppler-0.68.0bin” to your SYSTEM PATH environment variable.
-
From cmd line install pdf2image module -> “pip install pdf2image”.
- Or alternatively, directly execute pdftoppm.exe from your code using Python’s subprocess module as explained by user Basj.
@vishvAs vAsuki, this code should generate the jpgs you want through the subprocess module for all pages of one or more pdfs in a given folder:
import os, subprocess
pdf_dir = r"C:yourPDFfolder"
os.chdir(pdf_dir)
pdftoppm_path = r"C:Program Files (x86)Popplerpoppler-0.68.0binpdftoppm.exe"
for pdf_file in os.listdir(pdf_dir):
if pdf_file.endswith(".pdf"):
subprocess.Popen('"%s" -jpeg %s out' % (pdftoppm_path, pdf_file))
Or using the pdf2image module:
import os
from pdf2image import convert_from_path
pdf_dir = r"C:yourPDFfolder"
os.chdir(pdf_dir)
for pdf_file in os.listdir(pdf_dir):
if pdf_file.endswith(".pdf"):
pages = convert_from_path(pdf_file, 300)
pdf_file = pdf_file[:-4]
for page in pages:
page.save("%s-page%d.jpg" % (pdf_file,pages.index(page)), "JPEG")
There is no need to install Poppler on your OS. This will work:
pip install Wand
from wand.image import Image
f = "somefile.pdf"
with(Image(filename=f, resolution=120)) as source:
for i, image in enumerate(source.sequence):
newfilename = f.removesuffix(".pdf") + str(i + 1) + '.jpeg'
Image(image).save(filename=newfilename)
I found this simple solution, PyMuPDF, output to png file. Note the library is imported as "fitz", a historical name for the rendering engine it uses.
import fitz
pdffile = "infile.pdf"
doc = fitz.open(pdffile)
page = doc.load_page(0) # number of page
pix = page.get_pixmap()
output = "outfile.png"
pix.save(output)
doc.close()
Note: The library changed from using "camelCase" to "snake_cased". If you run into an error that a function does not exist, have a look under deprecated names. The functions in the example above have been updated accordingly.
The fitz.Document
class supports a context manager initialization:
with fitz.open(pdffile) as doc:
...
from pdf2image import convert_from_path
import glob
pdf_dir = glob.glob(r'G:personalpdf*') #your pdf folder path
img_dir = "G:\personal\img\" #your dest img path
for pdf_ in pdf_dir:
pages = convert_from_path(pdf_, 500)
for page in pages:
page.save(img_dir+pdf_.split("\")[-1][:-3]+"jpg", 'JPEG')
I use a (maybe) much simpler option of pdf2image:
cd $dir
for f in *.pdf
do
if [ -f "${f}" ]; then
n=$(echo "$f" | cut -f1 -d'.')
pdftoppm -scale-to 1440 -png $f $conv/$n
rm $f
mv $conv/*.png $dir
fi
done
This is a small part of a bash script in a loop for the use of a narrow casting device.
Checks every 5 seconds on added pdf files (all) and processes them.
This is for a demo device, at the end converting will be done at a remote server. Converting to .PNG now, but .JPG is possible too.
This converting, together with transitions on A4 format, displaying a video, two smooth scrolling texts and a logo (with transition in three versions) sets the Pi3 to allmost 4x 100% cpu-load 😉
GhostScript performs much faster than Poppler for a Linux based system.
Following is the code for pdf to image conversion.
def get_image_page(pdf_file, out_file, page_num):
page = str(page_num + 1)
command = ["gs", "-q", "-dNOPAUSE", "-dBATCH", "-sDEVICE=png16m", "-r" + str(RESOLUTION), "-dPDFFitPage",
"-sOutputFile=" + out_file, "-dFirstPage=" + page, "-dLastPage=" + page,
pdf_file]
f_null = open(os.devnull, 'w')
subprocess.call(command, stdout=f_null, stderr=subprocess.STDOUT)
GhostScript can be installed on macOS using brew install ghostscript
Installation information for other platforms can be found here. If it is not already installed on your system.
Here is a solution which requires no additional libraries and is very fast. This was found from: https://nedbatchelder.com/blog/200712/extracting_jpgs_from_pdfs.html#
I have added the code in a function to make it more convenient.
def convert(filepath):
with open(filepath, "rb") as file:
pdf = file.read()
startmark = b"xffxd8"
startfix = 0
endmark = b"xffxd9"
endfix = 2
i = 0
njpg = 0
while True:
istream = pdf.find(b"stream", i)
if istream < 0:
break
istart = pdf.find(startmark, istream, istream + 20)
if istart < 0:
i = istream + 20
continue
iend = pdf.find(b"endstream", istart)
if iend < 0:
raise Exception("Didn't find end of stream!")
iend = pdf.find(endmark, iend - 20)
if iend < 0:
raise Exception("Didn't find end of JPG!")
istart += startfix
iend += endfix
jpg = pdf[istart:iend]
newfile = "{}jpg".format(filepath[:-3])
with open(newfile, "wb") as jpgfile:
jpgfile.write(jpg)
njpg += 1
i = iend
return newfile
Call convert with the pdf path as the argument and the function will create a .jpg file in the same directory
One problem everyone will face that is to Install Poppler. My way is a tricky way,but will work efficiently.
1st download Poppler here.
Then extract it and in the code section just add poppler_path=r'C:Program Filespoppler-0.68.0bin'
(for eg.) like below
from pdf2image import convert_from_path
images = convert_from_path("mypdf.pdf", 500,poppler_path=r'C:Program Filespoppler-0.68.0bin')
for i, image in enumerate(images):
fname = 'image'+str(i)+'.png'
image.save(fname, "PNG")
Here is a function that does the conversion of a PDF file with one or multiple pages to a single merged JPEG image.
import os
import tempfile
from pdf2image import convert_from_path
from PIL import Image
def convert_pdf_to_image(file_path, output_path):
# save temp image files in temp dir, delete them after we are finished
with tempfile.TemporaryDirectory() as temp_dir:
# convert pdf to multiple image
images = convert_from_path(file_path, output_folder=temp_dir)
# save images to temporary directory
temp_images = []
for i in range(len(images)):
image_path = f'{temp_dir}/{i}.jpg'
images[i].save(image_path, 'JPEG')
temp_images.append(image_path)
# read images into pillow.Image
imgs = list(map(Image.open, temp_images))
# find minimum width of images
min_img_width = min(i.width for i in imgs)
# find total height of all images
total_height = 0
for i, img in enumerate(imgs):
total_height += imgs[i].height
# create new image object with width and total height
merged_image = Image.new(imgs[0].mode, (min_img_width, total_height))
# paste images together one by one
y = 0
for img in imgs:
merged_image.paste(img, (0, y))
y += img.height
# save merged image
merged_image.save(output_path)
return output_path
Example usage: –
convert_pdf_to_image("path_to_Pdf/1.pdf", "output_path/output.jpeg")
For a pdf file with multiple pages, the following is the best & simplest (I used pdf2image-1.14.0):
from pdf2image import convert_from_path
from pdf2image.exceptions import (
PDFInfoNotInstalledError,
PDFPageCountError,
PDFSyntaxError
)
images = convert_from_path(r"path/to/input/pdf/file", output_folder=r"path/to/output/folder", fmt="jpg",) #dpi=200, grayscale=True, size=(300,400), first_page=0, last_page=3)
images.clear()
Note:
- "images" is a list of PIL images.
- The saved images in the output folder will have system generated names; one can later change them, if required.
from pdf2image import convert_from_path
PDF_file = 'Statement.pdf'
pages = convert_from_path(PDF_file, 500,userpw='XXX')
image_counter = 1
for page in pages:
filename = "foldername/page_" + str(image_counter) + ".jpg"
page.save(filename, 'JPEG')
image_counter = image_counter + 1
I wrote this script to easily convert a folder directory that contains PDFs (single page) to PNGs really nicely.
import os
from pathlib import PurePath
import glob
# from PIL import Image
from pdf2image import convert_from_path
import pdb
# In[file list]
wd = os.getcwd()
# filter images
fileListpdf = glob.glob(f'{wd}//*.pdf')
# In[Convert pdf to images]
for i in fileListpdf:
images = convert_from_path(i, dpi=300)
path_split = PurePath(i).parts
fileName, ext = os.path.splitext(path_split[-1])
images[0].save(f'{fileName}.png', 'PNG')
Hopefully, this helps if you need to convert PDFs to PNGs!
Using pypdfium2
(v4):
python3 -m pip install "pypdfium2==4"
import pypdfium2 as pdfium
# Load a document
filepath = "tests/resources/multipage.pdf"
pdf = pdfium.PdfDocument(filepath)
# render a single page (in this case: the first one)
page = pdf[0]
pil_image = page.render(scale=2).to_pil()
pil_image.save("output.jpg")
# render multiple pages concurrently (in this case: all)
page_indices = [i for i in range(len(pdf))]
renderer = pdf.render(
pdfium.PdfBitmap.to_pil,
page_indices = page_indices,
)
for image, index in zip(renderer, page_indices):
image.save("output_%02d.jpg" % index)
Advantages:
- PDFium is liberal-licensed (BSD 3-Clause or Apache 2.0, at your choice)
- It is fast, outperforming Poppler. In terms of speed, pypdfium2 can almost reach
PyMuPDF
- Returns
PIL.Image.Image
, numpy.ndarray
, bytes, or a ctypes array, depending on your needs
- Is capable of processing encrypted (password-protected) PDFs
- No mandatory runtime dependencies
- Supports Python >= 3.6
- Setup infrastructure complies with PEP 517/518
Wheels are currently available for
Windows
amd64, win32, arm64
macOS
x86_64, arm64
Linux (glibc 2.26+)
x86_64, i686, aarch64, armv7l
Linux (musl 1.2+)
x86_64, i686
There is a script to build from source, too.
(Disclaimer: I’m the author)
This easy script can convert a folder directory that contains PDFs (single/multiple pages) to jpeg.
from PIL import Image
import pytesseract
import sys
from pdf2image import convert_from_path
import os
from os import listdir
from os import system
from os.path import isfile, join, basename, dirname
import shutil
def move_processed_file(file, doc_path, download_processed):
try:
shutil.move(doc_path + '/' + file, download_processed + '/' + file)
pass
except Exception as e:
print(e.errno)
raise
else:
pass
finally:
pass
pass
def run_conversion():
root_dir = os.path.abspath(os.curdir)
doc_path = root_dir + r"datadownload"
pdf_processed = root_dir + r"datadownloadpdf_processed"
results_folder = doc_path
files = [f for f in listdir(doc_path) if isfile(join(doc_path, f))]
pdf_files = [f for f in listdir(doc_path) if isfile(join(doc_path, f)) and f.lower().endswith('.pdf')]
# check OS type
if os.name == 'nt':
# if is windows or a graphical OS, change this poppler path with your own path
poppler_path = r"C:poppler-0.68.0bin"
else:
poppler_path = root_dir + r"usrbin"
for file in pdf_files:
'''
# Converting PDF to images
'''
# Store all the pages of the PDF in a variable
pages = convert_from_path(doc_path + '/' + file, 500, poppler_path=poppler_path)
# Counter to store images of each page of PDF to image
image_counter = 1
filename, file_extension = os.path.splitext(file)
# Iterate through all the pages stored above
for page in pages:
# Declaring filename for each page of PDF as JPG
# PDF page n -> page_n.jpg
filename = filename + '_' + str(image_counter) + ".jpg"
# Save the image of the page in system
page.save(results_folder + '/' + filename, 'JPEG')
# Increment the counter to update filename
image_counter += 1
move_processed_file(file, doc_path, pdf_processed)
In python code, how can I efficiently save a certain page of a PDF as a JPEG file?
Use case: I have a Python flask web server where PDFs will be uploaded and JPEGs corresponding to each page are stored.
This solution is close, but the problem is that it does not convert the entire page to JPEG.
The pdf2image library can be used.
You can install it simply using,
pip install pdf2image
Once installed you can use following code to get images.
from pdf2image import convert_from_path
pages = convert_from_path('pdf_file', 500)
Saving pages in jpeg format
for page in pages:
page.save('out.jpg', 'JPEG')
Edit: the Github repo pdf2image also mentions that it uses pdftoppm
and that it requires other installations:
pdftoppm is the piece of software that does the actual magic. It is distributed as part of a greater package called poppler.
Windows users will have to install poppler for Windows.
Mac users will have to install poppler for Mac.
Linux users will have pdftoppm pre-installed with the distro (Tested on Ubuntu and Archlinux) if it’s not, runsudo apt install poppler-utils
.
You can install the latest version under Windows using anaconda by doing:
conda install -c conda-forge poppler
note: Windows versions upto 0.67 are available at http://blog.alivate.com.au/poppler-windows/ but note that 0.68 was released in Aug 2018 so you’ll not be getting the latest features or bug fixes.
The Python library pdf2image
(used in the other answer) in fact doesn’t do much more than just launching pdttoppm
with subprocess.Popen
, so here is a short version doing it directly:
PDFTOPPMPATH = r"D:Documentssoftware____PORTABLEpoppler-0.51binpdftoppm.exe"
PDFFILE = "SKM_28718052212190.pdf"
import subprocess
subprocess.Popen('"%s" -png "%s" out' % (PDFTOPPMPATH, PDFFILE))
Here is the Windows installation link for pdftoppm
(contained in a package named poppler): http://blog.alivate.com.au/poppler-windows/.
Their is a utility called pdftojpg which can be used to convert the pdf to img
You can found the code here https://github.com/pankajr141/pdf2jpg
from pdf2jpg import pdf2jpg
inputpath = r"D:inputdirpdf1.pdf"
outputpath = r"D:outputdir"
# To convert single page
result = pdf2jpg.convert_pdf2jpg(inputpath, outputpath, pages="1")
print(result)
# To convert multiple pages
result = pdf2jpg.convert_pdf2jpg(inputpath, outputpath, pages="1,0,3")
print(result)
# to convert all pages
result = pdf2jpg.convert_pdf2jpg(inputpath, outputpath, pages="ALL")
print(result)
@gaurwraith, install poppler for Windows and use pdftoppm.exe as follows:
-
Download zip file with Poppler’s latest binaries/dlls from http://blog.alivate.com.au/poppler-windows/ and unzip to a new folder in your program files folder. For example: “C:Program Files (x86)Poppler”.
-
Add “C:Program Files (x86)Popplerpoppler-0.68.0bin” to your SYSTEM PATH environment variable.
-
From cmd line install pdf2image module -> “pip install pdf2image”.
- Or alternatively, directly execute pdftoppm.exe from your code using Python’s subprocess module as explained by user Basj.
@vishvAs vAsuki, this code should generate the jpgs you want through the subprocess module for all pages of one or more pdfs in a given folder:
import os, subprocess
pdf_dir = r"C:yourPDFfolder"
os.chdir(pdf_dir)
pdftoppm_path = r"C:Program Files (x86)Popplerpoppler-0.68.0binpdftoppm.exe"
for pdf_file in os.listdir(pdf_dir):
if pdf_file.endswith(".pdf"):
subprocess.Popen('"%s" -jpeg %s out' % (pdftoppm_path, pdf_file))
Or using the pdf2image module:
import os
from pdf2image import convert_from_path
pdf_dir = r"C:yourPDFfolder"
os.chdir(pdf_dir)
for pdf_file in os.listdir(pdf_dir):
if pdf_file.endswith(".pdf"):
pages = convert_from_path(pdf_file, 300)
pdf_file = pdf_file[:-4]
for page in pages:
page.save("%s-page%d.jpg" % (pdf_file,pages.index(page)), "JPEG")
There is no need to install Poppler on your OS. This will work:
pip install Wand
from wand.image import Image
f = "somefile.pdf"
with(Image(filename=f, resolution=120)) as source:
for i, image in enumerate(source.sequence):
newfilename = f.removesuffix(".pdf") + str(i + 1) + '.jpeg'
Image(image).save(filename=newfilename)
I found this simple solution, PyMuPDF, output to png file. Note the library is imported as "fitz", a historical name for the rendering engine it uses.
import fitz
pdffile = "infile.pdf"
doc = fitz.open(pdffile)
page = doc.load_page(0) # number of page
pix = page.get_pixmap()
output = "outfile.png"
pix.save(output)
doc.close()
Note: The library changed from using "camelCase" to "snake_cased". If you run into an error that a function does not exist, have a look under deprecated names. The functions in the example above have been updated accordingly.
The fitz.Document
class supports a context manager initialization:
with fitz.open(pdffile) as doc:
...
from pdf2image import convert_from_path
import glob
pdf_dir = glob.glob(r'G:personalpdf*') #your pdf folder path
img_dir = "G:\personal\img\" #your dest img path
for pdf_ in pdf_dir:
pages = convert_from_path(pdf_, 500)
for page in pages:
page.save(img_dir+pdf_.split("\")[-1][:-3]+"jpg", 'JPEG')
I use a (maybe) much simpler option of pdf2image:
cd $dir
for f in *.pdf
do
if [ -f "${f}" ]; then
n=$(echo "$f" | cut -f1 -d'.')
pdftoppm -scale-to 1440 -png $f $conv/$n
rm $f
mv $conv/*.png $dir
fi
done
This is a small part of a bash script in a loop for the use of a narrow casting device.
Checks every 5 seconds on added pdf files (all) and processes them.
This is for a demo device, at the end converting will be done at a remote server. Converting to .PNG now, but .JPG is possible too.
This converting, together with transitions on A4 format, displaying a video, two smooth scrolling texts and a logo (with transition in three versions) sets the Pi3 to allmost 4x 100% cpu-load 😉
GhostScript performs much faster than Poppler for a Linux based system.
Following is the code for pdf to image conversion.
def get_image_page(pdf_file, out_file, page_num):
page = str(page_num + 1)
command = ["gs", "-q", "-dNOPAUSE", "-dBATCH", "-sDEVICE=png16m", "-r" + str(RESOLUTION), "-dPDFFitPage",
"-sOutputFile=" + out_file, "-dFirstPage=" + page, "-dLastPage=" + page,
pdf_file]
f_null = open(os.devnull, 'w')
subprocess.call(command, stdout=f_null, stderr=subprocess.STDOUT)
GhostScript can be installed on macOS using brew install ghostscript
Installation information for other platforms can be found here. If it is not already installed on your system.
Here is a solution which requires no additional libraries and is very fast. This was found from: https://nedbatchelder.com/blog/200712/extracting_jpgs_from_pdfs.html#
I have added the code in a function to make it more convenient.
def convert(filepath):
with open(filepath, "rb") as file:
pdf = file.read()
startmark = b"xffxd8"
startfix = 0
endmark = b"xffxd9"
endfix = 2
i = 0
njpg = 0
while True:
istream = pdf.find(b"stream", i)
if istream < 0:
break
istart = pdf.find(startmark, istream, istream + 20)
if istart < 0:
i = istream + 20
continue
iend = pdf.find(b"endstream", istart)
if iend < 0:
raise Exception("Didn't find end of stream!")
iend = pdf.find(endmark, iend - 20)
if iend < 0:
raise Exception("Didn't find end of JPG!")
istart += startfix
iend += endfix
jpg = pdf[istart:iend]
newfile = "{}jpg".format(filepath[:-3])
with open(newfile, "wb") as jpgfile:
jpgfile.write(jpg)
njpg += 1
i = iend
return newfile
Call convert with the pdf path as the argument and the function will create a .jpg file in the same directory
One problem everyone will face that is to Install Poppler. My way is a tricky way,but will work efficiently.
1st download Poppler here.
Then extract it and in the code section just add poppler_path=r'C:Program Filespoppler-0.68.0bin'
(for eg.) like below
from pdf2image import convert_from_path
images = convert_from_path("mypdf.pdf", 500,poppler_path=r'C:Program Filespoppler-0.68.0bin')
for i, image in enumerate(images):
fname = 'image'+str(i)+'.png'
image.save(fname, "PNG")
Here is a function that does the conversion of a PDF file with one or multiple pages to a single merged JPEG image.
import os
import tempfile
from pdf2image import convert_from_path
from PIL import Image
def convert_pdf_to_image(file_path, output_path):
# save temp image files in temp dir, delete them after we are finished
with tempfile.TemporaryDirectory() as temp_dir:
# convert pdf to multiple image
images = convert_from_path(file_path, output_folder=temp_dir)
# save images to temporary directory
temp_images = []
for i in range(len(images)):
image_path = f'{temp_dir}/{i}.jpg'
images[i].save(image_path, 'JPEG')
temp_images.append(image_path)
# read images into pillow.Image
imgs = list(map(Image.open, temp_images))
# find minimum width of images
min_img_width = min(i.width for i in imgs)
# find total height of all images
total_height = 0
for i, img in enumerate(imgs):
total_height += imgs[i].height
# create new image object with width and total height
merged_image = Image.new(imgs[0].mode, (min_img_width, total_height))
# paste images together one by one
y = 0
for img in imgs:
merged_image.paste(img, (0, y))
y += img.height
# save merged image
merged_image.save(output_path)
return output_path
Example usage: –
convert_pdf_to_image("path_to_Pdf/1.pdf", "output_path/output.jpeg")
For a pdf file with multiple pages, the following is the best & simplest (I used pdf2image-1.14.0):
from pdf2image import convert_from_path
from pdf2image.exceptions import (
PDFInfoNotInstalledError,
PDFPageCountError,
PDFSyntaxError
)
images = convert_from_path(r"path/to/input/pdf/file", output_folder=r"path/to/output/folder", fmt="jpg",) #dpi=200, grayscale=True, size=(300,400), first_page=0, last_page=3)
images.clear()
Note:
- "images" is a list of PIL images.
- The saved images in the output folder will have system generated names; one can later change them, if required.
from pdf2image import convert_from_path
PDF_file = 'Statement.pdf'
pages = convert_from_path(PDF_file, 500,userpw='XXX')
image_counter = 1
for page in pages:
filename = "foldername/page_" + str(image_counter) + ".jpg"
page.save(filename, 'JPEG')
image_counter = image_counter + 1
I wrote this script to easily convert a folder directory that contains PDFs (single page) to PNGs really nicely.
import os
from pathlib import PurePath
import glob
# from PIL import Image
from pdf2image import convert_from_path
import pdb
# In[file list]
wd = os.getcwd()
# filter images
fileListpdf = glob.glob(f'{wd}//*.pdf')
# In[Convert pdf to images]
for i in fileListpdf:
images = convert_from_path(i, dpi=300)
path_split = PurePath(i).parts
fileName, ext = os.path.splitext(path_split[-1])
images[0].save(f'{fileName}.png', 'PNG')
Hopefully, this helps if you need to convert PDFs to PNGs!
Using pypdfium2
(v4):
python3 -m pip install "pypdfium2==4"
import pypdfium2 as pdfium
# Load a document
filepath = "tests/resources/multipage.pdf"
pdf = pdfium.PdfDocument(filepath)
# render a single page (in this case: the first one)
page = pdf[0]
pil_image = page.render(scale=2).to_pil()
pil_image.save("output.jpg")
# render multiple pages concurrently (in this case: all)
page_indices = [i for i in range(len(pdf))]
renderer = pdf.render(
pdfium.PdfBitmap.to_pil,
page_indices = page_indices,
)
for image, index in zip(renderer, page_indices):
image.save("output_%02d.jpg" % index)
Advantages:
- PDFium is liberal-licensed (BSD 3-Clause or Apache 2.0, at your choice)
- It is fast, outperforming Poppler. In terms of speed, pypdfium2 can almost reach
PyMuPDF
- Returns
PIL.Image.Image
,numpy.ndarray
, bytes, or a ctypes array, depending on your needs - Is capable of processing encrypted (password-protected) PDFs
- No mandatory runtime dependencies
- Supports Python >= 3.6
- Setup infrastructure complies with PEP 517/518
Wheels are currently available for
Windows
amd64, win32, arm64macOS
x86_64, arm64Linux (glibc 2.26+)
x86_64, i686, aarch64, armv7lLinux (musl 1.2+)
x86_64, i686
There is a script to build from source, too.
(Disclaimer: I’m the author)
This easy script can convert a folder directory that contains PDFs (single/multiple pages) to jpeg.
from PIL import Image
import pytesseract
import sys
from pdf2image import convert_from_path
import os
from os import listdir
from os import system
from os.path import isfile, join, basename, dirname
import shutil
def move_processed_file(file, doc_path, download_processed):
try:
shutil.move(doc_path + '/' + file, download_processed + '/' + file)
pass
except Exception as e:
print(e.errno)
raise
else:
pass
finally:
pass
pass
def run_conversion():
root_dir = os.path.abspath(os.curdir)
doc_path = root_dir + r"datadownload"
pdf_processed = root_dir + r"datadownloadpdf_processed"
results_folder = doc_path
files = [f for f in listdir(doc_path) if isfile(join(doc_path, f))]
pdf_files = [f for f in listdir(doc_path) if isfile(join(doc_path, f)) and f.lower().endswith('.pdf')]
# check OS type
if os.name == 'nt':
# if is windows or a graphical OS, change this poppler path with your own path
poppler_path = r"C:poppler-0.68.0bin"
else:
poppler_path = root_dir + r"usrbin"
for file in pdf_files:
'''
# Converting PDF to images
'''
# Store all the pages of the PDF in a variable
pages = convert_from_path(doc_path + '/' + file, 500, poppler_path=poppler_path)
# Counter to store images of each page of PDF to image
image_counter = 1
filename, file_extension = os.path.splitext(file)
# Iterate through all the pages stored above
for page in pages:
# Declaring filename for each page of PDF as JPG
# PDF page n -> page_n.jpg
filename = filename + '_' + str(image_counter) + ".jpg"
# Save the image of the page in system
page.save(results_folder + '/' + filename, 'JPEG')
# Increment the counter to update filename
image_counter += 1
move_processed_file(file, doc_path, pdf_processed)