1-page scanned ID document
- Input
- 3.5 MB
- Expected output
- ~0.4 MB
Very high-resolution phone scans usually have the widest reduction margin.
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compress scanned pdf
Scanned PDFs are exactly the case where resampling-based compression works best: every page already IS an image, so reducing its resolution (DPI) and JPEG quality is a direct operation, without the risk of destroying vector text the way a computer-generated document would.
Very high-resolution phone scans usually have the widest reduction margin.
Long, batch-scanned documents benefit a lot, and the tool's batch processing helps when they come as several separate files.
No, and the tool warns you before you waste any time. Scanned or photo-heavy PDFs usually shrink a lot, because the source image had more resolution than needed. A PDF generated from Word, LaTeX or Google Docs, made almost entirely of vector text, tends to get worse with resampling-based compression, because the only way to compress without a server is to rasterize every page, turning crisp, searchable text into a blurry image. The tool analyzes the document first and classifies the verdict as mostly image, mixed, or mostly vector text.
No, compression works the same with or without OCR, it resamples each page's image. If the PDF already has an embedded OCR text layer, it is worth checking the before/after preview, since very low quality can hurt OCR done later on the compressed file.
Yes, up to 10 files per batch, all processed with the same preset and available for individual download or as a single .zip.
Drag one or more PDF files here, or choose them with the button below
Up to 10 files at a time. Nothing is uploaded to any server.
All processing happens in your browser: no PDF is ever uploaded to a server, not for analysis and not for compression.