Why Avessia?
Because the label matters more than the barcode.
Most ingredient scanner apps start with a product barcode. Avessia starts with the actual ingredients label.
That difference matters.
Barcodes can be useful for identifying a product, but they are not the ingredient list itself. Product databases can contain gaps, outdated records, regional variations, or formulation drift over time. If the underlying product record is wrong, incomplete, or old, the result can be wrong too.
Avessia is built differently. We read the ingredients panel directly from the product you are holding, because that is where the formulation information lives.
Label first
We read what is on the pack
Avessia uses advanced optical character recognition (OCR) technology to scan the ingredient label itself and convert it into machine-readable text.
That means the assessment starts from the source: the printed ingredients list on the product.
This approach helps reduce problems caused by:
- outdated product databases
- missing ingredient records
- barcode mismatches
- formulation changes over time
- regional or retailer-specific product differences
When the goal is ingredient accuracy, the label is the most important source.
Machine learning
Built on recent advances in machine learning
Accurately reading ingredient labels is not a trivial problem.
Ingredient panels are often:
- small
- densely printed
- curved around bottles or tubes
- affected by glare, shadows, or packaging distortion
Recent advances in machine learning have made it possible to read these labels far more effectively than older scanning systems. Avessia uses state-of-the-art OCR technology running on our host systems to extract ingredient text from real product labels with a very high degree of accuracy.
This is what makes a label-first approach practical at consumer scale.
Source of truth
Why we do not rely on barcodes alone
A barcode can help identify a product, but it does not guarantee that the linked ingredient record is current, complete, or correct.
Products change. Formulas are updated. Packaging changes. Databases drift.
That is why Avessia does not treat a barcode lookup as the source of truth for formulation analysis.
Instead, Avessia reads the ingredient label directly, then matches the extracted ingredient list against our ingredient database and scoring system.
The result is a process designed around the formulation actually shown on the product.
Our testing
A stronger ingredient starting point.
In our own side-by-side testing across 10 products and 3 other ingredient apps, Avessia produced a more accurate ingredient listing in 97.5% of comparisons.
That result reflects the core reason Avessia was built: ingredient analysis is only as good as the ingredient list it starts with.
If the ingredient capture is wrong, everything that follows is compromised. If the ingredient capture is right, the assessment has a much stronger foundation.
Trust, not guesswork
Designed for trust, not guesswork
Avessia is designed to give you a clearer starting point for evaluating personal care products.
We aim to do that by:
- reading the ingredient label directly
- using advanced OCR to extract the text
- matching ingredients against our database
- applying your personal concern settings
- showing supporting ingredient summaries and scientific references where available
This creates a more transparent process than relying on a barcode record alone.
The Avessia Challenge
See the difference for yourself
You do not have to take our word for it. Avessia includes a free daily allocation of scans, so you can test it for yourself and compare the results against other apps.
Try scanning the same product side by side and see which app gives you the more complete and accurate ingredient list.