Compress PDF to 1MB
Shrink your PDF to under 1MB for job portals, university applications, and email attachments with strict file size limits.
Drop PDF to compress
All processing happens in your browser
Why PDF File Size Limits Exist on Portals
Online filing systems limit PDF uploads to preserve server storage and ensure quick processing. A 15MB CV uploaded by thousands of candidates would create serious database costs. Systems like LinkedIn Easy Apply, Workday, SuccessFactors, university portals (UCAS, SNBP), and government e-filing platforms all enforce strict limits.
The most common PDF size limits are 1MB (government), 2MB (university), and 5MB (job portals). Having a clean, compressed PDF ready means no last-minute scrambling before a deadline.
When You Need a PDF Under 1MB
Job Applications
Resume and cover letter PDFs for portals like LinkedIn, Indeed, Glassdoor, and direct company applicant tracking systems.
University Applications
Transcript, portfolio, and supporting document submissions for UCAS, Common App, or Indonesian SNBP/SNBT portals.
Government e-Filing
Tax documents, permit applications, and business registration submissions via government online portals.
Email Attachments
Most email servers have a 10–25MB attachment limit, but large PDFs slow delivery and frustrate recipients.
How to Compress a PDF to Under 1MB
- Upload your PDF by clicking or dragging it into the upload area.
- Select your compression level: Low (preserves quality, modest reduction), Medium (balanced), or High (maximum compression).
- Click Compress. The tool processes your PDF on our server and deletes the file within 1 hour.
- Download the compressed PDF and verify the file size in your file browser.
- If the result is still above 1MB, compress again at a higher compression level.
How to Get the Smallest Possible PDF
Scanned PDFs (photos of physical documents) compress much better than text-based PDFs because they contain large embedded images. For scanned documents, High compression typically achieves a 70–80% size reduction with no visible text quality loss at normal reading zoom.
For text-heavy PDFs (resumes, reports), the gains are smaller (20–40%) because text data is already efficiently compressed in modern PDF format. If a text-only PDF is above 1MB, it likely contains embedded high-resolution images or an embedded font set that can be optimized.
What PDF Compression Actually Does
Text content in modern PDFs uses the Flate (zlib) compression algorithm and is already highly efficient. The font data embedded in PDFs can also be subset-embedded (only including the characters actually used), which our compressor performs automatically to save additional space.