Pr

Privacy friendly suite of PDF tools

Hacker News

Privacy friendly suite of PDF tools

Hi HN, I have been working on a set of PDF tools that does all the processing directly in the web browser. From time to time I needed to do some simple PDF manipulations like merging PDF files. Sometimes the files contain my personal data and I was not comfortable using other online services where the file usually is uploaded to a remote server. Behind the scenes there is a small library written in C++ doing the changes to the PDF files. I am using the Emscripten compiler to compile it to WebAssembly that is running in the browser. It was a very good learning for me and it was easier than I thought to get something working, credits to the Emscripten project. The tool is also a PWA and can be used offline (once loaded). I am looking for any kind of feedback, comments or ideas for new tools that I could add.

Share card

Actual performance

99points
44comments
Made the leaderboard

Launch Intel predictions

Analyze your own launch →
Indie HackersFits the IH revenue-focused audience · Missing: supports, reddit linkedin, podcasting
62%62% predicted probability of success on Indie Hackers, based on ML models trained on real launch data.
Hacker NewsStrong engagement from HN community · Strong signals: ide, io · Missing: https docs, excited, just released
61%61% predicted probability of success on Hacker News, based on ML models trained on real launch data.
nativeThis product was originally launched on this platform.
Product HuntOn track for Day 1 leaderboard · Strong signals: new, using · Missing: mac, agents, macos
58%58% predicted probability of success on Product Hunt, based on ML models trained on real launch data.
AppSumoStrong fit for a featured deal · Strong signals: friendly · Missing: plus, platform, intuitive
57%57% predicted probability of success on AppSumo, based on ML models trained on real launch data.
TrustMRRLess likely to generate early MRR · Strong signals: personal · Missing: mobile apps, ios, entrepreneurs
41%41% predicted probability of success on TrustMRR, based on ML models trained on real launch data.
Acquire.comPre-revenue stage for this audience · Missing: arr, mrr, revenue
8%8% predicted probability of success on Acquire.com, based on ML models trained on real launch data.
BetaListMay not resonate with beta-testers · Missing: web3, chat, crypto
0%0% predicted probability of success on BetaList, based on ML models trained on real launch data.

Correct prediction on native model

Similar products

LocalPDF
LocalPDF12%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Privacy-first PDF tools, all processing in your browser

Product Hunt+6
MoguanPDF
MoguanPDF15%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Privacy-first PDF tools that run 100% in your browser

Indie Hackerscommitment-side-project
GoPDFTools
GoPDFTools20%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Privacy-first PDF tools that run entirely in your browser

Indie Hackerscommitment-side-project
PDFGem
PDFGem8%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Free Privacy-First Browser-Based PDF Tools

Indie Hackers
OptikAnalytics
OptikAnalytics68%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

All-in-one analytics suite & privacy-friendly GA alternative

Indie Hackers1analytics
PDF Force
PDF Force58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

All PDF Tools Free

Indie Hackers1$12/moadvertising
A2Z Edit
A2Z Edit42%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Privacy-Focused Image & PDF Tools

Indie Hackers1design
Riqa
Riqa58%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Pay-per-use PDF Tools

Indie Hackers1saas
PDFChampion
PDFChampion21%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Privacy-first, browser-native PDF tools processed 100% local

Indie Hackers1privacy-security
PDFly
PDFly35%Launch Intel prediction score: how likely this product is to succeed on its source platform, based on its name, tagline, and description.

Privacy-first PDF tools, EU-hosted, browser-side processing

Indie Hackers1b2b