I understand that verbose is saying that there is no transparency, but I am pretty certain there is. What I haven't told you is that the original images that went into that PDF were PNGs with transparencies, There was no white anywhere. The PDF was created by laying those images out in a grid, and rendering the result to PDF.
So what tool did you use to lay the images in a grid and render to PDF. Somewhere along the line the transparency has been removed. Either it happened when you made the PDF or when you uploaded to your server for us to download. But the bottom line is that after downloading from your server, the file has NO transparency as indicated by identify. Unless identify cannot detect transparency in PDF files?
OK doing a test:
convert rose: -channel rgba -alpha on rose.pdf
identify -verbose rose.pdf
Image: rose.pdf
Format: PDF (Portable Document Format)
Class: DirectClass
Geometry: 70x46+0+0
Resolution: 72x72
Print size: 0.972222x0.638889
Units: Undefined
Type: TrueColor
Endianess: Undefined
Colorspace: RGB
Depth: 16/8-bit
Channel depth:
red: 8-bit
green: 8-bit
blue: 8-bit
Channel statistics:
red:
min: 8995 (0.137255)
max: 65535 (1)
mean: 37448 (0.57142)
standard deviation: 17808.9 (0.271746)
kurtosis: -1.385
skewness: 0.14637
green:
min: 5654 (0.0862745)
max: 65535 (1)
mean: 22939.9 (0.35004)
standard deviation: 13484.7 (0.205764)
kurtosis: 2.63898
skewness: 1.81893
blue:
min: 6168 (0.0941176)
max: 65535 (1)
mean: 20680.4 (0.315562)
standard deviation: 14163.6 (0.216123)
kurtosis: 3.01818
skewness: 1.9795
This seems to indicate that either the rose image pdf did not get the alpha channel or identify cannot detect it if it is there.
However, taking Magick's suggestion, I edited delegates.xml and changed pnmraw to pngalpha and repeated
convert rose: -channel rgba -alpha on rose.pdf
identify -verbose rose.pdf
Image: rose.pdf
Format: PDF (Portable Document Format)
Class: DirectClass
Geometry: 70x46+0+0
Resolution: 72x72
Print size: 0.972222x0.638889
Units: Undefined
Type: TrueColorMatte
Endianess: Undefined
Colorspace: RGB
Depth: 16/8-bit
Channel depth:
red: 8-bit
green: 8-bit
blue: 8-bit
alpha: 1-bit
Channel statistics:
red:
min: 8995 (0.137255)
max: 65535 (1)
mean: 37448 (0.57142)
standard deviation: 17808.9 (0.271746)
kurtosis: -1.385
skewness: 0.14637
green:
min: 5654 (0.0862745)
max: 65535 (1)
mean: 22939.9 (0.35004)
standard deviation: 13484.7 (0.205764)
kurtosis: 2.63898
skewness: 1.81893
blue:
min: 6168 (0.0941176)
max: 65535 (1)
mean: 20680.4 (0.315562)
standard deviation: 14163.6 (0.216123)
kurtosis: 3.01818
skewness: 1.9795
alpha:
min: 65535 (1)
max: 65535 (1)
mean: 65535 (1)
standard deviation: -0 (-0)
kurtosis: 0
skewness: 0
so the rose pdf now shows its alpha
so now going back to your image.
identify -verbose another.pdf
Image: another.pdf
Format: PDF (Portable Document Format)
Class: DirectClass
Geometry: 1440x1152+0+0
Resolution: 72x72
Print size: 20x16
Units: Undefined
Type: TrueColorMatte
Endianess: Undefined
Colorspace: RGB
Depth: 16/8-bit
Channel depth:
red: 8-bit
green: 8-bit
blue: 8-bit
alpha: 1-bit
Channel statistics:
red:
min: 0 (0)
max: 65535 (1)
mean: 49630.9 (0.757318)
standard deviation: 22125.2 (0.33761)
kurtosis: -0.831107
skewness: -0.966827
green:
min: 0 (0)
max: 65535 (1)
mean: 50211.8 (0.766183)
standard deviation: 19830 (0.302587)
kurtosis: -0.976927
skewness: -0.810271
blue:
min: 0 (0)
max: 65535 (1)
mean: 51618.8 (0.787653)
standard deviation: 18070.8 (0.275743)
kurtosis: -0.2945
skewness: -0.977763
alpha:
min: 0 (0)
max: 65535 (1)
mean: 47237.6 (0.7208)
standard deviation: 29399.4 (0.448606)
kurtosis: -1.031
skewness: 0.98438
So now it shows an alpha.
so
convert another.pdf PNG32:another.png
or
convert another.pdf -channel rgba -alpha on PNG32:another.png
identify -verbose another.png
Image: another.png
Format: PNG (Portable Network Graphics)
Class: DirectClass
Geometry: 1440x1152+0+0
Resolution: 72x72
Print size: 20x16
Units: Undefined
Type: TrueColorMatte
Endianess: Undefined
Colorspace: RGB
Depth: 8-bit
Channel depth:
red: 8-bit
green: 8-bit
blue: 8-bit
alpha: 1-bit
Channel statistics:
red:
min: 0 (0)
max: 255 (1)
mean: 193.116 (0.757318)
standard deviation: 86.0904 (0.33761)
kurtosis: -0.831107
skewness: -0.966827
green:
min: 0 (0)
max: 255 (1)
mean: 195.377 (0.766183)
standard deviation: 77.1597 (0.302587)
kurtosis: -0.976927
skewness: -0.810271
blue:
min: 0 (0)
max: 255 (1)
mean: 200.851 (0.787653)
standard deviation: 70.3146 (0.275743)
kurtosis: -0.2945
skewness: -0.977763
alpha:
min: 0 (0)
max: 255 (1)
mean: 183.804 (0.7208)
standard deviation: 114.395 (0.448606)
kurtosis: -1.031
skewness: 0.98438
So now the alpha is carried from the PDF to the PNG.
But displaying your PDF or PNG in Mac Preview shows no apparent alpha or totally opaque alpha.
So I am still confused about your alpha. The stats above say that the alpha is 1bit (on or off in value) and its channel mean=183 or 72% opaque, but I see no evidence of it in either the PDF or PNG. What has been masked?
If I extract your alpha channel
convert another.pdf -alpha extract another_alpha.png
It is just the rectangular outside of the white area of your image that is transparent. Not really much need for this type of alpha channel is there or am I missing something here? It is not like the people are masked out!