Images and quality

PDF Images, DPI and Resolution: What Actually Controls Quality

“300 DPI” is not a magic property of a PDF. Image quality depends on pixel dimensions, the physical size at which those pixels are used, and the compression applied to them.

Pixels and physical size have to be considered together

A 2400×3000-pixel image can be excellent on a small printed page and mediocre if stretched across a poster. Effective resolution is roughly the number of pixels divided by the number of inches those pixels cover. A PDF can place the same image at many different physical sizes, so the useful DPI is a property of that placement, not merely a label in the image file.

A simple example

If an image is 1800 pixels wide and is placed 6 inches wide on the page, its effective horizontal resolution is about 300 pixels per inch. If the same image is stretched to 12 inches, that falls to about 150 pixels per inch. The underlying pixels did not change; the placement did.

Why scanned PDFs become huge

A scanner may create a full-page colour image for every page. At high pixel dimensions, a 50-page document can contain hundreds of millions of pixels. Compression helps, but the dominant cost is still the image data. That is why image-heavy scans often shrink far more than born-digital text PDFs when downsampled.

JPEG quality and resolution are different controls

Downsampling removes pixels. JPEG compression keeps the pixel dimensions but represents them more approximately. Both can reduce size, but they create different artefacts. Heavy JPEG compression can produce blockiness or ringing around text; aggressive downsampling can make small type unreadable even when the JPEG quality setting is high.

ContentWhat usually matters most
PhotographsReasonable JPEG quality and enough effective resolution for the target size
Scanned textLegibility of small strokes; grayscale can often be more efficient than colour
Line art/diagramsSharp edges; lossless or vector content may be preferable
Born-digital textDo not rasterise just to chase a smaller file unless you accept losing text structure

Why NoblePDF offers separate compression modes

The default Preserve text & vectors mode performs structural optimisation rather than converting every page to a picture. The stronger image-based modes are explicitly labelled because they trade document structure for image compression. That distinction matters: a smaller PDF is not automatically a better PDF if search, copy or accessibility is lost.

How to choose a sensible target

Worked example: why pixel dimensions alone are not DPI

Suppose an image is 2,400 pixels wide. If it is placed 8 inches wide on a PDF page, its effective resolution is 300 pixels per inch. Place the exact same image 12 inches wide and the effective resolution falls to 200 PPI. No pixels changed - only the physical placement did.

Image widthPlaced widthEffective PPITypical consequence
2,400 px8 in300 PPIUsually ample for print-sized text/images
2,400 px12 in200 PPILower print detail at the larger physical size
1,200 px8 in150 PPIMay be acceptable for screen viewing, visibly softer in print

This is why NoblePDF separates image-flattening quality choices from structural compression. Structural compression can reduce PDF overhead without changing the pixel count of an image at all; image-based compression deliberately changes page pixels and therefore needs a resolution/quality trade-off.