Split PDF files by page ranges, extract specific pages, or split into individual files
Drag & drop files here
or click to browse
Accepted: .pdf
Large file performance?
Browser local processing works best on Desktop for files over 100MB.
Extract specific pages or sections from large PDF files. Split by page range or create individual files for every page with one click.
Learn more about this tool and related topics in our blog.
Stop uploading sensitive documents to random servers. Learn how to manage, edit, and convert PDFs entirely in your browser without sacrificing privacy or performance.
From merging to OCR: Master your PDF workflow with these essential techniques. Professional results without the expensive software subscriptions.
"When I'm doing research for school, I usually just need one chapter from a huge book. I built this so I wouldn't have to scroll through 300 pages every time. It saves me so much time on my iPad!"
Azeem Mustafa
Privacy Architect
Drag PDF file—FileReader API loads as ArrayBuffer.
PDF.js parses document structure, builds page tree from catalog.
Canvas renders each page thumbnail (getPage(n).render to canvas context).
Click pages to select—stores page indices in array.
Click 'Split'—copies selected page objects + dependencies to new PDF blob.
Pull one page from large document
contract.pdf (50 pages) - need page 12
page_12.pdf - just the signature page!
Divide book into individual chapters
ebook.pdf (200 pages) - split pages 1-20, 21-45, 46-70...
chapter1.pdf, chapter2.pdf, chapter3.pdf...
Keep everything except specific pages
report.pdf - want pages 1-10, 15-20 (skip 11-14)
cleaned_report.pdf - unwanted pages gone
Get just one invoice from monthly statement.
Share document without sensitive info.
Split multi-section test into individual files.
Send just needed pages instead of huge document.
Splitting a PDF is not a simple cut-and-paste job. Each PDF has a complex 'Page Tree' structure consisting of /Pages and /Page objects. When you select specific ranges like '1-5, 12, 20-30', our engine must rebuild a new Page Tree from scratch. We iterate through the source document's Cross-Reference Table (xref) to locate each required page object. We then recursively trace all indirect references—including shared resources like /Font, /ExtGState, and /ColorSpace—to ensure the extracted PDF is self-contained. Finally, we generate an optimized xref table and trailer for the new file, ensuring it complies with the ISO 32000 specification for portable document formats.
Traditional 'cloud' splitters require you to entrust your entire document to their backend infrastructure. This creates a massive security liability. FileMint utilizes the HTML5 FileReader API and WebAssembly (WASM) to parse your PDF locally. When you browse through thumbnails, your computer is doing the rendering, not a remote server. The 'splitting' logic executes within a localized JavaScript sandbox, meaning that even if the original file is 500MB, not a single kilobyte of that data is ever transmitted over the network. This architecture provides not just speed, but the peace of mind that comes with total document sovereignty.
Our tool supports sophisticated range logic to handle any workflow. You can input ranges manually (e.g., '1-10, 15, 20-end') or use our visual multi-selector. Behind the scenes, we validate your input against the document's total page count to prevent runtime errors. For single-page extraction, we create a new PDF with a single entry in the /Pages root, effectively discarding all unneeded overhead from the rest of the document. For multi-range splits, you can choose to download each range as a separate file or combine your selection into a single, cohesive PDF without re-merging later.
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Learn more about this tool and related topics in our blog.
Stop uploading sensitive documents to random servers. Learn how to manage, edit, and convert PDFs entirely in your browser without sacrificing privacy or performance.
From merging to OCR: Master your PDF workflow with these essential techniques. Professional results without the expensive software subscriptions.