{"id":94,"date":"2026-07-09T10:59:45","date_gmt":"2026-07-09T10:59:45","guid":{"rendered":"https:\/\/flowz.orauria.com\/visual-commerce-2026-white-background\/"},"modified":"2026-07-09T11:02:12","modified_gmt":"2026-07-09T11:02:12","slug":"visual-commerce-2026-white-background","status":"publish","type":"post","link":"https:\/\/flowz.orauria.com\/ja\/visual-commerce-2026-white-background\/","title":{"rendered":"Visual Commerce 2026: Is the White-Background Product Shot Dying?"},"content":{"rendered":"<h1>Visual Commerce 2026: Is the White-Background Product Shot Dying?<\/h1>\n<p>Every few months, a headline declares the white-background product shot dead. Lifestyle won. UGC won. AI scenes won. Meanwhile, Amazon still rejects your main image for a gray background, your marketplace hero still needs to read at thumbnail size, and your paid social still needs a world \u2014 not a floating SKU in a void.<\/p>\n<p><strong>Visual commerce trends<\/strong> in 2026 are not about picking a winner. They are about <strong>splitting the job<\/strong>: white-background heroes as <strong>truth and compliance<\/strong>, contextual lifestyle as <strong>conversion and story<\/strong>. The packshot is not dying. It has been <strong>demoted from &quot;the only image&quot; to &quot;layer one&quot;<\/strong> in a dual-layer system.<\/p>\n<blockquote>\n<p><strong>Key Takeaways<\/strong><br \/>\n&gt;<br \/>\n&gt; &#8211; White-background shots still dominate <strong>slot one<\/strong> on marketplaces and category grids \u2014 lifestyle wins <strong>slots 2\u20138<\/strong>, ads, and social (<a href=\"https:\/\/nightjar.so\/blog\/lifestyle-vs-white-background-product-photos\">Nightjar<\/a>, 2026).<br \/>\n&gt; &#8211; Salsify&#x27;s 2026 consumer research found <strong>61% of shoppers<\/strong> rank images and video as the most important product page elements when deciding to buy (<a href=\"https:\/\/www.salsify.com\/blog\/images-and-videos-most-important-product-page-elements\">Salsify<\/a>, 2026).<br \/>\n&gt; &#8211; <strong>42% of shoppers<\/strong> try to determine product size from images \u2014 in-scale and contextual shots are not decorative (<a href=\"https:\/\/baymard.com\/blog\/in-scale-product-images\">Baymard<\/a>).<br \/>\n&gt; &#8211; Adobe&#x27;s 2026 Creators&#x27; Toolkit Report: <strong>57%<\/strong> say AI outputs need moderate or extensive editing before publish \u2014 AI scales lifestyle, not strategy (<a href=\"https:\/\/news.adobe.com\/news\/2026\/06\/creators-toolkit-report-2026\">Adobe<\/a>, 2026).<br \/>\n&gt; &#8211; Visual commerce 2026 = <strong>dual-layer imagery<\/strong> + creative direction (<a href=\"\/posts\/scene-method-ai-product-storytelling\/\">SCENE<\/a>) at scale.<\/p>\n<\/blockquote>\n<p>If you have read <a href=\"\/posts\/ai-ecommerce-design-not-ai-image\/\">AI Ecommerce Design Is Not AI Image<\/a>, you know commercial creative is a system. This article is the <strong>trend layer<\/strong> \u2014 what is changing in how that system gets built and sequenced across channels.<\/p>\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/flowz.orauria.com\/wp-content\/uploads\/2026\/07\/hero-visual-commerce.jpg\" alt=\"Split view of white background product packshot and lifestyle contextual ecommerce scene\"\/><\/figure>\n<h2>What Does Visual Commerce Mean in 2026?<\/h2>\n<p><strong>Visual commerce<\/strong> is the practice of using imagery not as decoration but as <strong>the primary sales interface<\/strong> \u2014 PDP galleries, marketplace thumbnails, paid social, email heroes, and short video frames that together answer: <em>What is it? How big is it? Will it fit my life? Can I trust it?<\/em><\/p>\n<p>In 2026, three forces reshape that interface:<\/p>\n<p><strong>1. Mobile-first scanning.<\/strong> Thumbnails are smaller, scroll is faster, and the first image must communicate product identity in under two seconds. Clean heroes still win that moment.<\/p>\n<p><strong>2. Platform rules vs brand worlds.<\/strong> Amazon and Walmart require pure white (RGB 255,255,255) main images. Shopify and DTC sites have more freedom \u2014 but shoppers still expect a <strong>clear hero before context<\/strong> (<a href=\"https:\/\/nightjar.so\/blog\/lifestyle-vs-white-background-product-photos\">Nightjar<\/a>, 2026).<\/p>\n<p><strong>3. AI as scale layer, not strategy layer.<\/strong> Hybrid workflows \u2014 real product truth plus AI-generated context \u2014 are becoming the default economics for lifestyle expansion (<a href=\"https:\/\/deep-image.ai\/blog\/hybrid-ai-photography-ecommerce\/\">Deep-Image hybrid photography analysis<\/a>, 2026). The strategy question is not &quot;AI or studio.&quot; It is <strong>what job each image slot performs<\/strong>.<\/p>\n<h2>Why Do Marketplaces Still Demand White-Background Heroes?<\/h2>\n<p>Because slot one is a <strong>compliance and comparison<\/strong> job, not a storytelling job.<\/p>\n<table>\n<tbody>\n<tr>\n<th>Platform<\/th>\n<th>Main image rule<\/th>\n<th>Lifestyle role<\/th>\n<\/tr>\n<tr>\n<td>Amazon<\/td>\n<td>Pure white background, product fills frame<\/td>\n<td>Alternate images: in-use, lifestyle, infographics<\/td>\n<\/tr>\n<tr>\n<td>Walmart<\/td>\n<td>White or neutral per category guidelines<\/td>\n<td>Gallery slots 2+<\/td>\n<\/tr>\n<tr>\n<td>Google Shopping<\/td>\n<td>Solid white\/gray\/light for non-apparel<\/td>\n<td>Apparel may use on-model lifestyle<\/td>\n<\/tr>\n<tr>\n<td>Shopify \/ DTC<\/td>\n<td>No enforced background<\/td>\n<td>Sequence strategy is yours \u2014 but clarity first<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Marketplace algorithms and human moderators treat slot one as <strong>product identification<\/strong>. A busy lifestyle scene in slot one fails readability at thumbnail size and often fails policy. White-background heroes are the <strong>barcode of visual commerce<\/strong> \u2014 unglamorous, essential, not optional.<\/p>\n<p>That does not mean boring. High-performing 2026 catalogs treat white as a <strong>controlled color<\/strong>: realistic shadows, clean edges, visible texture \u2014 not flat cutout paste (<a href=\"https:\/\/www.linkedin.com\/pulse\/product-photography-trends-2026-full-playbook-picvisualllc-kh8kc\">PicVisual 2026 playbook<\/a>).<\/p>\n<h2>Where Does Lifestyle Imagery Win Conversion?<\/h2>\n<p>Lifestyle wins where the question shifts from <strong>&quot;what is this?&quot;<\/strong> to <strong>&quot;how does this fit my life?&quot;<\/strong> Academic A\/B research on home d\u00e9cor found contextual lead images roughly <strong>2\u00d7 conversion<\/strong> on Wayfair (3.93% vs 1.99%) \u2014 but <strong>no significant lift<\/strong> when contextual images replaced the Amazon hero (<a href=\"https:\/\/repository.tilburguniversity.edu\/server\/api\/core\/bitstreams\/6ec6a9a5-89ae-4aab-aaf1-5e3b4d32a595\/content\">Tilburg University<\/a>, academic study).<\/p>\n<p>Research synthesis across UX and ecommerce sources points to a consistent pattern:<\/p>\n<table>\n<tbody>\n<tr>\n<th>Channel \/ slot<\/th>\n<th>Best image type<\/th>\n<th>Why<\/th>\n<\/tr>\n<tr>\n<td>Marketplace main image<\/td>\n<td>White-background hero<\/td>\n<td>Policy + thumbnail clarity<\/td>\n<\/tr>\n<tr>\n<td>PDP gallery slots 2\u20138<\/td>\n<td>Lifestyle, detail, in-scale<\/td>\n<td>Answers context and trust<\/td>\n<\/tr>\n<tr>\n<td>Paid social \/ feed ads<\/td>\n<td>Lifestyle<\/td>\n<td>Blends with feed; drives click<\/td>\n<\/tr>\n<tr>\n<td>Email hero<\/td>\n<td>Lifestyle or styled scene<\/td>\n<td>Emotional hook<\/td>\n<\/tr>\n<tr>\n<td>Category grid<\/td>\n<td>Clean hero or consistent on-model<\/td>\n<td>Comparison at speed<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>Baymard&#x27;s product page research emphasizes that users need <strong>in-scale<\/strong> images \u2014 <strong>42%<\/strong> try to judge size from photos alone (<a href=\"https:\/\/baymard.com\/blog\/in-scale-product-images\">Baymard<\/a>). Lifestyle without scale reference increases returns. Lifestyle <strong>with<\/strong> scale logic reduces doubt.<\/p>\n<p>For fashion, the sequence matters as much as the type: clarity first, fit second, lifestyle after the product is understood (<a href=\"https:\/\/www.pixupai.com\/blog\/the-order-of-images-that-maximizes-conversion-on-fashion-product-pages\">fashion PDP image order research<\/a>). That aligns with <a href=\"\/posts\/your-lookbook-doesnt-need-a-studio-it-needs-a-world\/\">lookbook thinking<\/a> \u2014 worlds matter, but not before the product reads.<\/p>\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/flowz.orauria.com\/wp-content\/uploads\/2026\/07\/gallery-sequence.jpg\" alt=\"Ecommerce product gallery showing white hero image followed by lifestyle contextual shots\"\/><\/figure>\n<h2>What Is the Dual-Layer Model for Visual Commerce?<\/h2>\n<p>Stop choosing white <strong>or<\/strong> lifestyle. Run <strong>both<\/strong> as layers in one system:<\/p>\n<h3>Layer 1 \u2014 Truth (hero \/ reference)<\/h3>\n<ul>\n<li>White or neutral marketplace-compliant hero<\/li>\n<li>Accurate color, label, geometry, material texture<\/li>\n<li>Source for all downstream scenes<\/li>\n<li>Phone capture is valid input (<a href=\"\/posts\/phone-photo-to-campaign-workflow-mindset\/\">phone-to-campaign workflow<\/a>)<\/li>\n<\/ul>\n<h3>Layer 2 \u2014 Story (scene family)<\/h3>\n<ul>\n<li>4\u20138 contextual images per SKU or outfit<\/li>\n<li><a href=\"\/posts\/scene-method-ai-product-storytelling\/\">SCENE-directed<\/a> worlds \u2014 same light logic, same buyer moment<\/li>\n<li>In-scale and detail inserts where Baymard-style UX requires<\/li>\n<li>Channel crops from one curated set<\/li>\n<\/ul>\n<p>This is <a href=\"\/posts\/ai-ecommerce-design-not-ai-image\/\">AI ecommerce design<\/a> in practice: not one render, but a <strong>coordinated image system<\/strong> per product.<\/p>\n<p>Beauty brands map buyer rituals before scenes (<a href=\"\/posts\/lifestyle-context-mapping-beauty-ads\/\">beauty context mapping<\/a>). Fashion brands run <a href=\"\/posts\/experiment-1-outfit-8-lifestyle-scenes\/\">eight-scene experiments<\/a> from one outfit. The dual-layer model is the <strong>container<\/strong> both fit inside.<\/p>\n<h2>How Is AI Changing the Economics \u2014 Not the Strategy?<\/h2>\n<p>AI does not retire the white-background shot. It changes <strong>what happens after<\/strong> you have one.<\/p>\n<p>Hybrid AI photography \u2014 real product pixels preserved, AI-generated environment around them \u2014 is the 2026 default for scaling lifestyle without reshooting (<a href=\"https:\/\/deep-image.ai\/blog\/hybrid-ai-photography-ecommerce\/\">Deep-Image<\/a>, 2026). Amazon and Shopify allow AI-assisted <strong>alternate<\/strong> images when they accurately represent the real product; heroes still need authentic product truth (<a href=\"https:\/\/www.prophotostudio.net\/blog\/learning-center\/ai-product-photos-amazon-shopify-2026\/\">ProPhotoStudio 2026 platform rules<\/a>).<\/p>\n<p>Adobe&#x27;s 2026 data frames the human role: <strong>85%<\/strong> of creators insist the final creative decision must remain theirs, and <strong>57%<\/strong> say AI outputs need meaningful editing before publish (<a href=\"https:\/\/news.adobe.com\/news\/2026\/06\/creators-toolkit-report-2026\">Adobe Creators&#x27; Toolkit Report<\/a>, 2026). AI lowers the <strong>cost per lifestyle scene<\/strong>. It does not remove the <strong>curator<\/strong>.<\/p>\n<table>\n<tbody>\n<tr>\n<th>Without creative direction<\/th>\n<th>With dual-layer + SCENE<\/th>\n<\/tr>\n<tr>\n<td>AI lifestyle that drifts from product truth<\/td>\n<td>Scenes locked to reference geometry<\/td>\n<\/tr>\n<tr>\n<td>Random gallery order<\/td>\n<td>Slot-mapped sequence<\/td>\n<\/tr>\n<tr>\n<td>Pretty orphans<\/td>\n<td>Same-world scene family<\/td>\n<\/tr>\n<tr>\n<td>Brand drift at scale<\/td>\n<td><a href=\"\/posts\/brand-consistency-trap-ai-broke-identity\/\">Consistency discipline<\/a><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p>The economic shift: one hero capture \u2192 many directed scenes. The strategic shift: <strong>brief before batch<\/strong>.<\/p>\n<h2>What Breaks When Teams Skip Creative Direction?<\/h2>\n<p>When teams treat visual commerce as &quot;more images, cheaper,&quot; three failures show up:<\/p>\n<p><strong>1. Lifestyle in slot one.<\/strong> Pretty, ambiguous, bad for search and comparison. Conversion friction rises before the shopper understands the SKU.<\/p>\n<p><strong>2. Scenes that contradict the hero.<\/strong> Color shift, label drift, wrong scale \u2014 return rates climb. Hybrid workflows exist precisely to prevent this (<a href=\"https:\/\/deep-image.ai\/blog\/hybrid-ai-photography-ecommerce\/\">Deep-Image<\/a>, 2026).<\/p>\n<p><strong>3. No gallery sequence logic.<\/strong> Six random images underperform a deliberate six-image sequence. Image strategy is among the highest-leverage PDP variables (<a href=\"https:\/\/nightjar.so\/blog\/lifestyle-vs-white-background-product-photos\">Nightjar<\/a>, citing Baymard).<\/p>\n<p>The <a href=\"\/posts\/brand-consistency-trap-ai-broke-identity\/\">brand consistency trap<\/a> is visual commerce at scale without a spine \u2014 different scenes, different light, same logo.<\/p>\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/flowz.orauria.com\/wp-content\/uploads\/2026\/07\/curator-review.jpg\" alt=\"Creative director reviewing ecommerce product image gallery on monitor\"\/><\/figure>\n<h2>What Is the SME Playbook for Visual Commerce 2026?<\/h2>\n<p>You do not need a studio rebuild. You need a <strong>repeatable dual-layer pipeline<\/strong>:<\/p>\n<h3>Step 1 \u2014 Capture truth (one afternoon)<\/h3>\n<p>Phone or simple studio hero per SKU. Consistent light. Multiple angles if possible.<\/p>\n<h3>Step 2 \u2014 Map slots before generating<\/h3>\n<table>\n<tbody>\n<tr>\n<th>Slot<\/th>\n<th>Image job<\/th>\n<\/tr>\n<tr>\n<td>1<\/td>\n<td>White\/neutral hero \u2014 compliance + clarity<\/td>\n<\/tr>\n<tr>\n<td>2<\/td>\n<td>Best lifestyle scene \u2014 primary context<\/td>\n<\/tr>\n<tr>\n<td>3<\/td>\n<td>Detail or texture close-up<\/td>\n<\/tr>\n<tr>\n<td>4<\/td>\n<td>In-scale reference<\/td>\n<\/tr>\n<tr>\n<td>5\u20136<\/td>\n<td>Alternate angles or use cases<\/td>\n<\/tr>\n<tr>\n<td>7\u20138<\/td>\n<td>Brand expression \/ seasonal variant<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h3>Step 3 \u2014 Direct with SCENE<\/h3>\n<p>Write 4\u20136 scene rows obeying one buyer moment and one light logic. Generate scene family \u2014 not one-off prompts.<\/p>\n<h3>Step 4 \u2014 Curate before publish<\/h3>\n<p>Reject orphans. Check hero-to-scene color match. Approve sequence, not individual files.<\/p>\n<h3>Step 5 \u2014 Adapt per channel<\/h3>\n<p>Marketplace main = Layer 1 hero. Meta ads = Layer 2 lifestyle crop. Email = text-safe lifestyle frame.<\/p>\n<p>Small brands can run this from a phone reference \u2014 the <a href=\"\/posts\/phone-photo-to-campaign-workflow-mindset\/\">phone-to-campaign<\/a> mindset is the SME entry point to dual-layer visual commerce.<\/p>\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/flowz.orauria.com\/wp-content\/uploads\/2026\/07\/phone-truth-layer.jpg\" alt=\"Small brand entrepreneur photographing product with smartphone for ecommerce reference\"\/><\/figure>\n<h2>What Should Brands Stop Doing in 2026?<\/h2>\n<table>\n<tbody>\n<tr>\n<th>Stop<\/th>\n<th>Start<\/th>\n<\/tr>\n<tr>\n<td>&quot;Lifestyle only&quot; PDP heroes on marketplaces<\/td>\n<td>Compliant hero + lifestyle gallery<\/td>\n<\/tr>\n<tr>\n<td>&quot;White only&quot; DTC galleries with no context<\/td>\n<td>Dual-layer sequence<\/td>\n<\/tr>\n<tr>\n<td>Generating scenes without reference truth<\/td>\n<td>Hybrid: real product pixels + directed world<\/td>\n<\/tr>\n<tr>\n<td>Treating AI as replacement for art direction<\/td>\n<td>SCENE + curator gate<\/td>\n<\/tr>\n<tr>\n<td>One image per SKU<\/td>\n<td>6\u20138 slot-mapped images per hero SKU<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" src=\"https:\/\/flowz.orauria.com\/wp-content\/uploads\/2026\/07\/shopping-visual-commerce.jpg\" alt=\"Online shopping interface with product images on mobile and desktop screens\"\/><\/figure>\n<hr\/>\n<p><strong>Build dual-layer visual commerce on Orauria:<\/strong> <a href=\"https:\/\/orauria.com?utm_source=blog&amp;utm_medium=organic&amp;utm_campaign=visual-commerce-2026-white-background\">Try Orauria<\/a><\/p>\n<h2>Frequently Asked Questions<\/h2>\n<h3>Is the white-background product shot really dying?<\/h3>\n<p>No. It is <strong>specializing<\/strong>. It remains the default for marketplace slot one and comparison contexts. Lifestyle grows in gallery slots 2\u20138, ads, and social \u2014 not as a replacement for the hero.<\/p>\n<h3>Should DTC brands use white-background images if Shopify does not require them?<\/h3>\n<p>Yes for slot one clarity \u2014 especially category grids and Google Shopping surfaces. Then add lifestyle in slots 2+. Sequence beats ideology.<\/p>\n<h3>Can AI replace the white-background studio shot?<\/h3>\n<p>Not for marketplace heroes and product truth. AI excels at <strong>scaling lifestyle and context<\/strong> from a real reference \u2014 the hybrid model platforms increasingly expect in 2026.<\/p>\n<h3>How many images does a product need in 2026?<\/h3>\n<p>For hero SKUs, plan <strong>6\u20138 slot-mapped images<\/strong>: hero, lifestyle, detail, in-scale, alternates. One image is a catalog entry, not a visual commerce system.<\/p>\n<h3>Does lifestyle or white background convert better?<\/h3>\n<p>Neither universally. <strong>Slot and funnel stage<\/strong> decide. White wins slot one and comparison. Lifestyle wins context slots, ads, and social. Best performers use both deliberately.<\/p>\n<h3>How does this connect to AI creative direction?<\/h3>\n<p>Direction defines <strong>which scenes belong in slots 2\u20138<\/strong> and ensures they match Layer 1 truth. Without <a href=\"\/posts\/scene-method-ai-product-storytelling\/\">SCENE<\/a> discipline, AI only produces cheaper inconsistency.<\/p>\n<h2>Conclusion<\/h2>\n<p>The white-background product shot is not dying in 2026. Its <strong>monopoly<\/strong> is.<\/p>\n<p>Visual commerce is splitting into two layers: <strong>truth<\/strong> (compliance hero, reference geometry, marketplace slot one) and <strong>story<\/strong> (lifestyle scenes, in-scale context, channel adaptation). AI makes Layer 2 affordable at scale \u2014 but only when Layer 1 is locked and a curator protects sequence.<\/p>\n<p>The brands that win are not arguing white vs lifestyle. They are building <strong>dual-layer systems<\/strong> with creative direction baked in \u2014 one hero, one world, one gallery logic per SKU.<\/p>\n<p>That is the visual commerce trend worth following. Not more images. <strong>Better slots.<\/strong><\/p>\n<hr\/>\n<h2>References<\/h2>\n<ol>\n<li>Nightjar, &quot;Lifestyle vs White Background Product Photos: Which Converts Better, and When,&quot; 2026. <a href=\"https:\/\/nightjar.so\/blog\/lifestyle-vs-white-background-product-photos\">https:\/\/nightjar.so\/blog\/lifestyle-vs-white-background-product-photos<\/a><\/li>\n<li>Baymard Institute, &quot;Product Page UX: Provide at Least One &#x27;In Scale&#x27; Image,&quot; <a href=\"https:\/\/baymard.com\/blog\/in-scale-product-images\">https:\/\/baymard.com\/blog\/in-scale-product-images<\/a><\/li>\n<li>Adobe, <em>2026 Creators&#x27; Toolkit Report<\/em>, June 16, 2026. <a href=\"https:\/\/news.adobe.com\/news\/2026\/06\/creators-toolkit-report-2026\">https:\/\/news.adobe.com\/news\/2026\/06\/creators-toolkit-report-2026<\/a><\/li>\n<li>Deep-Image, &quot;Hybrid AI Photography: Authenticity in E-commerce (2026).&quot; <a href=\"https:\/\/deep-image.ai\/blog\/hybrid-ai-photography-ecommerce\/\">https:\/\/deep-image.ai\/blog\/hybrid-ai-photography-ecommerce\/<\/a><\/li>\n<li>ProPhotoStudio, &quot;AI Product Photos on Amazon &amp; Shopify: 2026 Rules.&quot; <a href=\"https:\/\/www.prophotostudio.net\/blog\/learning-center\/ai-product-photos-amazon-shopify-2026\/\">https:\/\/www.prophotostudio.net\/blog\/learning-center\/ai-product-photos-amazon-shopify-2026\/<\/a><\/li>\n<li>PicVisual LLC, &quot;Product Photography Trends in 2026: Full Playbook,&quot; LinkedIn Pulse. <a href=\"https:\/\/www.linkedin.com\/pulse\/product-photography-trends-2026-full-playbook-picvisualllc-kh8kc\">https:\/\/www.linkedin.com\/pulse\/product-photography-trends-2026-full-playbook-picvisualllc-kh8kc<\/a><\/li>\n<\/ol>\n","protected":false},"excerpt":{"rendered":"<p>White-background heroes are not dying \u2014 their job is splitting. Visual commerce trends in 2026 favor a dual-layer model: compliance truth plus contextual lifestyle at scale.<\/p>\n","protected":false},"author":1,"featured_media":89,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[9,22],"tags":[],"class_list":["post-94","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-trends-insights","category-visual-commerce"],"_links":{"self":[{"href":"https:\/\/flowz.orauria.com\/ja\/wp-json\/wp\/v2\/posts\/94","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/flowz.orauria.com\/ja\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/flowz.orauria.com\/ja\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/flowz.orauria.com\/ja\/wp-json\/wp\/v2\/users\/1"}],"replies":[{"embeddable":true,"href":"https:\/\/flowz.orauria.com\/ja\/wp-json\/wp\/v2\/comments?post=94"}],"version-history":[{"count":1,"href":"https:\/\/flowz.orauria.com\/ja\/wp-json\/wp\/v2\/posts\/94\/revisions"}],"predecessor-version":[{"id":95,"href":"https:\/\/flowz.orauria.com\/ja\/wp-json\/wp\/v2\/posts\/94\/revisions\/95"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/flowz.orauria.com\/ja\/wp-json\/wp\/v2\/media\/89"}],"wp:attachment":[{"href":"https:\/\/flowz.orauria.com\/ja\/wp-json\/wp\/v2\/media?parent=94"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/flowz.orauria.com\/ja\/wp-json\/wp\/v2\/categories?post=94"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/flowz.orauria.com\/ja\/wp-json\/wp\/v2\/tags?post=94"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}