Put ink on the page.
Write naturally with the refill on ordinary paper.
The Vahini sensor pen
Write on paper.
Capture the movement.
A pen in development that records motion and tip force while you write. Built around ordinary paper and a replaceable ink refill.
Prototype in development · Indian Patent No. 584433
Ordinary paperUse your notebook or worksheet
Real inkA replaceable writing refill
Bluetooth LEDesigned to connect to your device
USB-CRecharge through a standard cable
How it works
One stroke. A record of how it happened.
Capture the signals.
Two motion sensors and a tip force sensor record the movement.
Move the data.
Bluetooth and onboard storage support the recording workflow.
Learn from the writing.
Recognition and writing-support models are part of our research.
The sensor pen
Study the movement.
The pen adds timing, motion and force to the written page. We are developing the hardware, firmware and dataset needed for motion-based recognition.
- Dual-IMU sensing at a design rate of 208 Hz
- Tip force for contact and pressure research
- Offline recording and Bluetooth connectivity
Available online
Check a page today.
The photo-based handwriting analyser works with your own pen. Upload a clear page to explore letter formation, spacing and other visual factors.
- A photo of handwriting is the input
- 20-factor feedback and practice suggestions
- Sensor hardware is not required
Useful details
The questions that matter.
Keep the practical information close. For the full engineering figures, visit the specifications page.
View specifications & estimates →What is available now?
The online handwriting analyser is live. The sensor pen is a prototype in development; contact us about demonstrations or research collaboration.
Do I need special paper?
The pen is designed to write with ink on ordinary paper. Motion recording does not depend on a printed dot pattern.
What are the battery estimates?
The current estimates are around 15 hours of continuous recording and about 2 hours to charge over USB-C. Final-unit performance remains to be confirmed.
Can it recognise my handwriting?
Motion-based character recognition is part of Project Akshara research. A signal recording and a validated recognition system are different milestones.
When can I buy it?
Contact the team for the current development status. Production availability, price and final dimensions will be confirmed before launch.
Put your use case on the page.
Tell us what you want to write, capture or study.