Photos | Important Document Tools
A receipt and pen sit poised for action on a clipboard, ready to record crucial information.
BLIP-2 Description:
a receipt and pen sitting on a clipboardChronologically Adjacent
Note: You can also navigate with your arrow keys or swiping.
Metadata
Capture date:
Original Dimensions:
3024w x 4032h - (download 4k)
Usage
Dominant Color:
code page ег bourb thanks boutevart approved reservatic otal kup id tip check si total authorization server invoice printed credit pm business time card event payment swiped approval receipt bullock copy customer well text table reader pen рм tool merchant suggested anton's aaron amount paper ho в document mate
Detected Text
027639799 07 10.08 11 11.20 12 14.00 15 1630 18 20 23 239 25 39 424 49 522642 6 61.32 69.72 7 71.40 72.52 73.32 75.32 752 8.40 875zwsunset 96 aaron amount anton's approval approved authorization b bourb boutevart bullock card check code copy credit customer event ho id kup mate merchant otal payment pm reader reservatic s server si suggested swiped table thanks the time tip total well xxxxxxxx3001 в ег рм
iso
100
metering mode
5
aperture
f/1.8
focal length
4mm
shutter speed
1/15s
camera make
Apple
camera model
lens model
date
2018-07-11T19:40:39.805000-07:00
tzoffset
-25200
tzname
America/Los_Angeles
curation
(25.00%)
highlight visibility
(1.99%)
behavioral
(10.16%)
failure
(-0.27%)
harmonious color
(0.20%)
immersiveness
(0.15%)
interaction
(1.00%)
interesting subject
(-88.09%)
intrusive object presence
(-4.59%)
lively color
(13.94%)
low light
(0.15%)
noise
(-3.61%)
pleasant camera tilt
(-10.86%)
pleasant composition
(-25.59%)
pleasant lighting
(-6.04%)
pleasant pattern
(2.17%)
pleasant perspective
(-2.97%)
pleasant post processing
(10.38%)
pleasant reflection
(-7.86%)
pleasant symmetry
(0.32%)
sharply focused subject
(1.03%)
tastefully blurred
(5.36%)
well chosen subject
(-1.61%)
well framed subject
(13.27%)
well timed shot
(2.69%)
all
(-1.27%)
* WARNING: The title and caption of this image were generated by an AI LLM (gpt-3.5-turbo-0301
from
OpenAI)
based on a
BLIP-2 image-to-text labeling, tags,
location,
people
and album metadata from the image and are
potentially inaccurate, often hilariously so. If you'd like me to adjust anything,
just reach out.