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Palm reading scanner that traces your real lines

Hold your hand up to the camera or upload a photo. The scanner finds 21 points on your hand, traces your main creases on your own skin, and lets you drag any line it got wrong.

Start your palm scan

A palm reading scanner should be able to show you what it looked at.

We read the pages of three palm scanners that turn up for this search: palmist.io, palm-reading.app and palmreading.pro. Each returns a written reading, and at least one adds a sketch of the lines. None of their pages says how the lines were found or offers a way to correct one.

This one works in four steps you can watch. The pictures below are real output from those steps, on one licensed photo of a hand.

What the scanner does to your photo

Nothing in this sequence is drawn by an illustrator. Each picture is what the code produced, and your own result shows the same four pictures of your hand under the heading "How it was traced".

A photo of an open right hand with a thin white skeleton drawn through the 21 points the hand model found
21 hand pointsThe wrist, then four points along the thumb and each finger.
The same palm warped to a straight-on view, with a square grid laid over it
A flat palmSix of those points fix a warp to one straight-on rectangle. The grid is square in that space.
A black and white map of the palm in which only the creases show, as dark lines
A crease mapA ridge filter keeps thin dark lines. Everything else on the skin goes.
The crease map, faded, with three solid blue lines and one dotted blue line traced over it
The traced linesThe cheapest route along each crease. Dotted means the scan isn't sure, as with this fate line.
Fig. 1. ExampleReal output of the scan on a sample hand, not yours. Photo: "P1000330" by Dr. Colleen Morgan, CC BY 2.0, cropped and scaled.

Finding the hand

The first job goes to MediaPipe Hand Landmarker, a model from Google that places "21 hand-knuckle coordinates" on a hand in a still image or a live video. It runs inside your browser, from files this site serves. It also says whether it is looking at a left or a right hand, so you never have to.

On a live camera it reads frame after frame and tells you what to change, one instruction at a time: "Bring your hand closer", "Spread your fingers", "Hold your palm flat to the camera". When your hand holds still, it takes the picture. A photo gets several tries at different sizes and turns, because the model often misses a hand in a large picture and finds it once the picture is cleanly scaled down.

Flattening the palm

Nobody holds a hand perfectly square to a lens. So the wrist, the base of the thumb and the four knuckles at the base of the fingers fix a warp that turns your palm into the same upright rectangle every time. A left hand gets mirrored for this, so one map of the palm serves both hands, and it is mirrored back before you see it. Lengths are still measured against your palm's width in the original photo, so the warp doesn't bend the numbers.

Building the crease map

A crease is a thin dark valley in the skin, and that shape is what the filter looks for. Red hides creases, so it works from a mix that is mostly blue with some green. It evens out the light inside the palm, so a bright side and a dim side count the same. It tests for valleys at four widths, then gives extra credit to marks that carry on in one direction, which is how a long crease beats a patch of speckle. Palm-line detection is an old problem in biometrics, where researchers separate the principal lines from wrinkles "much thinner than principal lines and much more irregular". Fig. 1 shows the same difference.

Following each line

Each line has a band where palmistry says it starts and a band where it ends. The scanner finds the cheapest route between them across the map, the way a route planner would, where following a dark crease is cheap and cutting across clean skin is expensive. It solves the heart line first, then life, head and fate, with rules that keep them apart: the other three stay below the heart line, and only the head line may share the life line's first stretch.

Then it checks the ends. A sharp corner near the end of a path means the search left its crease to reach the zone, so that part is cut, and the line is followed along its own heading until the crease fades. The end you see is where the line stopped, measured, and not a point the search was aimed at.

A path search always finds a path

That is the catch in this method. Ask for the cheapest route across any palm and you will get one, even on a hand with no such crease. So a line on the screen proves nothing by itself.

The test comes next. The scanner runs the same search 18 more times on your palm, between random points, and compares each line with those random paths. A real crease should hold far more evidence than a path that was only looking for the nearest dark mark. Your result prints the numbers for your hand. Here they are for the hand in Fig. 1, from a sharp still and from a compressed video clip of the same photo.

Example, on the sample hand. "Beaten" is how many of the 18 random paths the line beat. "Strength" is the line's evidence over the typical random path's.
LineStill: labelBeatenStrengthVideo clip: labelBeatenStrength
Heart lineHigh18 of 182.15xHigh17 of 181.70x
Head lineHigh18 of 182.57xHigh18 of 182.13x
Life lineHigh17 of 181.85xMedium16 of 181.34x
Fate lineLow15 of 181.45xNot found3 of 180.73x

The label then decides how firmly anything is said about that line, in the trace and in your reading:

  • High shows on screen as "Clear". You get the line's length and where it ends, stated plainly, with handles in case you disagree.
  • Medium shows as "Fairly clear". The length comes with an "about", and you are asked to check.
  • Low shows as "Faint, worth a check". Nothing is claimed about its shape. You are asked to drag it to where you see it.
  • Not found is never drawn or described. The line is offered for you to place yourself.

In our own test a High line was almost never wrong, and a Low line often was, which is the reason it asks rather than tells. The test was small, and we marked it ourselves. The figures and the reasons to doubt them are on the methodology page.

Getting a clean scan

  1. Find even light and clear anything off your palm.
  2. Press Start my scan, pick a question if you like, and choose your camera or a photo.
  3. Hold your whole open hand up, fingers apart, until the scanner takes the picture. With a photo, this happens by itself.
  4. Watch your lines get traced. Tap any line and drag its handles if it looks wrong.
  5. Press See my reading.

If the scanner can't get everything it wants, its checks relax the longer you hold your hand up, and a "Use this frame" button appears, so you are never stuck on one instruction. Phones that allow it also get a camera light and a switch between cameras on the stage.

  • A whole open right hand with the fingers apart, filling the frame

    Reads well

    The whole hand, fingers in the shot and apart, palm flat, nothing on it.

  • A close crop of only the lower palm, with the fingers cut off

    Fingers cut off

    Close-ups of only the palm usually aren't detected at all. The model needs the fingers to know it's looking at a hand.

  • An open hand with a pen lying across the palm

    Something on the palm

    The commonest cause of a wrong trace in our test. A pen, paint or an object has an edge, and the trace follows it.

  • An open hand with the hard edge of a shadow running across the palm

    A hard shadow

    To the filter, a sharp shadow edge looks like a crease. Soft, even light does more for you than bright light does.

  • An open hand turned away from the camera at an angle

    Tilted

    You'll see "Hold your palm flat to the camera". The flattening step helps, but past a point the ratios have to fall back on depth estimates, and those are noisier.

  • A small hand far away in the middle of the frame

    Too far away

    You'll see "Bring your hand closer". Fine creases need pixels: on the photos we called clear, the palm was at least about 300 pixels wide.

Fig. 2One good picture and five common ways to lose a crease. In blue: what you want traced, or what gets in its way.

When it gets it wrong

These are the faults we saw when we tested it, most useful first. Knowing them will tell you which of your own lines to check.

  • Something on your palm.

    Pens, paint, objects and projected light. The hand model's own card lists objects, jewellery and henna as out of scope, and most wrong traces on poor photos in our test came from this.
  • The bottom of the life line.

    The commonest fault on clear photos. It starts right, then slides onto a parallel crease or stops early. Look there first, and drag the lowest handle.
  • The fate line.

    Many hands have several lengthwise creases, and the search picks one of them. In our test it was fully right on very few hands, so it is treated as a line for you to check or place, whatever its label says.
  • A hand with few creases.

    A hand with one crease across it can get a head line placed on a wrinkle, and a faint heart line can be missed. Both come back labelled low, or not at all.
  • Forks and breaks.

    Most breaks the search reported turned out to be the trace straying off its crease. So your reading never mentions a break, and it hints at a fork only on a clear line, in words that allow for being wrong.
  • The smaller lines.

    When we switched on the search for the sun, marriage, children and money lines, every trace it made was wrong by eye. So it stays off, and those lines are yours to place.

That list is why every line has handles. Tap a line and drag one: it snaps to the nearest crease between your handles and measures itself again, so what you read afterwards rests on where you put it. Your reading says when a line was placed by you. The arrow keys move a handle too, and "Put it back" undoes it. For more on correcting lines, the line tracer opens with the handles already showing.

Camera or photo

Start with the camera, because it guides your hand into place and you watch your creases light up as you hold still. A sharp still can still beat it. The table above shows the same hand reading more confidently from a still than from a video clip, though our clip was heavily compressed, which may explain much of that. We haven't yet measured the scanner on real phones in real hands, so treat that as a clue and not a rule. If a camera scan comes back mostly faint, take a picture with your phone's own camera in good light and upload it.

Which hand to scan

Either one, since the scanner works out which hand it is seeing. Cheiro's advice was that "both the hands should be examined together", the left for "natural tendencies", the right for what you have made of them. Other traditions choose by gender, and they don't agree with each other. Which hand to read sets them side by side.

What a scanner can't do

It measures creases. It doesn't see your future, and neither does anything else: biologically, as one 2019 paper puts it, the line of life "is merely another flexion crease", and its authors note there is no evidence behind claims that palm reading software can forecast anything. What the scan reports about your life line is the length and curve of a crease, and nothing more.

What your result says about a line comes from a fixed library of sentences written in advance, drawing on old books and labelled as tradition. No AI reads your hand in the free scan. For the studies, including the one that seemed to find something, see is palm reading real.

A scanner, a photo app or a person

These do different jobs. For the scan itself, the free palm reading scanner costs nothing and needs no account. Listed prices for apps are compared in our guide to palm reading apps, and there is advice on sitting with someone in palm reader near me.

What looks at your hand
This scannerA hand model, a crease filter and a path search, in your browser.
A photo-to-text appOften a language model reading your photo on a server. The pages we read rarely say.
A personSomeone trained in one school or another, holding your hand under a good light.
What you can check
This scannerThe trace, its label and its measurements. You can move any line.
A photo-to-text appUsually only the finished text. A fluent paragraph reads the same whether it saw your lines or not.
A personYou can ask why, and see where they're looking.
What it misses
This scannerSmall marks, the finer lines, and how raised a mount is.
A photo-to-text appYou can't easily tell.
A personLess on your hand, but a reader can read you too. In 1927 Markun noted that a wedding ring is a clue fortune tellers watch for.
What it costs
This scannerThe scan and one full line are free.
A photo-to-text appAnything from free with paid extras to a weekly subscription.
A personAbout $25 to $100 for a private 30 minutes in the US, as a rough guide from listed providers.

Whichever you pick, the lines mean what the tradition says they mean, and no more. If you'd like to learn it yourself, our palm reading guide takes you through a hand, and the map of palm reading lines shows what each one is called. A sample reading shows where the paid version goes from there. Everything else the same scan can do is on the tools page.

Read next

Sources

  1. Hand landmarks detection guideTechnical documentation. Google AI Edge, MediaPipe
  2. Model Card: Hand Tracking (Lite/Full) with FairnessTechnical documentation. Google MediaPipe, 2021
  3. Palm-Line DetectionResearch paper. Liu L, Zhang D. Hong Kong Polytechnic University
  4. Predicting longevity from the line of life: is it accurate?Study. Lucas T, Dhugga A, Henneberg M. Anthropological Review 82(2), 2019
  5. Palmistry for AllTradition source. Cheiro, on Project Gutenberg, 1916
  6. What You Should Know About PalmistryA skeptic's survey of the old books. Leo Markun, on Project Gutenberg, 1927
  7. Palm reading costPrice roundup. ThePricer, updated 13 October 2026
  8. Free AI palm reading scannerProduct page, read 4 November 2026. palmist.io
  9. palm-reading.appProduct page, read 4 November 2026
  10. palmreading.proProduct page, read 4 November 2026

The Complete Palm Reading reads the rest of your hand for $9.99.What's in it

Questions people ask

Is a palm reading scanner real or fake?
The scanning part is real software: it finds points on your hand and follows the creases on your skin, and you can watch it do so. The reading part is tradition. No scanner can see your future, because no good evidence shows that palm lines predict anything. Judge a scanner by whether it shows you what it looked at.
How does the scanner find my lines?
MediaPipe's hand model places 21 points on your hand, and six of them flatten the palm to a straight-on view. A ridge filter then turns thin dark creases into a map, and a path search follows the cheapest route along the map for each line. Each line is then compared with 18 random paths on the same palm to decide how far to trust it.
Is the scanner accurate?
On a clear photo of an open hand it usually finds the heart, head and life lines. It is much weaker on the fate line and it doesn't search for the smaller lines at all. Every line gets a label saying how sure it is, and you can correct any of them. Our test figures, with their sample sizes and limits, are on the methodology page.
Why did it miss a line on my hand?
Usually because the crease is faint in that photo, something is on your palm, or a shadow edge looked more like a crease than the crease did. Try even light and a flat, open hand. If the line is still missed, drag it into place: it snaps to the nearest crease between your handles and gets measured again.
Which is better, camera or photo?
The camera guides your hand into place, so start there. A sharp still can give the engine more to work with: in our bench test the same hand read more confidently from a still than from a compressed video clip of it. If a camera scan comes back faint, take a photo in your phone's own camera and upload that. We haven't yet measured either on real phones.
Is the palm reading scanner free?
Yes: the scan, your traced lines, your hand type and one full line reading are free, with no account and no email. The Complete Palm Reading is the paid part. The free palm reading page lists what's in each.
What light and pose work best?
Even light with no sharp shadow across your palm, your whole hand in the picture with the fingers in view and apart, and your palm flat to the lens. Keep it still for a moment. Take off anything that sits on the palm.
Which hand should I scan?
Either: the scanner works out which hand it is seeing and draws the lines the right way round. Cheiro wanted both read together, the left for natural tendencies and the right for what you've made of them, so scan the other one too if you're curious.
Does it work on darker skin, older hands or faint lines?
Faint lines come back labelled as faint, and you're asked to check them. On skin tone, our test shows no big gap, but it has too few dark palms from real-world photos to rule one out, and we say so on the methodology page. Older hands appear only in part of our test set, and we didn't measure them separately.
What happens to my photo?
The privacy page sets out step by step what happens to a photo or camera frame, what is stored and which services are involved.

Now watch it work on your own hand

The same four steps, on your palm, with every line yours to move.

Read my palm