Remove backgrounds, fix lighting, upscale supplier photos, and export Amazon/Etsy/Shopify-compliant images — all on your computer. Your real product photos, cleaned up. Not AI-invented pixels. No subscriptions, no cloud uploads, no per-image fees.
45-day money-back guarantee · No questions asked
You know the drill. Shoot your product on the kitchen table. Upload it to a cloud tool. Pay per image. Download the result. Realize Amazon rejected it because the white isn't white enough. Open another app to fix the color. Re-export. Re-upload. Repeat for 200 products.
Meanwhile, remove.bg is charging you $39/month, PhotoRoom wants $13/month, and you're still running back and forth between three different tools just to get a compliant listing image.
And the new generative AI tools (ChatGPT, Gemini, Photoroom AI) make it worse, not better. They invent pixels — smoothing textures, hallucinating details, "improving" your product into something that isn't quite what ships. Amazon's main image policy requires the actual product. Get caught and your listing gets pulled. The opposite shortcut — reusing brand or stock photos — gets resale accounts banned outright on every major marketplace. Why marketplaces ban stock photos →
There's a better way.
Strip backgrounds from product photos in seconds. Handles hair, fur, lace, transparent packaging, and jewelry filigree. Replace with white, custom colors, gradients, or your own images.
Under 2s on GPU · ~20s on CPU · no GPU requiredShot your product under warm kitchen lights? That yellow tint is costing you sales. ListingGems auto-corrects exposure and white balance so your product looks studio-lit. Colors stay accurate. Whites stay white.
AI exposure correction + automatic color balancingTurn a 400px Alibaba thumbnail into a 2000px listing hero. AI generates real detail, not blurry mush. Take a supplier screenshot and make it listing-ready.
500px in, 2000px out · works on any imageStop guessing whether your image will pass. Amazon pure white background, Etsy square crop, eBay and Shopify dimensions. Select your marketplace, hit export. It's compliant. Every time.
9 presets: Amazon, Etsy, eBay, Poshmark, Shopify + moreDrag a folder in. Every image gets the same treatment: same background, same padding, same colors. Your catalog looks like it was shot in one session, even if it wasn't.
200 photos in under 4 minutes on a mid-range GPUCloud tools upload your photos to their servers. Your unreleased products, private label packaging, supplier shots, all on someone else's infrastructure. ListingGems processes everything on your machine. Nothing leaves.
Your images never leave your computer
Kitchen table to clean studio shot in one click. Three AI models, pick the one that fits your GPU.
Yellow casts, dark corners, washed-out colors. The AI fixes what your phone couldn't, so every shot looks like a professional lightbox.
That tiny supplier photo? Now it's a high-res listing image. 4x enlargement with HFA2k.
| ListingGems | remove.bg | PhotoRoom | Aiarty | ChatGPT / Gemini | |
|---|---|---|---|---|---|
| Price | $49 once | $39–89/mo | $10–35/mo | $75 once | $20/mo |
| Per-image cost | $0 forever | $0.14–1.99 | ~$0.02 (API) | $0 | Rate-limited |
| Shows your real product | ✅ Segmentation | ✅ | ✅ | ✅ | ❌ Generates / invents pixels |
| Amazon main image safe | ✅ | ✅ | ✅ | ✅ | ⚠️ Misrepresentation risk |
| Background removal | ✅ | ✅ | ✅ | ✅ | Indirect (prompt-based) |
| Exposure correction | ✅ | ❌ | ❌ | ❌ | ❌ |
| White balance fix | ✅ | ❌ | ❌ | ❌ | ❌ |
| AI upscaling | ✅ | ❌ | ❌ | ❌ | ❌ |
| Marketplace presets | ✅ 9 platforms | ❌ | Basic templates | ❌ | ❌ |
| Runs offline | ✅ 100% local | ❌ Cloud | ❌ Cloud | ✅ Local | ❌ Cloud |
| GPU accelerated | ✅ CUDA + DirectML + CPU | N/A (cloud) | N/A (cloud) | Partial | N/A (cloud) |
| Batch processing | ✅ Unlimited | Credit-limited | 50–250 images | ✅ | ❌ One at a time |
A batch of 200 product photos finishes in under 4 minutes on a mid-range GPU.
The same batch on remove.bg? 15+ minutes of uploading, processing, and downloading — plus $28 in credits.
Drag your photos in
AI does the work
Ready for any marketplace
64-bit. NVIDIA or AMD GPU for fast processing, or CPU-only mode.
64-bit. NVIDIA GPU (CUDA) for fast processing, or CPU-only mode.
NVIDIA GTX 1650+ or AMD (Windows). ~1–2s per image vs ~20s on CPU.
No GPU? ListingGems still works — just slower. macOS support coming soon. More details in the FAQ ↓
one-time payment — yours forever
45-day money-back guarantee · No questions asked
Yes. $49 and it's yours permanently. No subscriptions, no credits, no usage limits. Process one image or one million — same price. All future updates are included at no extra cost.
The other tools run AI on their cloud GPUs, so every photo you process costs them server time — that's why they charge $13–35/month or per-credit. ListingGems runs on your computer's GPU, so processing has zero marginal cost on our end. That cost structure is what makes a $49 one-time price sustainable.
It's also a solo-founder venture, not a VC-backed company — no investor pressure to maximize revenue per user means no subscriptions, no usage caps, no upsells.
Three models to choose from:
Both BiRefNet (2024, Nankai University and collaborators) and BEN2 (2025, Prama LLC) report state-of-the-art results on the DIS-VD benchmark — the standard test for clean cutouts on fine details like hair, fur, and translucent edges. BEN’s 2025 paper edges out BiRefNet by a small margin (S-measure 0.917 vs 0.905). For typical marketplace products the segmentation quality matches what you’d get from cloud tools like remove.bg or Photoroom.
Model cards: BiRefNet ONNX · BEN2
Very close. On the BiRefNet authors’ own DIS-VD benchmarks, the lite model scores about 95–97% of the full model on the main segmentation metrics (S-measure 0.882 vs 0.911, weighted F-measure 0.830 vs 0.875). In practice on typical marketplace products — clothes, shoes, electronics, jewelry, homewares — the difference is hard to spot, which is why we ship lite as an option.
The full model has a noticeable edge on the very hardest cases: long flyaway hair, fine lace, semi-transparent fabrics, complex fur patterns. Pick full if you do a lot of those, or BEN2 if you want balanced quality with a smaller download than the full BiRefNet.
Only for the initial model download (about 110–470 MB depending on the model you choose). After that, ListingGems works completely offline. No cloud, no API calls, no data sent anywhere.
ListingGems works on any Windows or Linux computer. A dedicated NVIDIA GPU (GTX 1650 / 2019 or newer, 4GB+ VRAM) or AMD GPU (Windows only) speeds things up dramatically — under 2 seconds per image. Without a GPU, it still works on CPU, taking about 20–30 seconds per image depending on the model variant you pick.
Three honest limitations to know about:
Amazon (Main + Secondary), Etsy, eBay, Poshmark, Mercari, Depop, Facebook Marketplace, and Shopify. Each preset auto-crops to the platform's required dimensions. Amazon Main enforces a pure white background.
No — every major resale marketplace (Depop, Poshmark, Mercari, eBay, Vinted, Facebook Marketplace) bans stock photos, even for genuine items. The brand owns the photo under copyright law, and platforms enforce this with permanent suspensions and frozen balances. Use a phone photo of the actual item you're selling. Full breakdown by platform →
Input: JPEG, PNG, WebP, HEIC, and AVIF — drop photos straight from your iPhone or Galaxy, no conversion needed. Output: JPEG, PNG (with transparency), and WebP — with marketplace-specific optimization for each format.
Yes. The AI models handle complex edges including glass, transparent packaging, jewelry, and reflective surfaces. For tricky cases, the built-in touch-up brush lets you refine edges by hand.
Generative AI tools invent pixels. They're built to generate plausible imagery — which means they smooth textures, idealize surfaces, and hallucinate details that aren't on your actual product. That's fine for lifestyle scenes (your product in a kitchen, on a beach, in a model's hand). It's risky for Amazon main images, where the policy requires the photo to accurately represent the real product. Misrepresentation gets listings pulled.
ListingGems uses ML segmentation, not generation. It identifies where your product ends and the background begins, then swaps the background. Your real photo of your real product — just background-cleaned and Amazon-sized. No invented details, no policy risk.
Use generative AI for lifestyle shots. Use ListingGems for the photo Amazon actually grades you on. Full Photoroom comparison →
ListingGems includes a manual eraser and restore brush for edge refinement. If the AI misses a spot or removes too much, you can paint it back in or erase it with precision.
Your images never leave your computer. There is no cloud connection, no upload, no analytics on your photos. The AI models run entirely on your hardware. Ideal for sellers working with unreleased products, private label designs, or confidential supplier materials.
Full refund within 45 days, no questions asked. Email support@listinggems.com with your order number or purchase email, and we'll process it within 48 hours. You can also go through our payment provider Creem if you prefer — full details on the refund page.
Checkout is processed by Creem (Armitage Labs OÜ, registered in Estonia), an EU-based payment provider for software companies. They handle the card form, PCI compliance, and VAT — ListingGems never sees or stores your card details. When you click Buy Now, you'll be taken to a Creem-hosted checkout page; that's expected.
Yes — each license supports up to 3 device activations. You can deactivate a device anytime from Settings to free up a slot.
macOS support is coming soon. The ML infrastructure for Apple Silicon (CoreML) is already built in — we just need to test and package it.
Upscaling uses HFA2k, a neural network that enhances detail and sharpness. Speed depends on image size and your hardware. With a GPU: about 1 second per tile (~1 minute for a 2048×2048 image). On CPU: about 8 seconds per tile. Images larger than ~2048×2048 pixels are too large to upscale — crop or resize them first. Background removal and lighting correction are separate steps and remain fast regardless of upscaling.