On the App Store. Free to download.
Scan any product. Get an instant score built from real data across the internet, not from sponsored posts.
Bio&Me porridge pot 91
The problem
Most reviews don't fail because people lie. They fail because incentives distort the truth.
Sponsored posts, affiliate payments, and automated accounts turned product discovery into a guessing game. When money, promotions, or algorithms decide what gets seen, honest sentiment gets buried beneath noise.
Sift listens where people are least filtered. Not polished reviews. Not sponsored opinions. Real conversations, where frustration, praise, and nuance still exist.
The app
Every screen below is Sift running on iPhone. The scores are real results the app produced for those products.
One number tells you where a product stands. Below it, each category is scored on its own, so you can see exactly where it wins and where it slips. Every point is tied to something people actually reported.
Bio&Me Super Seedy & Nutty Porridge Pot 91 Excellent
A poor product gets a poor score, and Sift says why. Concerns appear as specific findings drawn from what people reported, ranked by severity, rather than disappearing into a comfortable average.
Johnson's Baby Powder 35 Poor
When a product falls short, Sift shows higher scoring alternatives in the same category, with the difference in score next to each one. No affiliate link sits behind any of them.
Replacing a product scored 20 82 and 83 found
A live view of recent scans across categories, from food to audio to skincare, so you can see how products are actually performing before you reach the shelf. Your own scan history sits alongside it.
Recent scans 97 88 65
Process
Point the camera at a barcode, search by name, or upload an image. Here is what happens next.
Collection
The engine searches thousands of public discussions across Reddit, YouTube, forums, and review sites, looking for the unfiltered experience that marketing tends to hide.
Filtering
Not every comment is real. Sift removes bot spam, promotional affiliate links, and repetitive astroturfing patterns, to isolate genuine human experience.
Synthesis
What remains is synthesised into a clear verdict. Not a generic 4.5 stars, but the specific issues and highlights pulled out of real usage stories.
Sources
What Sift reads, what it throws out, and why the difference matters.
Deep dive threads on Reddit and forums, where people talk about longevity, specific flaws, and what a product was actually like to live with.
Real user feedback found underneath product review videos on YouTube and other platforms.
Specialised enthusiast communities where people with real domain knowledge share detailed, unfiltered opinions.
Posts tagged as advertising, or where commercial promotion patterns are detected.
Search optimised sites built for one purpose, which is generating affiliate link clicks.
Sift analyses strictly public content on the open web. It never touches private messages, protected groups, or personal identifying information.
More detail on data ethics is on the data sources page.
Transparency
Sift uses natural language processing to read sentiment. It does not simply count keywords.
Sift Core Index
The score for the porridge pot above. Every product is scored from 0 to 100.
What people say, and how strongly they say it, across every source that survived filtering.
What is in the product, what each ingredient does, and its likely impact with regular use.
Whether people felt the product justified its price, in their own words.
What actually happened when people used it, over weeks and months rather than on day one.
The algorithm assigns weight based on context, source credibility, and consensus. A detailed, heavily upvoted analysis carries more weight than a short generic comment.
Independence
Sift does not claim absolute truth. Sentiment changes. Communities evolve. Some products simply do not have enough meaningful discussion behind them.
When a product is too new or too niche, Sift says it has insufficient data rather than guessing. When confidence is low, it shows that too.
Scores are opinion based and informational. They are a snapshot in time, and they can change as products are reformulated or as new information appears. They are not a factual guarantee or professional advice.
Support
Open the app and point your camera at the product's barcode. Sift detects and analyses it automatically. You can also search by typing a product name, or upload an image of the product.
Sift uses automated mechanisms to analyse publicly available information about products, including user reviews, ingredient data, and expert opinions from across the internet.
Scores are opinion based and informational. They should not be treated as factual guarantees or professional advice.
Subscriptions are managed through your Apple ID. On your iPhone or iPad, go to Settings, then your name, then Subscriptions, to view, change, or cancel your plan. Cancellation takes effect at the end of the current billing period.
All payments are processed by Apple. To request a refund, visit reportaproblem.apple.com and follow the steps for the relevant purchase.
You can delete your account inside the app, at Settings, then Account, then Delete Account. You can also email info@sift-scanner.com with the subject "Account Deletion Request".
Deletion is permanent. All data is removed within 30 days.
Yes. We use encrypted cloud infrastructure, never sell your data, and do not use advertising trackers. Our privacy policy has the full detail on how information is collected, stored, and protected.
Please do. Email info@sift-scanner.com with the product name and your concern. We review every report and may update the analysis. Scores are generated by algorithms and can sometimes be inaccurate.
Sift runs on iPhone. The App Store lists iOS 18.4 or later as the requirement. An internet connection is needed for scanning and analysis.
We typically reply within 24 to 48 hours, and we read every message.
Monday to Friday, 9am to 6pm GMT
Free on the App Store. No ads, no affiliate links, no brand can pay to look better.
iPhone only. Requires iOS 18.4 or later. Version 1.0.21.
On the App Store. Free to download.
