Frequently Asked Questions

SneakPrice is a sneaker market intelligence platform that turns the chaotic world of resale into clear, actionable data. With support for 21 international languages and the Sneaker Stock Exchange — a Bloomberg-style live market view of the entire global sneaker economy — it pulls real listings from eBay, StockX, GOAT, Stadium Goods and other major marketplaces in real time, then normalizes them into a single market price for every model we track. Behind the scenes: • Our computer-vision model identifies the sneaker from a photo or live camera frame. • Our market engine scans live listings across every major resale platform. • We calculate an average resale price, trend direction, volatility, and a liquidity score. • Our arbitrage engine flags cross-platform price gaps so you can buy low and sell high. • The Sneaker Stock Exchange aggregates everything into brand indexes (SPX-NIKE, SPX-ADIDAS, SPX-JORDAN, etc.) and a master SPX-RETRO benchmark, so you can track the market the way traders track the S&P 500. You see the real resale value — not a guess, not a single marketplace's number, but a true cross-market average updated continuously.

Getting started is simple: 1. Sign up at https://sneakpriceapp.com — free, no credit card required. 2. From the home page, scan a sneaker. Use your camera in real time, upload a photo from your gallery, or paste an image URL. The app identifies the model automatically against a catalog of 1,000+ entries. 3. Instantly see the market report: average resale, trend direction, comparable listings, retail vs. resale delta, and a flip score. 4. Save sneakers to your portfolio, set price alerts, and explore the Sneaker Stock Exchange for live indexes and arbitrage deals. 5. Upgrade only when you want more — the free tier covers the basics for life.

SneakPrice is built for everyone in the sneaker ecosystem: • Buyers: Confirm a listing isn't overpriced before clicking "buy now". See average resale across every major platform side-by-side. • Resellers & flippers: See real-time average resale, demand, volatility, and liquidity before listing. Our flip score tells you if a pair is worth the capital tie-up. • Collectors: Track your collection's mark-to-market value and individual pair appreciation over time. Get notified when grails move. • Arbitrage traders: Our deal engine surfaces cross-platform price gaps — buy on eBay at $180, sell on StockX at $260, for example. • Authenticators: Cross-reference suspicious "deals" against real market ranges. If something is 40% below market, it's usually wrong. • Market researchers & journalists: Pull historical price trends, brand indexes (SPX-*), and category-level signals. • Casual fans: Just curious what your old pair is worth? Scan it in 5 seconds.

Not at all. SneakPrice is designed for everyone — collectors, casual buyers, full-time resellers, and first-time sneaker fans. If you can take a photo or open a web page, you can use it. Our AI identifies the sneaker for you, our market engine pulls live prices for you, and our Stock Exchange dashboards visualize the data with zero spreadsheet work. Deeper analytics (alerts, portfolio tracking, arbitrage deals, the SPX brand indexes) are one click away when you're ready for them — but you can ignore them entirely and still get the full value of instant market pricing.

Yes — both. SneakPrice accepts three input methods, and they all feed the same vision pipeline and market engine: 1. Live camera: Open the scanner and point your phone or webcam at the sneaker. The app identifies the model in real time and pulls live market data within seconds. Works directly in your browser — no app install required. 2. Photo upload: Tap "Upload photo" and pick any image from your camera roll or device storage. JPG, PNG, HEIC, and WEBP are all supported. The maximum file size is 2 MB. 3. Image URL paste: If you saw a sneaker on Instagram or a marketplace listing, paste the image URL into the scanner and we'll fetch it for you. Tip for best accuracy: a clean side profile with the toe pointing left or right dramatically improves identification — especially for nuanced colorways.

The most common reason for an upload error is file size. Uploaded photos must be 2 MB or smaller. Modern phone cameras routinely produce photos in the 4–10 MB range, so straight-from-camera shots often get rejected. Easy fixes that bring an oversized image under 2 MB: • iPhone: open the photo in the Mail app, attach it to a draft, and choose "Medium" or "Small" when prompted — Mail compresses to well under 2 MB. Then save the compressed copy and upload that. • Android: most gallery apps have a "Resize" or "Compress" option in the share/edit menu. Set the long edge to ~1200 px. • Desktop / browser: drop the image into a free compressor like tinypng.com or squoosh.app and download the smaller version. • Screenshot trick: take a screenshot of the original photo. Screenshots are typically well under 2 MB and still good enough for our vision model. Resizing does not meaningfully hurt scan accuracy — our model works fine on photos as small as 40–80 KB. If you've resized to under 2 MB and the upload still fails, contact us at https://sneakpriceapp.com/contact with the image attached and we'll investigate.

Our vision model recognizes 60+ classes and over 1,000 catalog entries, but no AI is perfect — especially with extreme lighting, partial views, or rare collaborations. If a sneaker is misidentified, here's what to do: 1. Re-take the photo: a clean side profile on a neutral background lifts accuracy dramatically. Avoid harsh shadows and try to capture the full silhouette. 2. Use the manual override: every scan result has a "Wrong sneaker?" link that lets you search our catalog and correct the match. Your correction is saved to your scan history and feeds back into our training data so the model improves over time. 3. Search directly: if you already know the model, skip the scan and use the search bar at the top of the site — it indexes every entry in the Sneaker Encyclopedia. 4. Report the miss: use the contact form at https://sneakpriceapp.com/contact and include the photo. Reports go directly into our retraining queue. Every correction makes the model better for the entire community.

You're always in full control of your photos and scan history: • To delete a single scan: open your scan history, tap the scan, and use the "Delete" button. The photo and its metadata are removed immediately. • To bulk-delete: from your dashboard, select multiple scans and use "Delete selected". • To wipe everything: under Settings → Privacy, you'll find "Delete all scans" and "Delete account". Both are irreversible and execute immediately. • Photos uploaded by mistake (wrong sneaker, blurry shot) can be removed instantly — they're never shared publicly and only used for your own market reports. Deleted photos are purged from our storage layer, not just hidden. We don't retain shadow copies. If you'd like a confirmation, contact us at https://sneakpriceapp.com/contact and we'll send written confirmation of the deletion.

A few simple tips raise accuracy from "usually right" to "essentially perfect": • Side profile: photograph the shoe from the side with the toe pointing left or right — that's the view our model is trained on most heavily. • Clean background: neutral wall, table, or floor. Avoid busy patterns. • Even lighting: daylight or a soft lamp. Skip flash, which washes out colorway details. • Full silhouette: include the entire shoe — toe to heel, sole to laces. • One shoe per frame: a clean single-shoe shot beats both shoes squeezed in. For ultra-rare or new collabs, you may still need to use the manual override — but a good photo gets the right match the first time on the vast majority of mainstream models.

Our prices are sourced from live listings across eBay, StockX, GOAT, Stadium Goods, and several other major resale platforms — not estimates or static price tags. For each model we compute: • Average resale: the mean of recent comparable listings, filtered for outliers. • Trend (7d, 30d, 90d): direction and magnitude of price movement. • Volatility: how much prices swing — important for flip-risk modeling. • Liquidity: how many recent comps exist — a single overpriced listing doesn't move the number. • Flip score: combines all of the above into a single buy/hold/sell signal. Refresh cadence varies by tier: free users see daily-refreshed data; paid users see near-real-time updates. For ultra-rare or recently-released pairs with thin comp data, we flag the result as "low confidence" rather than fabricate a number.

For mainstream models with healthy comp volume — Air Force 1, Air Jordan 1, Dunk Low, New Balance 550, Yeezy 350 — our averages typically sit within 5–10% of where pairs actually transact. For thinner markets (rare collabs, niche brands, just-released drops), the range widens and we explicitly mark results as low-confidence rather than pretend. We never guarantee a sale price — that's market behavior, not a number we control. What we do guarantee: the data we show is built from real listings, refreshed continuously, and filtered for outliers and bots.

No. SneakPrice provides estimates and market signals based on live and historical listing data. Actual sale prices depend on condition, size, timing, marketplace fees, and buyer demand on the day of sale. Treat our numbers as a strong baseline for negotiation and decision-making — not a promise.

The Sneaker Stock Exchange (/exchange) is a Bloomberg-style live market view of the entire global sneaker resale economy. It features: • SPX brand indexes — SPX-NIKE, SPX-ADIDAS, SPX-JORDAN, SPX-NEW-BALANCE, SPX-ASICS, SPX-PUMA, SPX-CONVERSE, SPX-SAUCONY, SPX-VANS — each tracking the weighted average resale price of that brand's most-traded models. • SPX-RETRO — our master benchmark covering the broader retro and heritage market. • Price-band indexes — track the entry, mid, and premium tiers separately. • Live arbitrage feed — cross-platform deals flagged the moment they appear. • Heatmaps, gainers/losers, and volume leaders. Think of it as the financial-market view of sneakers: you're not just seeing one pair, you're seeing the entire ecosystem in motion.

Yes. Every scanned or manually-added pair can be saved to your portfolio, complete with purchase price, condition, and acquisition date. From there you get: • Mark-to-market valuation: every pair re-priced continuously against live market data. • Unrealized P&L: per-pair and total — both in dollars and percent. • Allocation breakdown: how your collection splits across brands, eras, and tiers. • Index comparison: see if your portfolio is outperforming SPX-NIKE, SPX-RETRO, or the broader sneaker market. • Exit signals: alerts when a pair crosses a price threshold or our flip score flips from "hold" to "sell". Your portfolio is private by default. Sharing is opt-in if you ever want to show off your collection.

Set an alert on any saved pair and we'll notify you the moment the market crosses your threshold: • Price targets: "Notify me when this drops below $200" or "...climbs above $400". • Trend alerts: "Notify me on a 7-day move greater than 10%". • Arbitrage alerts: "Notify me when the StockX–eBay spread exceeds $50". • Free tier: basic alerts on a limited number of pairs. • Paid tier: unlimited alerts, faster cadence, and a system-broadcast layer for breaking market moves. Alerts are delivered by email; in-app push is on our roadmap.

Our deal engine continuously scans listings across every major marketplace and flags pairs where the same shoe is selling for materially less on one platform than another. For example: a Travis Scott Air Jordan 1 listed on eBay at $1,200 while comparable pairs on StockX are clearing at $1,500 is a $300 spread before fees — that's a flagged deal. Each flagged deal shows: • The platform with the underpriced listing. • The platform's typical clearing price. • Estimated margin after typical marketplace fees. • A direct "buy" link to the source listing. Free users see a limited daily sample; paid users see the full live feed.

Yes — there is a permanent free tier that includes: • Daily sneaker scans via camera, upload, or URL. • Full access to the Sneaker Encyclopedia — every model, every colorway, every history note. • Read-only view of the Sneaker Stock Exchange and SPX brand indexes. • Basic price alerts on saved pairs. • Multi-language support across all 21 languages. Paid tiers unlock higher scan volume, unlimited alerts, full portfolio tracking, the arbitrage deal feed, historical data exports, and priority support. Pricing is shown transparently inside the app — no hidden fees, no surprise charges, cancel anytime.

Yes — SneakPrice is fully translated into 21 international languages, including English, Spanish, French, German, Italian, Portuguese, Dutch, Japanese, Korean, Mandarin Chinese, Arabic, Hindi, Russian, Turkish, Polish, Swedish, Norwegian, Danish, Finnish, Greek, and Vietnamese. Switch languages from the dropdown in the top-right of every page. Prices and market data are localized automatically based on your settings.

Yes. We take privacy seriously: • Photos you scan are stored privately under your account and never shared publicly. • Your portfolio, scan history, and alerts are visible only to you unless you explicitly opt in to sharing. • We never sell user data to third parties. • You can delete individual scans, your full history, or your entire account at any time. Deletions are immediate and permanent. • Authentication is handled by Clerk (industry-standard, SOC 2 compliant). Payments are processed by Stripe. • Read the full policy at https://sneakpriceapp.com/privacy.

We're here to help. Reach us at any of these: • Contact form: https://sneakpriceapp.com/contact (fastest path; routes by topic). • FAQ & help center: https://sneakpriceapp.com/faq. • Press & partnerships: https://sneakpriceapp.com/press. For account or billing issues, sign in first so your message routes to the right queue. Most replies go out within one business day, and complex issues get a human, not a script. If you've hit a bug, attaching a screenshot or the URL where you saw it helps us reproduce and fix it faster.