Guide · 7 min read
How to find a jewellery design in your catalogue from a buyer's WhatsApp photo
Compare the buyer's photo with your own catalogue images, pick the closest designs, and read their SKU, weight and purity from your item master. Without software, a salesperson does this by hand, scrolling PDFs and phone folders or asking whoever knows the catalogue. With a private catalogue search such as QuickLens, the salesperson forwards the photo on WhatsApp and the closest designs from your own catalogue come back with their SKU, weight and purity.
Pranshu Jain · founder · IIT Bombay
Last updated 31 October 2026
Part of the jewellery buyer's guide
How sales desks answer a photo enquiry today
The enquiry often arrives as a forwarded photo and one line: "do you have something like this, around 20 grams?" The photo might be a WhatsApp screenshot, a showroom picture with reflections, or a crop from another company's catalogue. Buyers send a photo or a sentence, rarely a design code.
Without software, the desk usually does one of these:
- Scrolls the PDF catalogue, the Google Drive folders or the photos on a salesperson's phone until something looks close.
- Filters the ERP by category and weight band, then opens designs one by one to compare them with the photo.
- Forwards the photo to the senior salesperson who knows the catalogue, and waits until they are free.
Each of these works on a small catalogue. On a large one, salespeople end up offering the designs they remember, and much of the catalogue is never shown. Inconsistent tags make text search unreliable too: one person writes 'kada', another 'broad bangle', a third leaves the field blank. And when the people who know the designs are busy or away, the enquiry waits, sometimes overnight.
Three ways to search for a design from a buyer's photo
The three answer different questions, so the right one depends on what you need back.
| Manual search | Google Lens | Private catalogue search (such as QuickLens) | |
|---|---|---|---|
| What it searches | Your PDFs, folders, ERP screens and your team's memory | The web, from a photo, image or screenshot | Your own catalogue images and SKU master, and nothing from the public web |
| What comes back | Whatever the person finds or remembers | Similar-looking items online, with who makes them and where to buy them | The closest designs from your catalogue, ranked with a match score, with SKU, weight and purity |
| Good for | A small catalogue, or a design someone remembers | Finding out what a design is and where it is sold online | Large catalogues, photo enquiries on WhatsApp, and letting anyone on the desk answer |
| Where it falls short | Slow on a large catalogue, and it waits for whoever knows the designs | Designs that aren't published online won't turn up in its results, and it can't read your weight and purity records | It needs your catalogue images and SKU master set up first, and a poor catalogue photo is harder to match. For a design you don't have, it returns the closest you do have |
| What you need to start | Time, and the person who knows the catalogue | A phone or the Chrome browser | Catalogue images and a SKU master. We start with a sample |
Google Lens is useful for finding out what a design is and who sells it. It isn't built to tell you which of your own designs is closest, because it searches the web and your designs, weights and purities live in your own records. For more on the difference, read Reverse image search on your own jewellery catalogue.
What you need before you start
- Your catalogue images. Search is built to run on catalogue photos as they are, so a re-shoot is usually not needed. Where photo quality genuinely limits matching, we tell you which parts of the catalogue are affected.
- A SKU master with weight and purity. We connect to your ERP over whatever it exposes: an API, database views or scheduled files. QuickLens runs alongside the ERP, and nothing is written back to it until a person approves.
- One person who owns the sales workflow. Everything else can be layered on later.
- Nobody has to tag designs first. Photo search matches the design itself, so nobody types 'kada' or 'broad bangle' against each SKU.
We start with a sample of your catalogue and expand once your team trusts the results.
Step by step: matching a WhatsApp photo with QuickLens
- The buyer's photo arrives on your sales WhatsApp, often with a weight in the message.
- The salesperson sends it to QuickLens on WhatsApp.
- QuickLens compares it with your catalogue. It reads the shape, motif and finish of the piece and ranks the nearest designs with a match score.
- The closest designs come back on WhatsApp, each with its SKU, weight and purity.
- The salesperson checks them against what the buyer asked for and sends the buyer the options that fit.
- If the buyer wants a price, the AI sales copilot prices the chosen designs on your live rates, making charges and margin rules, and drafts a reply for the salesperson to check and send.
The same search runs in the QuickLens web app and through a REST API, for desks that work at a computer or want results inside an ERP or dealer portal. The visual image search page shows a worked example: a bangle photo goes in and ranked SKUs come out.
What makes a buyer's photo easy or hard to match
Buyer photos are rarely catalogue shots. Matching reads the shape, motif and finish of the piece, so anything that hides those makes a match harder.
- A front-on photo of the whole piece, taken roughly the way your catalogue is shot, gives the clearest match. A steep side angle hides the outline.
- A tight close-up of a clasp, or of a few links of a chain, shows texture but little of the design, and many chains look alike up close. Ask for a photo of the full piece as well.
- Glare, reflections and coloured shop lighting change how gold and stones look. Daylight and a plain background help.
- Screenshots often include other pieces, price tags and text. Crop them so the photo shows the one piece the buyer means.
- Your catalogue photos matter as much as the buyer's. A design that is badly photographed in your catalogue is harder to find.
- If you don't have the design, search returns the closest ones you do have. When nothing is close, the enquiry goes to your design team, as it does today.
When no photo will do, describe the piece the way the buyer would, for example "letter P pendant with stones under 5 grams". The same search understands trade language and filters on category, weight band, carat and stone type.
Finding a design from a WhatsApp photo: common questions
Can Google Lens find a design in my own jewellery catalogue?
Google Lens searches the web, so it can find a design, or ones like it, when they are published online. Designs that aren't published online won't turn up in its results, and it can't read your item master, so it can't give you your own SKU, weight or purity. For that you need a search that runs over your own catalogue images and SKU master, such as QuickLens.
Is there an app that finds similar designs in my own stock?
Yes. QuickLens searches your own catalogue images and SKU master by photo and returns the closest designs, ranked, with SKU, weight and purity. It runs on WhatsApp, in the QuickLens web app and through a REST API, alongside the ERP you already use. Results come from your own designs and stock, and nothing from the public web.
Do we need to tag or re-shoot our designs first?
You don't need to tag them. Photo search matches the design itself, so nobody has to type 'kada' or 'broad bangle' against each SKU. A re-shoot is usually not needed either. Search is built to run on catalogue photos as they are, and where quality genuinely limits matching, we tell you which parts of the catalogue are affected.
What if the buyer's photo is a screenshot, a close-up or badly lit?
That is how real enquiries arrive. Matching reads the shape, motif and finish of the piece, so the more of those a photo shows, the better the match. Crop a screenshot to the one piece the buyer means, ask for a photo of the full piece when you get a tight close-up such as a few links of a chain, and prefer daylight to shop lighting. If no photo will do, describe the piece in words, the way the buyer would, and search by description.
Does this help a jewellery business answer WhatsApp photo enquiries faster?
In a pilot at a wholesale jewellery manufacturer, the typical photo enquiry was answered in the same conversation instead of the next day, and anyone on the sales desk could answer one, where before enquiries waited for the long-serving salespeople. Enquiries that needed a new design still went to the design team. How long one search takes depends on the photo and the catalogue.
Get started
Try it on a sample of your own designs
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