Drop PDF files here or click to browse
Select one or more PDFs to compress
Drop files to add
Upload a single PDF to estimate whether compression will produce a meaningful size drop.
Extreme mode uses very aggressive image compression (quality 10%). Text remains sharp but images may show visible artifacts. Best for reducing email attachment size when image quality is not critical.
Compression complete!
Original
Compressed
Compress one PDF to see what the size drop really means.
The result panel will explain whether this compression is enough, what limitation still matters, and which next step fits the file.
Compression is strongest on image-heavy PDFs. Text-first or already-lean files may not shrink much further.
Download the smaller PDF first, then move to the next PDF route only if the file still needs another job.
Trust the smaller file when the gain matches the file type and the visual quality still clears the actual handoff need.
Switch to split or back to earlier cleanup when the size drop is too small for the real limit or when further compression would damage quality more than it helps.
Compress one PDF to generate a concise handoff summary.
The decision layer will show why merge or split comes first, when to loop back for edits, and when this result is already enough to keep moving.
Compression is step 2 of the PDF suite.
The PDF suite chain is extract to DOCX, compress the final PDF, then merge the packet. This block keeps the final handoff explicit instead of ending at download.
Step 1 was getting the document into a workable PDF form after extraction or editing.
Step 2 locks in the smaller PDF so the suite continues from the lighter working copy.
Step 3 is Merge PDF once the smaller file is ready to join the packet.
Total original
Total compressed
Batch compression is ready for the next PDF step.
Download the smaller files first, then merge or split only the ones that still need another pass.
Batch compression is the handoff before merge.
Use these smaller files as the merge-ready set, or loop back to PDF to Word only for the files that still need content edits.
Return to the PDF workflow with the next step already decided.
These cards keep only local result metadata. The original PDFs and compressed outputs are not stored here, so reruns still require re-upload.
Saved in `localStorage` on this browser only, not uploaded, not synced, and auto-expired after 30 days.
No PDF files, no compressed blobs, no per-page payloads, and no long-term batch contents. Only summaries and next-step links stay behind.
Resume detector, PDF, and image jobs from one local-first task home.
This cross-suite job home keeps recent and saved work together so the next continuation path is still visible when you return.
Everything here stays in `localStorage` on this browser only. Nothing syncs to an account, server, team, workspace, or API.
Recent jobs surface what you touched last. Saved jobs pin the items you expect to revisit later. Each card keeps the primary path first and the alternate path second.
Shared summaries travel outside the app. Saved jobs stay here as your local return point with the proof memory that explained why the next step was trusted or switched. Clear or delete any item when you no longer want it kept for up to 30 days.
This stays free and local-first today. If real before/after evidence, bookmark, email, sync, account-level memory, export packs, or shared handoff layers come later, they should extend saved proof context without blocking the free local job now.
Run this tool in three short steps.
PDF yükleyin
Bir veya daha fazla PDF dosyasını ekleyin.
Seviyeyi seçin
Boyut ve kalite dengesine göre sıkıştırma seviyesini belirleyin.
Sonucu indirin
Sıkıştırılmış PDF dosyasını indirip boyut farkını görün.
What people ask before they use this tool.
Boyut ne kadar küçülebilir?
Metin seçilebilir kalır mı?
Dosyalar tarayıcı dışına çıkar mı?
Continue the workflow
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Coda One PDF sıkıştırma aracı, kalite ayarlanabilir biçimde doğrudan tarayıcıda çalışır. E-posta ekleri, başvuru formları ve yükleme sınırları olan iş akışları için uygundur.