What this tool actually does
NovaTools loads the PDF with pdf-lib and saves it again using PDF object streams. The operation runs in your browser and does not intentionally upload the PDF file to NovaTools.
Important limitation: this implementation does not rasterize or downsample the document pages. It therefore cannot promise a specific percentage reduction. PDFs that are already efficiently encoded can remain about the same size or become larger.
How to use it
- Choose a PDF up to 50 MB.
- Select Optimize PDF.
- Compare the original and output sizes.
- Download the result only if it is useful for your workflow.
- Open the downloaded PDF and verify important text, pages, links and form content before sharing it.
When this may help
- PDFs containing inefficient internal object structure.
- Files that benefit from a clean structural rewrite before storage or handoff.
- Quick local optimization when you do not want to upload the document to a remote compression service.
When to use another approach
For image-heavy scanned PDFs, the largest savings usually require image downsampling, recompression, OCR-aware processing, or a dedicated PDF optimizer. This NovaTools implementation does not currently perform those operations.
Privacy boundary
The PDF file itself is processed in your browser for this operation. The website may separately load consent-controlled analytics or advertising services and public site assets; those services are not used to process the contents of the selected PDF.
Frequently asked questions
How much smaller will my PDF become?
There is no guaranteed reduction. The result depends on the source PDF and can be smaller, similar in size, or larger.
Does “maximum compression” lower image quality?
No such preset is offered because the current implementation does not downsample page images. The interface exposes only the structural operation that the code actually performs.
Are my PDF pages uploaded to NovaTools?
Not for this PDF operation. The file is read by browser JavaScript and the output is generated locally.
