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padhlebeta
Convert notes
About

Built by a student, for students.

Padhle Beta started with a simple frustration. Coaching lecture slides are designed for screens — dark backgrounds, white text, slick gradients. They look great in class. They are a disaster when you try to print them.

One Saturday morning, after burning through a ₹900 ink cartridge printing a 200-page chapter, the project began. The first version was a Python script that converted one PDF at a time. It was ugly, slow, and only worked on a laptop with Python installed.

This site is the same idea, but done properly: entirely in your browser, no upload, no signup, no install. You drop a file in, you get a printable file back. That is it.

What we believe

  • Free should mean free. No "first 3 files free", no watermark on output, no upsell wall. The tools on this site will always be free for the things students actually need.
  • Your files are yours. Every tool runs in your browser. We never see your PDFs, your notes, or your data. We literally could not sell them even if we wanted to.
  • Indian students deserve better tooling. Most PDF software is built for office workers in North America. We are building for the specific problems of NEET/JEE/Boards students who print coaching notes at home.

What's free, and what's coming

All five core tools are free today and will stay free: dark to light, merge, compress, image to PDF, and extract pages. If the site grows enough to need server-side features (OCR, server-side compression), we may add a paid tier for those specifically. The browser-based tools will not become paid.

How to support

  • Share the site with friends who are also struggling with ink costs. Word of mouth is the only marketing we do.
  • Star us on GitHub — it helps other students find the project.
  • Send feedback. If a tool is broken, slow, or missing something obvious, we want to know.

Open source

Every line of code that runs this site is open source and lives at github.com/gautamproduct/padhlebeta . Audit it. Fork it. Suggest a pull request. The privacy promise is verifiable because the code is auditable.