Guide
AI receipt scanners: what the AI actually does
An AI receipt scanner photographs a slip and turns it into fields — date, merchant, total, sometimes tax and line items — so you can search and group your records instead of retyping them. That is the whole benefit, and it is a real one. What it does not do is remove the need to look at the result, because faded thermal paper, discounts and foreign currency are all still places where extraction quietly gets a number wrong.
What the AI is actually doing
Two jobs, stacked. First, optical character recognition reads the pixels and produces text. Then a model decides which parts of that text are the date, the merchant, the total, the tax and the line items. The second step is the one that has changed in the last few years — reading a receipt was never the hard part, understanding an unpredictable layout was.
This is why results vary so much between one receipt and the next rather than between one app and the next. A clean supermarket receipt with a printed header and a clearly labelled TOTAL line is close to solved. A handwritten market slip, a taxi docket with two totals on it, or a restaurant bill where the tip was added by pen is a genuinely ambiguous document, and the model is guessing at the same thing you would be guessing at.
Where extraction goes wrong, specifically
Four places, consistently: faded thermal paper where the ink has gone, receipts with a discount or a refund line that competes with the total, foreign-currency slips where the symbol is misread or dropped, and anything with two plausible totals — subtotal and total, or amount and amount due. These are not rare edge cases; they are ordinary receipts.
The failure mode that costs you is not the obvious one. A scan that fails to read anything is harmless, because you notice immediately. A scan that reads £48.20 as £4.82 looks like a finished record and goes into your books wrong. That asymmetry is the whole argument for a check step: the errors that survive are the ones that look fine.
The review step is not optional
Read the total against the slip before you save. It takes about two seconds per receipt and it is the difference between a set of records you can defend and a set that merely looks complete. Any app that presents extraction as finished rather than as a draft is overselling, ours included if we ever describe it that way.
The practical version of this: check the total always, check the date when the receipt is more than a few days old, and check the merchant when the header is a franchise or a trading name that differs from the brand on the door. Everything else can be fixed later from the image. Those three fields are the ones you will search on.
Automatic categorisation is a suggestion
Most AI scanners will also propose a category. Treat that as a starting guess rather than an answer, because the category depends on why you spent the money and the app cannot see your reason. The same £30 at the same hardware shop is materials on one job and a personal repair on another.
The useful way to use it is to let the model handle the obvious cases — fuel is fuel, a mobile bill is a mobile bill — and to correct the ones that turn on intent. If you find yourself correcting most suggestions, your category set is probably built around your business in a way no general model would infer, which is a good sign for your books and a reason to stop expecting the automation to help there.
What to check before you commit to one
Export first: what comes out, in what format, and whether it costs extra. Then editability — every extracted field should be correctable, because they will need correcting. Then search by merchant and amount. Extraction accuracy is the thing people compare and the thing that matters least, precisely because you should be checking the figures either way.
The export question is the one that gets skipped and the one that hurts. A tool that can only show your records inside itself has made your own history conditional on your continued subscription. Ask what a year of receipts looks like on the way out before you put a year of receipts in — the same question this site asks about every app in the category, including its own.
Where the receipt image goes
AI extraction generally means the image leaves your phone and is processed on a server. That is worth knowing rather than worth panicking about, but if your receipts carry client names, addresses or anything you have a duty of care over, read the app's privacy policy and its data-retention terms before you upload a year of them.
The questions with real answers: is the image kept after extraction, for how long, and can you delete it. Whether the provider trains on your data. Where the processing happens, which matters if you are subject to rules about where records live. Most people are fine either way; the point is to have decided rather than assumed.
AI is not usually the bottleneck
The reason receipt keeping fails is almost never that transcription was too slow. It is the gap between getting a receipt and doing anything with it. A perfect scanner used every third week produces worse records than a notebook used every day.
So the honest ranking of what to fix is: the capture habit first, the four fields second — date, merchant, amount, reason — and the extraction technology a distant third. AI is a genuine improvement to the tedious part of a system that already exists. It is not a system.
What ours does, and what it costs
AI Receipt Scanner photographs a receipt, extracts the fields into an editable record, and lets you search and group them. Entering, organising and searching receipts is free with no cap. The AI scanning itself is metered — five free scans, then credit packs or Pro — and exporting your records requires Pro.
That pricing shape is stated here because it decides whether the app is any use to you. If the point of the exercise is handing a file to an accountant, export is the feature you are buying and it is behind the subscription. If you want a searchable pile of receipts on your phone and you will type the occasional total yourself, the free tier genuinely covers it.
Questions
Common questions
How accurate is AI receipt scanning?
Good enough to remove most of the typing, not good enough to leave unchecked. Clean printed receipts are close to reliable; faded thermal paper, discount lines, foreign currency and slips with two totals are where a figure most often comes out wrong. Read the total against the slip before saving, whichever app you use.
What can an AI receipt scanner extract?
Typically date, merchant, total and tax, and often the individual line items. Some also propose a category. The first four are the fields you will search on and the ones worth checking; the category is a guess the app makes without knowing why you spent the money.
Is there a free AI receipt scanner?
Several apps have free tiers, and what they meter differs — some cap the number of scans, some cap storage, some put export behind a subscription. Ours keeps entering, organising and searching free with no cap, meters AI scanning at five free, and puts export behind Pro. Check which limit applies before you migrate a year of records.
Do AI receipt scanners work on faded receipts?
Partially, and this is the single most common failure. Thermal paper fades from the edges and from heat, so a receipt that sat in a car for a summer may have no readable total at all. The fix is upstream: capture on the day, while the print is still there.
Does the receipt image leave my phone?
Usually yes — AI extraction is generally done on a server rather than on the device. Check the app's privacy policy for whether images are retained after extraction, for how long, and whether they are used for training, particularly if your receipts carry client information.
Is an AI scanner better than typing receipts into a spreadsheet?
For volume, yes; below roughly a handful of receipts a month, no. A spreadsheet costs you a minute per receipt and nothing else, and it is a perfectly good system at small scale. The scanner earns its place when typing has become the reason you stop.