PaperKit

Compress PDF

Reduce a PDF to a fraction of its size by re-encoding pages at the quality you choose. Best on scanned and image-heavy documents — a 20 MB scan often lands under 3 MB.

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Private: files never leave your device

Pages are re-encoded as images for maximum savings — ideal for scans. Text stays readable but is no longer selectable.

Compressing re-encodes the images inside a PDF at a quality level you choose, which is where nearly all the size in a large document actually lives. Scans respond dramatically — a 20 MB scanned contract commonly lands under 3 MB with no practical loss of legibility — because each page is a photograph and photographs compress. A text-based PDF exported from a word processor is a different story: its pages are text and vector instructions that are already compact, and there is very little for a compressor to take. Knowing which kind of document you have predicts the result better than any setting does. The work runs in your browser, so a large file is not limited by an upload cap or a queue, and the document is never sent anywhere. Your original is untouched; you download a new, smaller copy.

Where the size in a PDF actually is

Open the file size question honestly and it nearly always resolves to images. A scanned page is a photograph of paper, typically several megabytes at 300 dpi in colour; forty of them is a large file made of forty large pictures. Compression re-encodes those images and the total falls proportionally.

Text and vector content is already efficient. Glyph positions and drawing instructions compress well by default and there is no equivalent lever to pull, which is why a 2 MB text-based report will not become a 200 KB one no matter what setting you choose. Embedded fonts are the other fixed cost, and stripping them would break the document's rendering elsewhere.

Does text stay selectable

Yes, where it was selectable to begin with. Compression here targets the images; the text layer is left as text, so search, copy and screen readers keep working exactly as before.

A scanned document is the case people get confused about. Its text was never text — it is part of the page image — so it was not selectable before compression and will not be afterwards. Running OCR is what adds a text layer, and it is a separate operation for a separate purpose.

Choosing a quality level

For a scan destined to be read on screen or emailed, a moderate setting is generally invisible: the document is a picture of black text on white paper, which survives compression better than almost any other content. For anything with photographs where detail matters — product shots, medical images, artwork proofs — stay high.

Test with one file before doing a batch, and check the smallest text on the busiest page rather than the document as a whole. That is where over-compression shows first, as softening around character edges, and it is the difference between a file that is smaller and one that is smaller and unusable.

Frequently asked questions

Are my PDF files uploaded to a server?

No — this tool runs entirely in your browser using WebAssembly and JavaScript. Your files never leave your device, which also means there are no size limits and no queues.

Will text stay selectable after compression?

No — this compressor re-renders pages as images, which is what makes big savings possible in the browser. Text remains perfectly readable but is no longer selectable. For text-heavy PDFs that must stay selectable, try lowering the export quality in the app that created the PDF.

How much smaller will my PDF get?

Scanned documents typically shrink 70–90% at default settings. PDFs that are already highly optimised may not shrink — the tool tells you instead of silently inflating the file.

Why did my PDF barely shrink?

Because it is probably text-based rather than scanned. Compression works on the images inside a document, and a PDF exported from a word processor contains almost none — its pages are text and vector drawing instructions that are already compact.

Does compressing lose quality permanently?

In the new file, yes — the image data is re-encoded and the discarded detail does not come back. Your original is untouched though, so keep it and work from it if you later need a higher-quality version.

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