Support

How can we help?

Frequently asked questions, privacy information and direct contact.

Frequently asked questions

No. FingerCode does not interact with any device, does not hack anything and never attempts any kind of forced access. It is a capture and statistical-analysis tool that works entirely inside the app itself.

What it does is capture the pattern of your muscle memory and organize the statistics of your taps. The result is a list of sequences ranked by frequency and statistical confidence — not a certainty — which you interpret and decide whether to try manually on your device.

No. FingerCode is 100% offline. It has no servers, requires no internet connection and collects no data. Everything you capture is stored only in your iPhone's local memory.

If you delete the app, all data disappears permanently. There is nothing in the cloud.

Any numeric PIN you have used repeatedly: the PIN of a previous iPhone, a bank card, a safe, a digital lock, an app passcode, a locker padlock, and so on.

Muscle memory is stronger the longer you used that PIN in the past, so the analysis tends to be sharper in those cases.

It depends on how long it's been since you used the PIN. In general, between 50 and 200 attempts is usually enough for a clear statistical pattern to emerge.

The app shows you metrics in real time so you can see when the statistical confidence stabilizes and decide when to stop.

Shapes: replaces the numbers with colored symbols. It activates spatial memory instead of numeric memory. Useful when you don't remember the digits but you do remember the "path" your hand made.

Blank: empty circles, no hints at all. You force the movement purely from muscle memory — the most demanding mode, and the most reliable when it works.

The vibration-guided rhythm stops you from falling into mechanical "fast loops" where you simply repeat the last sequence without thinking.

Each attempt should be an independent, genuine reproduction of your memory. The vibration marks the exact moment when you can type again.

Statistical confidence combines two factors: frequency (how many times that sequence appeared) and proximity (whether its repeats happen clustered together in time).

A sequence that appears many times AND with clustered repeats gets high confidence. It's a strong statistical signal of muscle memory — but it remains an estimate that you must interpret, not a certainty.

On three lines of research: procedural memory and motor chunking (the brain packs heavily repeated sequences into a single automatic movement), cognitive interference or "choking" (thinking consciously breaks the automatic movement — which is why we use the haptic rhythm), and keystroke dynamics (with enough samples, statistics cancel the noise of human movement).

Inside the app, the "The Science" section explains each pillar and cites the founding studies (Grafton & de Xivry, Beilock & Carr, Killourhy & Maxion, among others).

Yes, completely. FingerCode works the same on a plane, in areas with no signal, or with Wi-Fi off. All the logic, data and analysis are local.

FingerCode is designed to recover your own PINs or those of devices over which you have legitimate authority (a deceased relative, a minor in your care, a company device you are responsible for).

Using it to try to access other people's devices without authorization may be a crime. The user is responsible for how they use the app.

Privacy

No data collection

FingerCode does not collect, process or transmit any personal data. We don't even know how many users the app has.

No analytics or telemetry

We use no analytics tools, no cloud crash reporting and no third-party SDKs that collect data.

Local storage only

All analyses and attempts are saved locally with SwiftData on your device. When you uninstall the app, all data is permanently deleted.

No advertising

The app shows no advertising and shares no data with any ad network.

Legal documents

Responsible use

Contact

Didn't find your answer?

Write to us and we'll reply within 48 hours (business days).

[email protected]