Mic*_*hal 6 python pdf ocr ghostscript
我有一个扫描的pdf文件,我尝试从中提取文本。我尝试使用pypdfocr在其上进行ocr,但出现错误:
“在通常的地方找不到ghostscript”
搜索后,我找到了在Windows平台中将Ghostscript链接到pypdfocr的解决方案,我尝试下载GhostScript并将其放入环境变量中,但仍然存在相同的错误。
如何使用python在扫描的pdf文件中查找文本?
谢谢。
编辑:这是我的代码示例:
import os
import sys
import re
import json
import shutil
import glob
from pypdfocr import pypdfocr_gs
from pypdfocr import pypdfocr_tesseract
from PIL import Image
path = PATH_TO_MY_SCANNED_PDF
mainL = []
kk = {}
def new_init(self, kk):
self.lang = 'heb'
self.binary = "tesseract"
self.msgs = {
'TS_MISSING': """
Could not execute %s
Please make sure you have Tesseract installed correctly
""" % self.binary,
'TS_VERSION':'Tesseract version is too old',
'TS_img_MISSING':'Cannot find specified tiff file',
'TS_FAILED': 'Tesseract-OCR execution failed!',
}
pypdfocr_tesseract.PyTesseract.__init__ = new_init
wow = pypdfocr_gs.PyGs(kk)
tt = pypdfocr_tesseract.PyTesseract(kk)
def secFile(filename,oldfilename):
wow.make_img_from_pdf(filename)
files = glob.glob("X:/e206333106/ocr-114/balagan/" + '*.jpg')
for file in files:
im = Image.open(file)
im.save(file + ".tiff")
files = glob.glob("PATH" + '*.tiff')
for file in files:
tt.make_hocr_from_pnm(file)
pdftxt = ""
files = glob.glob("PATH" + '*.html')
for file in files:
with open(file) as myfile:
pdftxt = pdftxt + "#" + "".join(line.rstrip() for line in myfile)
findNum(pdftxt,oldfilename)
folder ="PATH"
for the_file in os.listdir(folder):
file_path = os.path.join(folder, the_file)
try:
if os.path.isfile(file_path):
os.unlink(file_path)
except Exception, e:
print e
def pdf2ocr(filename):
pdffile = filename
os.system('pypdfocr -l heb ' + pdffile)
def ocr2txt(filename):
pdffile = filename
output1 = pdffile.replace(".pdf","_ocr.txt")
output1 = "PATH" + os.path.basename(output1)
input1 = pdffile.replace(".pdf","_ocr.pdf")
os.system("pdf2txt" -o + output1 + " " + input1)
with open(output1) as myfile:
pdftxt="".join(line.rstrip() for line in myfile)
findNum(pdftxt,filename)
def findNum(pdftxt,pdffile):
l = re.findall(r'\b\d+\b', pdftxt)
output = open('PATH' + os.path.basename(pdffile) + '.txt', 'w')
for i in l:
output.write(",")
output.write(i)
output.close()
def is_ascii(s):
return all(ord(c) < 128 for c in s)
i = 0
files = glob.glob(path + '\\*.pdf')
print path
print files
for file in files:
if file.endswith(".pdf"):
if is_ascii(file):
print file
pdf2ocr(file)
ocr2txt(file)
else:
newname = "PATH" + str(i) + ".pdf"
shutil.copyfile(file, newname)
print newname
secFile(newname,file)
i = i + 1
files = glob.glob(path + '\\' + '*_ocr.pdf')
for file in files:
print file
shutil.copyfile(file, "PATH" + os.path.basename(file))
os.remove(file)
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TRI*_*ADI 10
看看我的代码,它对我有用。
import os
import io
from PIL import Image
import pytesseract
from wand.image import Image as wi
import gc
pdf=wi(filename=pdf_path,resolution=300)
pdfImg=pdf.convert('jpeg')
imgBlobs=[]
extracted_text=[]
def Get_text_from_image(pdf_path):
pdf=wi(filename=pdf_path,resolution=300)
pdfImg=pdf.convert('jpeg')
imgBlobs=[]
extracted_text=[]
for img in pdfImg.sequence:
page=wi(image=img)
imgBlobs.append(page.make_blob('jpeg'))
for imgBlob in imgBlobs:
im=Image.open(io.BytesIO(imgBlob))
text=pytesseract.image_to_string(im,lang='eng')
extracted_text.append(text)
return (extracted_text)
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我通过编辑 /etc/ImageMagick-6/policy.xml 为我修复了它,并将 pdf 行的权限更改为“读|写”:
打开终端并更改路径
cd /etc/ImageMagick-6
nano policy.xml
<policy domain="coder" rights="read" pattern="PDF" />
change to
<policy domain="coder" rights="read|write" pattern="PDF" />
exit
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当我将 pdf 图像提取为文本时,我遇到了一些问题,请查看以下链接
/sf/ask/3688972591/
error-constitute-c-readimage-412
/sf/ask/3700336251/
authorized-to-convert-pdf-to-an-image
Increasing the memory limit please go through the below link
enter code here
https://github.com/phw/peek/issues/112
https://github.com/ImageMagick/ImageMagick/issues/396
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看看这个库:https : //pypi.python.org/pypi/pypdfocr 但 PDF 文件中也可以包含图像。您或许能够分析页面内容流。一些扫描仪将单个扫描页面分解为图像,因此您不会获得带有 ghostscript 的文本。
转换pdf,使用pytesseract做OCR,将pdf中的每一页导出为文本文件。
安装这些....
conda install -c conda-forge pytesseract
conda install -c conda-forge tesseract
pip 安装 pdf2image
import pytesseract
from pdf2image import convert_from_path
import glob
pdfs = glob.glob(r"yourPath\*.pdf")
for pdf_path in pdfs:
pages = convert_from_path(pdf_path, 500)
for pageNum,imgBlob in enumerate(pages):
text = pytesseract.image_to_string(imgBlob,lang='eng')
with open(f'{pdf_path[:-4]}_page{pageNum}.txt', 'w') as the_file:
the_file.write(text)
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