# i spy — full content > i spy is a fashion discovery app. Find the pieces behind any outfit, save fashion finds from anywhere online, organise them into Boards, and shop when you're ready — free on iOS and Android. Home: https://www.ispyplatform.com/ ## How it works ### Find the pieces behind any outfit See an outfit you love but don't know where it's from? Upload an outfit photo or screenshot, or take a photo directly in the app. i spy finds the matching and similar pieces behind the look, helping you discover the products without manually searching or guessing what to type. ### Save fashion finds from anywhere Your fashion inspiration shouldn't disappear into screenshots, saved posts, and open tabs. Found something you love on Pinterest, Instagram, or any brand website? Tap the Share button and choose i spy. Your fashion find is instantly saved to your Closet. ### Organise everything into Boards Turn your saved fashion finds into collections you can actually use. Create Boards for holidays, events, wish lists, capsule wardrobes, or anything else you're planning. Keep your inspiration organised and easy to revisit. ### Discover what everyone's saving Fashion inspiration is better when shared. Explore public Boards from creators, brands, and the i spy community. Discover new styles, find new pieces, and save inspiration directly to your own Closet. ### Shop when you're ready Discovery and shopping don't always happen at the same time. Save what you love today and come back whenever you're ready. When the time is right, shop directly from the retailer. ## FAQ ### What is i spy? i spy is a fashion discovery app that helps you find the pieces behind any outfit, save fashion finds from anywhere online, organise them into Boards, and shop when you're ready. ### How do I find the pieces behind an outfit? Upload an outfit photo or screenshot, or take a photo directly in the app. i spy finds the matching and similar pieces behind the look, helping you discover where an outfit is from and find pieces you can shop. ### Can I find pieces from an Instagram or Pinterest screenshot? Yes. Upload any outfit photo or screenshot from Instagram, Pinterest, or anywhere else, and i spy helps you find the pieces behind the look. ### How do I save fashion finds? There are two ways to save: Inside i spy: Save pieces directly from your search results or while browsing Boards. From anywhere online: While browsing Pinterest, Instagram, or any brand website, tap the Share button and choose i spy. Your fashion find will be saved directly to your Closet. ### Where are my saved fashion finds stored? Everything you save is stored in your private Closet. Your Closet keeps all your fashion finds together, instead of scattered across screenshots, saved posts, and browser tabs. ### Is my Closet private? Yes. Everything saved in your Closet is private and only visible to you. ### What are Boards? Boards help you organise your fashion finds. Create Boards for holidays, events, wish lists, seasons, capsule wardrobes, or anything else that inspires you. ### Can I make my Boards public? Yes. You can choose whether each Board is private or public. Public Boards can be discovered by other people in the i spy community. ### Can I discover other people's Boards? Yes. Browse public Boards from creators, brands, and the i spy community to discover new outfits and fashion inspiration. ### Can I see what creators are saving? Yes. Explore creator profiles and public Boards to see what they are saving and sharing. ### Can I filter my search results? Yes. You can filter results by price, including sorting from lowest to highest. ### Can I change my shopping location? Yes. Set your preferred location to receive results from retailers relevant to where you shop. ### Can I save things without buying them? Yes. Saving and shopping are completely separate. Save fashion finds now and shop whenever you're ready. ### Is i spy free? Yes. i spy is free to download and use. ### Which brands and retailers does i spy work with? i spy works with a growing network of fashion brands and retailers. ### Can creators join i spy? Yes. Creators can create Boards, share their style, and inspire the i spy community. ### Can brands partner with i spy? Yes. Brands can work with i spy through discovery, Boards, creator content, and affiliate partnerships. ## Guides ### Find the Pieces Behind Any Outfit Screenshot URL: https://www.ispyplatform.com/guides/find-clothes-from-instagram-or-tiktok-screenshot #### You saw the outfit. Now you just want the clothes. It happens constantly. You're scrolling Instagram or TikTok, a creator walks past in exactly the jacket you've been picturing, and the caption says nothing. No tag, no link, no brand. By the time you think to look, the post is buried three hundred swipes back. The look stuck with you, but the pieces vanished. The instinct is to screenshot it and figure out the rest later, and that's the right move. A screenshot freezes the look so you can come back to it on your own time instead of fighting the feed. The hard part is the next step: getting from that saved image to the actual products you can buy. This guide walks through how to find clothes from an Instagram screenshot (or a TikTok one), and why the obvious methods usually let you down. #### Why reverse image search and tab-hopping fail The first thing most people try is dropping the screenshot into a general reverse image search. The problem is that those tools were built to match whole images, not clothing. They'll surface the same photo reposted on other accounts, a visually similar scene, or a stock image with the same vibe, but rarely the specific trousers or the bag. They see a picture, not a wardrobe. Outfit photos make this worse. A single screenshot might contain a coat, a top, jeans, boots, and a bag all at once, often at an angle, partly cropped, with busy backgrounds and filters layered on top. A whole-image tool tries to summarize all of that into one guess and lands somewhere vague. So you fall back to tab-hopping: eyeballing the photo, typing best-guess descriptions like "oversized beige trench" into a search bar, scrolling pages of near-misses, then repeating it for every garment. It's slow, and you usually settle for something that's just close enough. The core issue is granularity. You don't want the picture. You want each piece in it, identified separately and matched to something real you can actually shop. #### What actually works: garment-level visual search The approach that works is the opposite of whole-image matching. Instead of treating your screenshot as one thing, garment-level visual search breaks the look into its individual items first, then finds matches for each one independently. The coat is searched as a coat. The boots are searched as boots. Each garment gets its own focused hunt rather than competing inside a single blurry query. This matters because it changes what "a match" means. A good visual search isn't looking for the same photo; it's reading the actual attributes of each piece (the cut, color, fabric, neckline, length, hardware) and finding products that share them across many retailers at once. When the exact item exists, it can surface that. When it doesn't, it returns the closest real alternatives instead of leaving you empty-handed, which is often the more useful outcome anyway, since the original might be sold out, one-off, or vintage. #### Step by step: from screenshot to shoppable Start with the screenshot itself. Capture the moment where the outfit is clearest, ideally a frame where the pieces you care about are visible and not heavily obscured. On TikTok, pause on the cleanest still rather than grabbing mid-motion; a sharp, well-lit frame gives the search far more to work with than a blurry one. Screenshots and saved photos work the same way, so you don't need the original post or any tags from the creator. Next, feed that image into a tool built for clothing rather than a generic search box. It should detect the separate garments in the photo and show you matches per item, so you can focus on the jacket without the jeans muddying the results. Work through the matches for each piece, compare the retailers that come back, and check details like fabric and length against the original to find your best fit. Then, and this is the part people skip, save what you find before you buy. The look that caught your eye today is rarely a same-day purchase. Maybe you want the boots now and the coat next month, or you're collecting pieces toward a specific vibe. Saving each find into a board or a personal closet means the work you just did doesn't evaporate. You build a running, organized collection of looks and pieces you can return to and shop when you're actually ready, instead of re-hunting the same screenshot weeks later. #### Make it a habit, not a one-off scramble The real shift is treating discovery and shopping as two separate moments. Inspiration strikes while you're scrolling; buying happens when you have the budget, the occasion, or just the certainty. Screenshot-to-shop tools that only offer instant checkout miss this, because most outfit-spotting isn't an emergency purchase. It's a slow build toward a wardrobe you actually want. When you screenshot generously, identify pieces properly, and save them somewhere organized, your feed stops being a stream of looks that slip away and becomes a real source for your closet. The next time a creator walks past in the perfect jacket, you'll know exactly what to do, and you'll still have it three hundred swipes later. This save-organize-shop-when-ready flow is exactly what we built i spy to do: photograph or screenshot any outfit, get each garment identified and matched to real products across retailers, then save your finds to boards and a personal digital closet to shop when you're ready. i spy is free on iOS and Android — open the app at ispyplatform.com. Key takeaways: - Screenshot the clearest frame first; it freezes the look so you can find the pieces on your own time, and it works the same whether the post is tagged or not. - General reverse image search matches whole pictures, not clothes, so it surfaces reposts and vibe-alikes instead of the actual garments. - Garment-level visual search breaks an outfit into individual pieces and finds the exact item where it exists, or the closest real match where it doesn't. - On TikTok, pause on a sharp, well-lit still rather than grabbing a blurry mid-motion frame; the cleaner the image, the better the matches. - Save finds to boards or a closet so discovery and buying can happen at different times, instead of re-hunting the same screenshot later. ### What Is Fashion Visual Search? URL: https://www.ispyplatform.com/guides/what-is-fashion-visual-search #### What fashion visual search actually is Fashion visual search is a way to find clothes from a photo. Instead of describing an item in words, you hand the system an image, a snapshot you took, a screenshot from your camera roll, a frame paused on a video, and it reads the garments in that picture and returns products you can actually buy. The key shift is the input. Traditional search starts with language: you have to already know that the thing in front of you is a 'cropped boxy linen blazer in oatmeal.' Visual search starts with the picture, so the work of naming the item moves from you to the software. You point at what you like, and it does the describing. #### How it differs from keyword search Keyword search is only as good as your vocabulary. If you can't name the silhouette, the wash, the neckline, or the era, you scroll through pages of near-misses. And the most distinctive details, the exact drape of a sleeve or one specific shade of green, are often the hardest things to put into words in the first place. Searching for clothes by image removes that bottleneck. You don't need the right adjectives; you need a clear photo. That makes it especially useful when inspiration strikes visually and you'd have no idea what to type: a passerby's coat, a still from a show, a friend's outfit across the room. #### How it differs from generic reverse image search It's tempting to assume fashion visual search is just reverse image search pointed at clothes. It isn't. A generic reverse image tool looks for copies of the whole picture, the same photo republished elsewhere, or a broadly similar scene. It treats the image as one flat object. Fashion-specific visual search understands that a single outfit photo usually holds several garments, and it isolates each one: the jacket, the top, the trousers, the shoes. It's tuned for the things that actually matter in clothing, cut, texture, pattern, color, and proportion, rather than overall pixel similarity. The aim is the exact item where it exists and the nearest available alternative where it doesn't, not a duplicate of your screenshot. #### What it's good for (and what it's not) Visual search shines when you have a picture but no product link: street style you admired, something saved from social, a celebrity look, or a piece already in your wardrobe you'd like to replace. It's also a fast way to find more affordable alternatives to a high-end item, because a close substitute is often exactly what you wanted in the first place. It's a weaker fit for needs that are purely spec-driven, say, a waterproof jacket under a set price with a particular membrane. Those remain keyword-and-filter jobs. The sweet spot for image search is when the look is the requirement and the words for it aren't. #### How to use it well Start with the clearest image you can get. Good lighting, the full garment in frame, and minimal blur all help the system read the details accurately. If an outfit has several pieces, expect results broken out per garment rather than one catch-all answer, then zero in on the piece you actually came for. Treat the results as a starting point, not a verdict. Compare a few matches against your source photo, look closely at fabric and cut, and don't stop at the very first hit, the best match is sometimes a row or two down. And save what you like as you go: the real payoff of visual search isn't a single impulse buy, it's building a collection you can come back to. #### From spotting to shopping when you're ready The most useful version of fashion visual search doesn't end at the results page. Identifying a piece in the moment is only half of it; the rest is capturing it, organizing it, and returning when you're genuinely ready to buy. That means saving finds into boards, getting a clearer picture of your own taste over time, and shopping on your own schedule instead of on impulse. This is what i spy is built to do: photograph or screenshot any outfit, find the real shoppable products that match across retailers, and save them to boards or your own digital closet so the look is waiting when you want it. i spy is free on iOS and Android — open the app at ispyplatform.com. Key takeaways: - Fashion visual search lets you find clothes from a photo or screenshot instead of needing the exact keywords to describe them. - Unlike keyword search, it removes the vocabulary bottleneck; unlike generic reverse image search, it isolates individual garments and reads cut, texture, pattern, and color. - It's ideal when you have a picture but no product link, including finding more affordable alternatives where a close match is genuinely what you wanted. - Get better results with clear, well-lit photos and by comparing matches against your source rather than stopping at the first hit. - The biggest payoff is save, organize, and shop when ready, the approach i spy is built around (free on iOS and Android). ### How to Save & Organise Fashion Inspiration URL: https://www.ispyplatform.com/guides/save-and-organize-outfit-inspiration #### Why Your Outfit Screenshots Keep Dying in Your Camera Roll You spot a great outfit on Instagram, a Pinterest pin, or a friend's story, and you screenshot it. The intention is real — you want that look. But the screenshot lands in a camera roll next to thousands of unrelated photos, gets buried within a day, and you never see it again. By the time the occasion comes up, you can't find the image, and even if you could, it's a flat picture with no link to anything you can buy. The problem isn't a lack of taste or follow-through. Screenshots are a dead end by design: they capture the look but lose the context — which jacket it was, where the jeans came from, what the bag actually is. A saved photo with no path to purchase is a wish, not a plan. To actually shop your inspiration, you need to save it somewhere that keeps it findable and keeps it connected to real products. #### Save With Intent, Not Just Reflex The first shift is small but powerful: treat a save as the start of a decision, not a way to avoid one. When something catches your eye, name what you're drawn to. Is it the whole outfit, or just the structured blazer? The color story, or one standout accessory? That takes two seconds and makes the save useful later, instead of leaving you to re-decode a vague feeling weeks down the line. Hold onto the source while you're at it — where a look lived is often what makes an item findable again. The point of saving outfit inspiration isn't to hoard images; it's to bank intent you can act on. One focused save you understand beats fifty random screenshots you'll never reopen. #### Organize Fashion Inspiration Into Boards That Make Sense to You A pile of saves is just a prettier camera roll. The value comes from structure — and the simplest way to organize fashion inspiration is to sort by how you'll actually use it, not by some perfect taxonomy. Boards built around real moments work best: "fall workwear," "wedding guest," "capsule basics I'm missing," "splurge later." Each one maps to a decision you'll genuinely make, so when the moment arrives, the thinking is already done. Keep your categories loose and few. Three to six boards you actually use beat twenty you abandon. Revisit them now and then and prune what no longer feels like you — taste evolves, and a board that reflects who you are now is far more useful than a museum of past phases. Good organization isn't about being tidy; it's about shrinking the gap between wanting something and finding it again. #### Build a Digital Fashion Closet, Not Just a Mood Board This is where most inspiration tools stop short. A mood board shows you what you like; a digital fashion closet remembers what you've saved and keeps it connected to something you can buy — the exact piece where it exists, the closest match where it doesn't. That link is the difference between inspiration that stays decorative and a shortlist you can act on whenever you're ready. A digital closet also shows you yourself as a shopper. Patterns surface: maybe you keep saving the same silhouette in five colors, or you've been circling one pair of boots for a month. That awareness helps you buy more deliberately, skip duplicates of things already hanging in your real closet, and finally commit to the pieces you love instead of impulse-buying the ones you don't. #### Move From Saved to Shopped — On Your Own Timeline The point of all this organizing isn't to shop faster; it's to shop better. When your inspiration lives in boards and a closet that stay linked to real products, you can let an idea sit. Sleep on the coat. Wait for the season. Check whether it pairs with three things you already own. Because the save is still there and still points to something you can buy, time becomes an advantage instead of the reason a good idea slips away. When you're ready, the path from inspiration to checkout is short — you did the hard part, capturing and organizing and connecting it to real items, back when the inspiration was fresh. That's the whole loop: save, organize, then shop when ready, with no pressure to decide in the moment. This is exactly the workflow i spy is built around. Photograph or screenshot any outfit, and i spy identifies each garment and finds the real, shoppable products that match across retailers — then lets you save those finds to boards and a personal digital closet for whenever you're ready. It's free on iOS and Android — get started at ispyplatform.com. Key takeaways: - Screenshots fail because they're disconnected from anything shoppable; saving with intent is the fix. - Organize fashion inspiration into a few real-use boards (occasion, season, gaps you're filling) rather than a perfect taxonomy. - A digital fashion closet beats a mood board because saved items stay linked to real, purchasable products. - Keeping inspiration connected to real products lets you wait and buy deliberately instead of impulse-buying or losing the idea. - Aim for the full loop — save, organize, then shop when ready; i spy is built around it, free on iOS and Android. ### How to Shop the Look From Any Outfit Photo URL: https://www.ispyplatform.com/guides/shop-the-look-from-any-outfit-photo #### Start With a Photo That Has Something to Find You can shop the look from almost any image: a street-style shot you screenshotted, a photo of a stranger's jacket you loved, a frame from a runway show, or a picture of a friend's outfit. The biggest factor in whether you find the right pieces isn't the tool you use; it's the photo you start with. A clear, well-lit image where the garments are actually visible gives any search far more to work with than a dark, blurry, or heavily cropped one. When you have a choice, pick the photo where the clothing reads cleanly, so you can see the cut of the jacket, the print on the dress, the line of the trousers. Front-on shots beat extreme angles. And if the look is made of several pieces, that's an advantage rather than a problem, because you'll want to search for each of them separately anyway. #### Break the Outfit Into Individual Pieces The mistake most people make is treating an outfit as one search. A full look is really a stack of separate products: the coat, the knit underneath, the jeans, the bag, the boots. Each one lives at a different retailer, in a different category, often at a wildly different price. To shop the whole look, you have to find each piece on its own terms. This is also what lets you mix and match. Maybe you want that exact coat but a cheaper version of the boots, or the dress but not the bag. Searching piece by piece keeps every part of the outfit a separate, swappable decision instead of an all-or-nothing one. Good visual search does this work for you, detecting each garment in the photo and matching it as its own item, which matters because identifying a printed silk dress is a very different problem from identifying a plain black ankle boot. #### Exact Match vs. Similar Match: Know Which You're Getting When you search where to buy clothes from a picture, there are two possible outcomes, and it helps to know which one you're looking at. The first is the exact item: the same piece, the same brand, available to buy right now. This is the result everyone hopes for, and it's realistic when the garment is current-season and still in stock somewhere. The second is the closest match. The exact item might be sold out, archival, custom, or simply not photographed clearly enough to identify with confidence. In that case the useful answer is the nearest equivalent: the same silhouette, fabric, color, and detailing from a brand that makes something very close. For a lot of looks, especially older photos or pieces from small labels, the similar match is the more valuable result, because it's the one you can actually buy. Treat exact and similar as two valid answers, not as success and failure. #### Shop the Whole Look Across Retailers, Not Just One Store Real outfits are never sourced from a single store, so your search shouldn't be either. The coat might be at one retailer, the jeans at another, the bag direct from the brand. The advantage of searching from a photo is that it pulls matches from across retailers at once, so you're comparing the genuine options for each piece rather than whatever one shop happens to stock. That breadth is also where price control comes in. Once each piece is broken out and matched, you can decide look by look: splurge on the one item that makes the outfit, find budget alternatives for the rest, and hold off on anything that's currently full price. Shopping the look doesn't have to mean buying it all at once. #### Save Now, Shop When You're Ready The step people skip is organizing. Finding the items is only half of it; the other half is being able to come back to them. If you screenshot an outfit, search it, then lose the results somewhere in your camera roll, you've gained nothing. The pieces you end up buying are usually the ones you saved, sat with, and returned to a few days later, not the impulse from the first search. So build a habit around it. Save the finds, group them into boards by occasion or season or mood, and keep a running collection of pieces you're considering. A digital closet of what you own and what you're eyeing makes the eventual decision sharper, because you can see how a new piece fits with everything else before you commit. This save, organize, then shop flow is exactly what i spy is built for. Photograph or screenshot any outfit, and i spy identifies each garment and finds the real, shoppable matches across retailers, the exact item where it exists and the closest match where it doesn't, then lets you save those finds to boards and your own digital closet so you can shop when you're ready. The app is free on iOS and Android — get started at ispyplatform.com. Key takeaways: - Start with the clearest photo you have; image quality drives how accurately any outfit can be matched. - Treat a look as separate pieces. The coat, jeans, bag, and shoes each get their own search and live at different retailers. - Expect two kinds of results: the exact item when it's in stock, and the closest match when it isn't. Both are useful answers. - Compare matches across retailers so you can splurge on the hero piece and find budget alternatives for the rest. - Save and organize finds into boards and a digital closet so you can shop when you're ready, not just on impulse. ## About - Category: fashion discovery, visual search, Closet + Boards, shoppable looks. - Platform: free app on iOS and Android. - What makes it different: find pieces behind any outfit, save from anywhere, shop when ready. - Social: TikTok and Instagram @ispy_platform. - Contact: hello@ispyplatform.com · support@ispyplatform.com.