
BatchPurifier
Exif Eraser
Exif Tag Remover
Doc Scrubber
Attribute Magic
QPDF
Metadata Remover
mat2 is a metadata removal tool, supporting a wide range of commonly used file formats.

Adobe Acrobat DC
Smallpdf
iLovePDF
Sejda
PDF Expert
PDFStaple
Ordecto
Redact, edit, OCR, and sign PDFs entirely in your browser. The file never leaves your device. Free, no account needed.

Which is more popular?
Based on our record, mat2 seems to be more popular. It has been mentioned 15 times since March 2021.
Website, pricing, platforms and company facts side by side.
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| Website | 0xacab.org | keptpdf.com |
| Pricing | — | |
| Company | — | Startup from the United States · 2026 |
| Listed in |
In their own words, as submitted to SaaSHub.


No description of mat2 yet.
KeptPDF is a PDF toolkit that runs entirely in your browser. Nothing uploads: every tool runs on your own device, so the document never touches a server. What it does: Redaction that auto-detects names, SSNs, phone numbers, addresses, and dates, then removes the underlying text instead of drawing...
What each product offers, as listed by its team.


Possible disadvantages
How often each product is chosen within a category, 0–100% relative to the other.


As answered by people managing mat2 and KeptPDF.
KeptPDF's answer:
KeptPDF runs entirely in your browser. Your file, and the text inside it, never leaves your device. Not to an AI, not even to us. You can open your browser's network tab and watch: the document bytes never go out.
Most online PDF tools upload your file to a server first, and some "AI redaction" services quietly send your document text to a third-party model. That is the exact risk people are trying to avoid when they redact something.
KeptPDF also does true redaction. The text is removed from the file, not covered with a black box you can copy out later. Every redaction produces a verification certificate you can share with the file.
KeptPDF's answer:
Three reasons.
Privacy you can verify, not just a promise. Processing happens locally in the browser, so there is no upload step to trust. We do send anonymous usage counts for quota, and we say so plainly, but never your document.
Real redaction with proof. Removed text is permanently gone, and you get a certificate showing the file was checked for leftover extractable text. Automated detection cannot catch everything, so a final human review is still your job, and the tool says that too.
It works on a phone. Most PDF suites assume a desktop. KeptPDF was built and used on a phone first, so redacting a document while you are standing in a hallway actually works.
KeptPDF's answer:
Anyone who has to hand a document to someone else and needs the sensitive parts gone first.
In practice that is solo attorneys and small law firms, accountants and tax preparers, healthcare and records staff handling requests, HR teams, and individuals dealing with their own medical, legal, or financial paperwork.
The common thread is not an industry. It is a person who cannot upload a confidential file to a random website, and who does not have an enterprise IT budget to solve it.
KeptPDF's answer:
A family member got seriously ill. We spent most days at the hospital, and straight answers were hard to come by, so we leaned on AI tools to make sense of the records, notes, and lab results.
But you cannot paste a medical record into an AI chat. You have to strip the names, the ID numbers, the diagnoses first. And almost every tool we found either wanted to upload the whole file to a server, or "auto-redacted" by sending the document text to an online AI. That was the exact thing we were trying to avoid.
Most of this was happening on a phone, at a bedside. So I built the tool I needed: redaction that runs on the device, works on mobile, and never sends the file anywhere. That turned into KeptPDF, which is now a full PDF suite with over 20 tools, all local-first.
KeptPDF's answer:
The app is plain JavaScript with no front-end framework, which keeps it fast and keeps the code auditable.
PDF work happens in the browser using pdf.js for rendering and pdf-lib for writing. Text recognition uses Tesseract running as WebAssembly. Password and encryption handling uses a WebAssembly build of qpdf. It is a Progressive Web App, so it installs and works offline.
The thin server side is Node on Vercel, with Postgres for accounts, Stripe for billing, and Resend for email. None of those ever see a document.
KeptPDF's answer:
KeptPDF is early and independent, and we do not publish customer names. The product is privacy-first by design: we never see your documents, and we do not track who our users are or what they work on. Publishing a client list would sit badly next to that.
The user base today is mostly solo attorneys, small firms, accountants, and individuals handling their own records.
Share your experience with using mat2 and KeptPDF. For example, how are they different and which one is better?
Recommendations tracked on public social media and blogs since March 2021.


You could also use the privacy tool MAT 2. It is also available as a webapp (hosted by Systemli), although this may not be the best solution depending on your use case. Source: over 3 years ago
Metadata Cleaner which makes use of Mat2. Source: over 3 years ago
Otherwise you're maybe better off copying the files first and sanitising them before you create the tar. Maybe something like MAT can help here or you could write a script that performs some preset actions to remove or replace any... Source: almost 4 years ago
Tracking KeptPDF since Aug 2026.
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