这里是我创建的一个纯python实现，它不依赖ImageMagick。它只依赖于PIL和reportlab。它可以在谷歌应用程序引擎这样的受限环境下运行。def TIFF2PDF(tiff_str, max_pages = 200):
'''
Convert a TIFF Image into a PDF.
tiff_str: The binary representation of the TIFF.
max_pages: Break after a number of pages. Set to None to have no limit.
'''
import PIL
import reportlab
import reportlab.lib.pagesizes as pdf_sizes
from cStringIO import StringIO
logging.info("TIFF2PDF")
# Open the Image in PIL
tiff_img = PIL.Image.open(StringIO(tiff_str))
# Get tiff dimensions from exiff data. The values are swapped for some reason.
height, width = tiff_img.tag[0x101][0], tiff_img.tag[0x100][0]
# Create our output PDF
out_pdf_io = StringIO()
c = reportlab.pdfgen.canvas.Canvas(out_pdf_io, pagesize = pdf_sizes.letter)
# The PDF Size
pdf_width, pdf_height = pdf_sizes.letter
# Iterate through the pages
page = 0
while True:
try:
tiff_img.seek(page)
except EOFError:
break
logging.info("Converting tiff page: %s"%page)
# Stretch the TIFF image to the full page of the PDF
if pdf_width * height / width <= pdf_height:
# Stretch wide
c.drawInlineImage(tiff_img, 0, 0, pdf_width, pdf_width * height / width)
else:
# Stretch long
c.drawInlineImage(tiff_img, 0, 0, pdf_height * width / height, pdf_height)
c.showPage()
if max_pages and page > max_pages:
logging.error("Too many pages, breaking early")
break
page += 1
logging.info("Saving tiff image")
c.save()
return out_pdf_io.getvalue()
