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Meesho image generator: check it, square it, upload once.

Drop in a product photo and see what Meesho will see: size, square framing, background, sharpness and file weight, then download a 1000 by 1000 square with the product centred on white. It runs in this tab, so nothing is uploaded.

Free during early access · Forever free under 25 orders/day
app.robnu.com/catalog/qualityA clean, compliant catalog, scored and fixedOne click raises every listing to marketplace-ready97QUALITYHSN + GST 2.0 rateauto-filledLegal metrology fieldsauto-filledAI title + bulletsauto-filledSize run + barcodesauto-filled

Your photo

The file is read in this browser tab and never leaves your device. Nothing is uploaded, nothing is stored, and there is no account.

JPG, PNG or WebP. A single product on a plain surface.
Margin around the product inside the square.
Lower is a smaller file. 85 to 90 is the usual sweet spot.

What Meesho will see

Pick a photo to check it against the catalog rules and get a 1000 by 1000 square back.

This checks the mechanical rules: size, square framing, background, sharpness and file weight. It cannot tell you whether the photo sells, and no tool can promise approval, because a person reviews the picture rather than the file. What it removes is the re-upload you would otherwise discover a day later.

TL;DR
  • 1000 by 1000 pixels square is the recommended upload; 500 by 500 is the floor.
  • Padding onto white keeps the whole product visible, where a square crop cuts it.
  • The checks here are mechanical: size, square, background, sharpness, file weight.
  • No tool can promise approval, because a person reviews the picture, not the file.
  • Everything runs in this browser tab. Nothing is uploaded and nothing is stored.
Why re-uploads happen

Most rejections are mechanical, and mechanical is checkable

A rejected catalog image usually fails on something measurable: it is under the minimum size, it is not square so the crop eats the product, the edges are dark or busy, or the shot is soft. Those are exactly the things a browser can measure before you upload, which is the whole point of checking first rather than discovering it a day later when the listing is still invisible.

The rest is judgement, and no measurement replaces it. A watermark, a price badge, a borrowed photo or a product that does not match the listing will all fail review while passing every dimension rule, so read the image size and rejection rules alongside this, and the photo best practices for the part that decides whether a buyer taps at all.

One thing this cannot see
Text, logos, watermarks, price stickers and shipping claims printed inside the image. They are the most common surprise rejection, and they are invisible to a pixel check. Look at your own photo and take them out.
AI Catalog Studio
Images + videos
IMG_2041.jpg · shot on a phone
Dropped into the studio
A phone snap from your catalog, that's all it takes.
The rules behind the checks

What a catalog image has to be

Five rules carry almost every rejection. The tool above measures the first, the second and the fourth; the third and the fifth are yours to check by eye.

1000x1000 is the recommended upload and 500x500 is the floor. Square matters as much as the pixel count, because the app grid and the product page both crop to a square, so a rectangular photo loses part of the product.

The first image is what a buyer sees in search, so it has to be the product alone on plain white or a light neutral. Patterned bedsheets, coloured walls and props are a common rejection and a common reason a listing looks amateur next to a competitor.

No text, no price, no discount badge, no shipping claim, no watermark, no logo and no border. This tool cannot detect any of them, and they are the single most common cause of a rejection that a seller finds surprising.

A soft photo is the one problem no tool repairs. Enlarging a small blurry file makes it larger and blurrier. Shoot again in better light, tap to focus, and hold the phone steady or prop it up.

Images taken from Google, a supplier deck or a competitor listing are flagged as borrowed, and repeated copyright problems put a catalog at risk. Photograph the item you are actually shipping.

app.robnu.com/catalog/qualityA clean, compliant catalog, scored and fixedOne click raises every listing to marketplace-ready97QUALITYHSN + GST 2.0 rateauto-filledLegal metrology fieldsauto-filledAI title + bulletsauto-filledSize run + barcodesauto-filled
The Robnu way

One photo at a time is fine. A catalog is not.

Checking a file in a browser tab is the right tool for one photo. At fifty products with four images each it stops being the right tool, which is why Robnu’s AI Catalog Studio works from your catalog instead: pick a product, generate the packshot or a short reel, and it stays attached to that product rather than living in your downloads folder.

That sits inside an agentic OMS rather than beside one. Robnu runs the daily order operations on Meesho, AJIO and Amazon, tracks returns, files claims with evidence, and reconciles every payout to the rupee. It is not a listing tool and it does not upload your catalog for you.

Free for every seller right now, and forever free under 25 orders a day when paid pricing launches.

FAQ

Meesho images, answered

It reads your photo in the browser, checks it against the mechanical catalog rules (size, square framing, background lightness and evenness, sharpness and file weight), and gives you back a 1000x1000 pixel square with the product centred on white. It is the step that stops a re-upload, not a replacement for a decent photo.

No. The file is read with the browser's own FileReader, drawn to a canvas in the page, and handed back as a download. Nothing is sent to Robnu or anyone else, nothing is stored, and there is no account. You can check this yourself: open your browser's network tab and watch it stay silent while the tool works.

No tool can promise that, and any that does is overselling. Meesho reviews the picture, not the file: a photo can meet every dimension rule and still be rejected for a watermark, text, a borrowed image or a product that does not match the listing. What this removes is the mechanical half of the problem, which is the half that causes most repeat rejections.

Cropping to a square cuts the product when the photo is portrait or landscape, which is the most common way a good photo becomes a bad listing image. Padding onto white keeps the whole product visible and matches the plain-background rule at the same time. Use the breathing-space slider to control how much white sits around it.

It means the edges of your photo are light and even, which is what a clean packshot looks like to a measurement. It cannot see a watermark, a logo, text or a prop sitting in the middle of the frame. Read the catalog image rules alongside it rather than treating a pass here as permission.

This is a free utility with no signup. Robnu is an agentic OMS: it runs your daily Meesho, AJIO and Amazon order operations and reconciles every payout to the rupee, and its AI Catalog Studio generates packshots and short product reels from your own catalog rather than one file at a time. Free for every seller now, and forever free under 25 orders a day when paid pricing launches.

build ccfc1e68d61826ac8953ab7981c26f9ac943e519 · 2026-09-25T16:45:54Z