Sixteen free PDF tools that run in your browser. Compress, merge, split, redact, count tokens for LLMs, and more. Your files never leave your device. Nothing is uploaded or logged.
Most PDF sites upload your files to remote servers, process them there, and ask you to trust that everything was deleted. PDFShore takes a different approach: the code runs inside your browser, and your documents never leave your device.
When you drop a PDF here, no upload happens. The file stays in your browser tab. There is no server-side queue, no temporary storage bucket, and no network request carrying your data. Open DevTools and watch the Network tab while you work. You will see zero outbound file traffic. That is the proof.
The heavy lifting uses pdf-lib compiled to WebAssembly, running inside Web Workers so the page stays responsive. Your browser has the same power a server would, minus the privacy risk. OCR runs on-device with Tesseract.js, and the token counter uses a local copy of the cl100k_base tokenizer. No API calls, no cloud dependency.
Lawyers reviewing contracts, HR teams processing payslips, healthcare workers redacting patient data, students preparing grant proposals. If a document matters enough to protect, it should not travel through someone else's infrastructure. PDFShore removes that risk entirely.
The result is a set of PDF tools that work the way security-conscious professionals expect: fast, offline-capable, and structurally incapable of leaking your files. No account to create, no email to verify, no trust required.
No account, no upload queue, no waiting room.
Guides on PDFs, privacy, and preparing documents for AI workflows.
· by Max Shore
A hidden-text scan can identify visibility signals in a PDF. Here is what those findings mean, and what they cannot prove about intent or AI behaviour.
Read article· by Max Shore
Scanned PDFs often contain invisible OCR text for search and accessibility. Learn how to review that layer before relying on it in an AI workflow.
Read article· by Max Shore
A PDF may fit at the start of an AI chat and still crowd the conversation later. Plan tokens for follow-ups, answers, and repeated context.
Read articleShort, honest answers.