{"id":35792,"date":"2026-08-21T05:04:11","date_gmt":"2026-08-21T05:04:11","guid":{"rendered":"https:\/\/www.sozee.ai\/resources\/best-ai-photo-editor-rights\/"},"modified":"2026-09-02T05:37:46","modified_gmt":"2026-09-02T05:37:46","slug":"best-ai-photo-editor-rights","status":"publish","type":"post","link":"https:\/\/www.sozee.ai\/resources\/best-ai-photo-editor-rights\/","title":{"rendered":"Best AI Photo Editors for Commercial Use Rights in 2026"},"content":{"rendered":"<h2 id=\"key-takeaways\">Key Takeaways<\/h2>\n<ul>\n<li>Choosing an AI photo editor for commercial use in 2026 affects both legal exposure and revenue under New York, EU, and FTC rules.<\/li>\n<li>Adobe Firefly offers IP indemnification on paid plans but lacks native likeness-locking and end-to-end monetization workflows.<\/li>\n<li>Canva and Photoroom allow commercial use but publish no IP indemnification or identity-consistency tools.<\/li>\n<li>Sozee removes third-party likeness risk at the source with locked likeness, reusable assets, and native scheduling and analytics.<\/li>\n<li><a href=\"https:\/\/app.sozee.ai\/sign-up\" target=\"_blank\"><strong>Lock your likeness and start building \u2014 sign up for Sozee to create sellable content with full commercial control from day one.<\/strong><\/a><\/li>\n<\/ul>\n<h2>Head-to-Head: Commercial Rights Across Firefly, Canva, Photoroom, and Sozee<\/h2>\n<p>The table below reveals a clear gap in the market. Adobe Firefly delivers the strongest legal indemnification, yet it lacks the identity-consistency and monetization tools that subscription creators need. Sozee is the only platform in this group that combines likeness locking, commercial workflows, and distribution in one place. Every figure is drawn from current licensing documentation or official policy language.<\/p>\n<table>\n<thead>\n<tr>\n<th>Criterion<\/th>\n<th>Adobe Firefly<\/th>\n<th>Canva<\/th>\n<th>Photoroom<\/th>\n<th>Sozee<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td>Commercial license scope<\/td>\n<td><a href=\"https:\/\/licenseorg.com\/blog\/ai-commercial-use-guide-2026\" target=\"_blank\" rel=\"noindex nofollow\">Full commercial use on qualifying paid Creative Cloud plans, trained on licensed Adobe Stock, openly licensed, and public-domain content<\/a><\/td>\n<td><a href=\"https:\/\/airightsbrief.com\/daily-digest\/2026-07-27\" target=\"_blank\" rel=\"noindex nofollow\">Commercial use permitted, with a Getty Images partnership that funds royalties for training data contributors<\/a><\/td>\n<td>Commercial use permitted on paid plans, with no published training-data provenance statement<\/td>\n<td>Full commercial use, purpose-built for sellable creator output with monetization workflows native to the platform<\/td>\n<\/tr>\n<tr>\n<td>Legal indemnification<\/td>\n<td><a href=\"https:\/\/matchadesign.com\/blog\/ai-design-ip-copyright-risk-business-owners\" target=\"_blank\" rel=\"noindex nofollow\">IP indemnification on qualifying paid plans, excluding beta features, free tier, prompts naming real people or brands, and trademark or right-of-publicity claims<\/a><\/td>\n<td>No published IP indemnification for AI-generated outputs<\/td>\n<td>No published IP indemnification for AI-generated outputs<\/td>\n<td>Creator-controlled likeness pipeline that removes third-party likeness risk at the source and supports repeatable, defensible output<\/td>\n<\/tr>\n<tr>\n<td>Likeness consistency for repeatable assets<\/td>\n<td>No native identity-locking system, so consistency depends on prompt discipline and seed reuse<\/td>\n<td>No native identity-locking system<\/td>\n<td>No native identity-locking system<\/td>\n<td>Locked likeness across every frame, set, and week, with the same face and body from three uploaded photos or a generated original character, no retraining required<\/td>\n<\/tr>\n<tr>\n<td>SFW-to-NSFW pipeline<\/td>\n<td>Not available, with a content policy that prohibits explicit output<\/td>\n<td>Not available, with a content policy that prohibits explicit output<\/td>\n<td>Not available, with a content policy that prohibits explicit output<\/td>\n<td>Native SFW-to-NSFW arc inside Photo Shoot, with pacing and ceiling set by the creator<\/td>\n<\/tr>\n<tr>\n<td>Native scheduling and analytics<\/td>\n<td>Not available natively, so exports must go to third-party tools<\/td>\n<td>Scheduling available, with analytics limited to basic post metrics<\/td>\n<td>Not available natively<\/td>\n<td>Native Scheduler connects Instagram, TikTok, X, Facebook, Reddit, and Fanvue per character, and Analytics separates Sozee-posted from creator-posted performance<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<h2>Commercial Use of AI Photos Under Current Laws<\/h2>\n<p>Creators and agencies can use AI photos commercially when they follow documented compliance steps that match each jurisdiction and platform. Four legal layers shape those steps for paid campaigns that rely on AI-generated images.<\/p>\n<p><strong>New York disclosure requirements.<\/strong> <a href=\"https:\/\/webtopia.co\/blog\/new-york-ai-advertising-law-synthetic-performer-disclosure-2026\" target=\"_blank\" rel=\"noindex nofollow\">New York&#8217;s synthetic performer law applies to any advertisement shown to New York consumers regardless of where the brand or agency is headquartered, and penalties run $1,000 for a first violation and $5,000 for each subsequent violation.<\/a> This reach means any national or digital campaign must treat New York as a covered audience. The disclosure must be conspicuous, so small watermarks are likely insufficient. Agencies often use this wording: &#8220;Some visuals or voices are AI-generated. No real people or endorsements.&#8221;<\/p>\n<p><strong>EU labeling obligations.<\/strong> <a href=\"https:\/\/www.morganlewis.com\/blogs\/sourcingatmorganlewis\/2026\/08\/eu-ai-acts-transparency-rules-what-went-into-effect-on-2-august\" target=\"_blank\" rel=\"noindex nofollow\">EU AI Act Article 50 requires machine-readable labels on AI-generated images from August 2, 2026, with a transition to December 2, 2026 only for providers of systems placed on the EEA market before that date under the already-adopted Omnibus amendment.<\/a> Cross-Atlantic campaigns must therefore satisfy both New York disclosure rules and EU labeling rules at the same time.<\/p>\n<p><strong>Copyright ownership gaps.<\/strong> <a href=\"https:\/\/resources.rework.com\/libraries\/ai-transformation-strategy\/ip-and-copyright-in-ai-outputs\" target=\"_blank\" rel=\"noindex nofollow\">The Thaler v. Perlmutter case confirmed that fully AI-generated images without meaningful human creative contribution cannot receive copyright protection under US law, a position the Supreme Court upheld in March 2026 by denying certiorari.<\/a> <a href=\"https:\/\/ratedwithai.com\/blog\/ai-product-photography-ecommerce-copyright-risk-2026\" target=\"_blank\" rel=\"noindex nofollow\">Purely AI-generated images with no human creative input are not copyright-registrable, so sellers cannot stop competitors from copying their AI-generated catalog images.<\/a> Commercial teams must treat platform terms of service as the main source of usage rights for pure AI outputs.<\/p>\n<p><strong>Right-of-publicity risks.<\/strong> <a href=\"https:\/\/debevoise.com\/insights\/publications\/2026\/03\/practical-considerations-for-managing-ip-risk-in\" target=\"_blank\" rel=\"noindex nofollow\">AI-generated images that depict or evoke identifiable individuals raise right-of-publicity risks, which have increased following New York&#8217;s enactment of an AI-focused right-of-publicity law expanding protections against unauthorized digital replicas and post-mortem uses.<\/a> Using a platform that generates likenesses from the creator&#8217;s own verified photos, rather than prompts that reference real people, provides the most direct path to removing this exposure. Given these four legal layers, the practical question becomes which tools reduce the compliance burden instead of adding new risk.<\/p>\n<h2>Best AI Platforms for Legally Defensible Workflows<\/h2>\n<p>Legal suitability for commercial AI image work rests on three questions. Does the platform provide IP indemnification. What does that indemnification actually cover. Does the workflow itself reduce or amplify third-party IP exposure.<\/p>\n<p><a href=\"https:\/\/licenseorg.com\/blog\/ai-commercial-use-guide-2026\" target=\"_blank\" rel=\"noindex nofollow\">Adobe Firefly is the only major AI image tool with contractual protection against infringement claims, offering IP indemnification on qualifying paid plans.<\/a> That coverage has meaningful carve-outs. <a href=\"https:\/\/matchadesign.com\/blog\/ai-design-ip-copyright-risk-business-owners\" target=\"_blank\" rel=\"noindex nofollow\">It excludes beta features, free-tier use, prompts naming real people or brands, and trademark or right-of-publicity claims.<\/a> For a creator running subscription content around a consistent AI persona, those exclusions touch a large share of the real workflow.<\/p>\n<p><a href=\"https:\/\/licenseorg.com\/blog\/ai-commercial-use-guide-2026\" target=\"_blank\" rel=\"noindex nofollow\">Midjourney offers no IP indemnification on any plan, leaving users responsible for defending against third-party copyright infringement claims.<\/a> <a href=\"https:\/\/licenseorg.com\/blog\/ai-commercial-use-guide-2026\" target=\"_blank\" rel=\"noindex nofollow\">OpenAI&#8217;s DALL-E and ChatGPT image generation provide indemnification only to Enterprise and API business customers, not to Plus or Pro consumer subscribers.<\/a> Canva and Photoroom publish no IP indemnification for AI-generated outputs, so creators carry that risk themselves.<\/p>\n<p><a href=\"https:\/\/debevoise.com\/insights\/publications\/2026\/03\/practical-considerations-for-managing-ip-risk-in\" target=\"_blank\" rel=\"noindex nofollow\">Companies deploying third-party AI tools for content creation should conduct due diligence on model provenance and negotiate vendor indemnification clauses carefully, as courts have recognized vicarious liability where a company benefits from and can supervise infringing conduct by a contractor or vendor.<\/a> Creators who cannot negotiate enterprise contracts need a different approach. The most practical risk reduction comes from a platform that removes unknown training data, unverified likenesses, and inconsistent outputs at the workflow level.<\/p>\n<h2>Adobe Firefly and Sozee: Commercial Rights in Practice<\/h2>\n<p>Adobe Firefly&#8217;s commercial rights position rests on training-data provenance and a capped indemnification clause. <a href=\"https:\/\/matchadesign.com\/blog\/ai-design-ip-copyright-risk-business-owners\" target=\"_blank\" rel=\"noindex nofollow\">Firefly&#8217;s indemnification, detailed earlier, relies on training with licensed Adobe Stock, openly licensed, and public-domain content rather than scraped web data.<\/a> This structure works well for one-off campaign assets or enterprise brand work where a legal team reviews outputs before publication.<\/p>\n<p>A gap appears when the use case shifts to repeatable, sellable creator content. Firefly has no native identity-locking system. A creator who needs the same face across 30 posts per month, across SFW and NSFW tiers, across multiple platforms, and across an agency roster of several talent profiles cannot build that workflow inside Firefly. The indemnification cap also fails to scale with the volume of commercial output that a creator or agency produces.<\/p>\n<p>Sozee approaches commercial rights from the opposite direction. Instead of relying on after-the-fact indemnification, the platform removes the main sources of third-party claims inside the workflow itself. Likeness is locked to the creator&#8217;s own verified photos or a generated original character, so no third-party face ever enters the pipeline. <a href=\"https:\/\/hunton.com\/hunton-retail-law-resource\/ai-generated-advertising-key-legal-considerations-for-retailers\" target=\"_blank\" rel=\"noindex nofollow\">Retailers and creators using generative AI remain responsible for trademark and right-of-publicity clearance regardless of which tool they use<\/a>, yet a platform that never generates unverified third-party likenesses avoids the most common trigger for those claims. This workflow-level protection sets up the real-world scenarios that follow.<\/p>\n<figure style=\"text-align: center;\"><a href=\"https:\/\/app.sozee.ai\/sign-up\" target=\"_blank\"><img src=\"https:\/\/cdn.aigrowthmarketer.co\/1762997925636-7453a7a8b2ad.png\" alt=\"Sozee AI Platform\" style=\"max-height: 500px;\" loading=\"lazy\" decoding=\"async\"><\/a><figcaption><em>Sozee AI Platform<\/em><\/figcaption><\/figure>\n<h2>Real-World Workflows That General Tools Cannot Support<\/h2>\n<p>Many in-house legal teams report that their organization lacks clear IP guidelines for AI-generated work products, so creators and agencies absorb that uncertainty directly. Three common scenarios show where general tools fail in practice and where workflow-level consistency becomes the deciding factor.<\/p>\n<p><strong>Solo creators delivering brand deals.<\/strong> A micro-influencer contracted to deliver a product in four outfits, three settings, and two content tiers faces a production problem that no general AI editor solves. Each new prompt in Firefly, Canva, or Photoroom risks a different face, a different body, and a different room, which means the deliverable falls apart before the creator even reaches the scheduling stage. An identity-lock system solves this by preserving the same face and body across every generation, making high-volume brand deals deliverable without a single reshoot.<\/p>\n<p><strong>Agencies managing talent pipelines.<\/strong> <a href=\"https:\/\/www.insurancejournal.com\/magazines\/mag-features\/2026\/03\/09\/860642.htm\" target=\"_blank\" rel=\"noindex nofollow\">Agency leaders cite data privacy and compliance as the top AI concern at 24%<\/a>, followed by brand safety. An agency running ten creator accounts on one platform needs isolated workspaces, per-character scheduling, and consistent likeness across every account. General tools do not provide that structure natively, so risk and inconsistency increase with every new client.<\/p>\n<p><strong>Micro-influencers fulfilling sponsorship quotas.<\/strong> <a href=\"https:\/\/texxr.com\/891908\/survey-finds-86percent-creators-use-genai-tools\" target=\"_blank\" rel=\"noindex nofollow\">According to Adobe\u2019s 2025 Creators\u2019 Toolkit Report, 60% of creators use multiple creative GenAI tools<\/a>, which means most creators stitch together a stack that adds friction, cost, and inconsistency at every handoff. A platform that closes the loop from generation to scheduling to analytics in one place removes the production ceiling that causes micro-influencers to turn down deals they have already won. Each of these scenarios breaks at the same point, which is inconsistent output that cannot satisfy a brand brief at scale. The next section shows how Sozee solves that problem at the workflow level.<\/p>\n<p><a href=\"https:\/\/app.sozee.ai\/sign-up\" target=\"_blank\"><strong>Stop turning down deals \u2014 sign up for Sozee and deliver every brand brief without reshooting a single frame.<\/strong><\/a><\/p>\n<h2>How Sozee Turns Consistency Into a Commercial Asset<\/h2>\n<p>Consistency functions as the product in a monetization workflow, not as a minor quality-of-life feature. A creator whose face, body, and environment drift between posts cannot build a recognizable brand. An agency whose talent looks different in every asset cannot deliver a coherent campaign. Sozee centers four mechanisms that convert consistency into compounding commercial value.<\/p>\n<p><strong>Locked likeness.<\/strong> Upload three photos and Sozee reconstructs the creator&#8217;s likeness with hyper-realistic accuracy. Or generate an entirely original character from scratch, a face that has never existed and stays consistent from the first frame. Either way, the system locks the facial features that typically drift in other AI tools, such as eye spacing, nose width, hairline, ear shape, fixed marks, and jaw angle, so the same face appears in every generation without retraining or seed reuse.<\/p>\n<figure style=\"text-align: center;\"><a href=\"https:\/\/app.sozee.ai\/sign-up\" target=\"_blank\"><img src=\"https:\/\/sozee.ai\/wp-content\/uploads\/2025\/11\/Sozee-60-Seconds-To-Generate-Content-White.gif\" alt=\"GIF of Sozee Platform Generating Images Based On Inputs From Creator on a White Background\" style=\"max-height: 500px;\" loading=\"lazy\" decoding=\"async\"><\/a><figcaption><em>GIF of Sozee Platform Generating Images Based On Inputs From Creator on a White Background<\/em><\/figcaption><\/figure>\n<p><strong>Reusable environments and assets.<\/strong> Every setting, outfit, and object built inside Sozee becomes a saved asset that reattaches to any future shoot. A creator can build a bedroom once and shoot in it for a year. This compounding effect means every shoot makes the next one faster, and every asset in the library increases the commercial value of the account.<\/p>\n<p><strong>Agent workflow.<\/strong> Sozee&#8217;s Agent takes a half-formed idea and interviews the creator into a finished shoot setup. The Agent fills the real prompt and the Photo Control panel so the shoot sits one tap from Generate. For agencies running multiple accounts, the Agent operates across a roster rather than a single profile.<\/p>\n<p><strong>SFW-to-NSFW pipeline.<\/strong> Photo Shoot takes a single image and builds a coherent set of up to ten around it. The set includes a full SFW-to-NSFW arc with pacing and ceiling set by the creator. No other tool in this comparison offers a native, controllable content-tier pipeline for subscription monetization.<\/p>\n<h2>Decision Guide: Matching Tools to Project Types<\/h2>\n<p>Different projects call for different tools, and the right choice depends on indemnification needs, likeness consistency, and workflow complexity. The framework below maps common project types to the most suitable platform based on the criteria covered above.<\/p>\n<ul>\n<li><strong>One-off campaign assets for enterprise brands:<\/strong> Adobe Firefly fits best where indemnification coverage and training-data provenance matter most and likeness consistency does not. Its indemnification coverage provides a contractual baseline that no other general tool in this group matches.<\/li>\n<li><strong>Ongoing subscription content with a consistent persona:<\/strong> Sozee is the only platform that fully supports this use case. Locked likeness, reusable environments, native SFW-to-NSFW pipelines, and per-character scheduling all matter for subscription monetization, and none of the other tools in this comparison provide that full set.<\/li>\n<li><strong>Agency rosters managing multiple creator accounts:<\/strong> Sozee&#8217;s Teams and Workspaces feature provides one login and every client, fully isolated. Each workspace has its own characters, vault, connected accounts, and credits. No other tool in this comparison offers native multi-client isolation with per-character analytics.<\/li>\n<li><strong>Micro-influencer sponsorship deliverables:<\/strong> Sozee removes the production ceiling that causes micro-influencers to turn down deals. Creators can drop the sponsor&#8217;s product into the Object slot, shoot it across as many settings and expressions as the brief requires, and schedule the full campaign from the Vault in a single afternoon.<\/li>\n<li><strong>Simple background removal or one-time product shots:<\/strong> Photoroom or Canva work well for low-stakes, non-repeatable edits where likeness consistency and indemnification are not priorities.<\/li>\n<\/ul>\n<h2>Frequently Asked Questions<\/h2>\n<h3>Does using Sozee protect my privacy and keep my likeness data secure?<\/h3>\n<p>Sozee treats creator likeness as a private, isolated asset. Models built from uploaded photos never train any external system and never cross accounts. Each character remains contained within the creator&#8217;s own workspace, and agencies using Teams and Workspaces receive fully isolated environments per client, with no cross-contamination of likeness data between accounts. Compliance and verification sit inside the character setup process rather than appearing as an afterthought.<\/p>\n<h3>Who owns the images I generate on Sozee?<\/h3>\n<p>Sozee is purpose-built for monetization, so output is designed as sellable creator content. The platform&#8217;s commercial use framework treats generated images as assets the creator directs and owns for use in paid campaigns, brand deals, subscription content, and agency deliverables. Because the creator controls every dimension of the shoot, including setting, outfit, shot style, expression, and object, the human creative direction embedded in each output supports ownership claims under current guidance that requires meaningful human authorship. Creators should keep records of their shoot setups and prompt decisions as documentation of that creative involvement.<\/p>\n<h3>Does Sozee offer indemnification against IP claims?<\/h3>\n<p>Sozee focuses on structural IP risk reduction rather than contractual indemnification. By locking likeness to the creator&#8217;s own verified photos or a generated original character with no real-world source, the platform removes the most common trigger for right-of-publicity and third-party likeness claims before they arise. The platform does not generate unverified third-party faces, does not scrape public likenesses, and does not produce outputs that resemble identifiable real individuals unless the creator uploads their own verified photos. Creators running campaigns in New York or the EU should still apply the required AI disclosure labels to any ad creative featuring AI-generated human figures, because those obligations rest with the brand and agency regardless of which platform they use.<\/p>\n<h3>How does Sozee maintain likeness consistency across a large volume of posts?<\/h3>\n<p>Sozee&#8217;s identity-lock system preserves the same face and body across every generation without retraining a model, reusing a seed, or re-uploading reference images for each shoot. The five Photo Control dimensions, which are Setting, Outfit, Shot style, Expression, and Object, are set once and held across an entire Photo Shoot set of up to ten images. Saved environments, outfit libraries, and object libraries compound over time. Every asset built in one shoot becomes instantly available in the next, so a creator running daily posts across multiple platforms maintains a visually consistent brand with no extra setup effort per session.<\/p>\n<h3>Can Sozee handle both SFW and NSFW content for subscription platforms like Fanvue?<\/h3>\n<p>Sozee supports both SFW and NSFW content for subscription platforms. The Photo Shoot feature generates a coherent locked set of up to ten images from a single source image, including a full SFW-to-NSFW arc where the creator sets both pacing and ceiling. The Scheduler connects natively to Fanvue alongside Instagram, TikTok, X, Facebook, and Reddit, with per-character account management so a creator running separate SFW and NSFW personas keeps them fully isolated. Analytics then separates performance between what Sozee posted and what the creator posted directly, giving a clear view of which content tier drives the most revenue.<\/p>\n<h2>Conclusion<\/h2>\n<p>General AI photo editors create commercial rights liabilities that grow with scale. <a href=\"https:\/\/redescuela.org\/ai-guides\/ai-copyright\" target=\"_blank\" rel=\"noindex nofollow\">The copyright gap confirmed in Thaler, that pure AI-generated content has no owner, leaves commercial sale rights dependent solely on each platform&#8217;s terms of service<\/a>, and most platform terms were written for casual users rather than high-volume creators. <a href=\"https:\/\/debevoise.com\/insights\/publications\/2026\/03\/practical-considerations-for-managing-ip-risk-in\" target=\"_blank\" rel=\"noindex nofollow\">For AI-generated content used in commercial workflows, legal exposure includes not only lack of ownership but also copyright infringement risk and potential vicarious liability for companies deploying third-party AI tools.<\/a><\/p>\n<p>Adobe Firefly remains the strongest general tool for one-off enterprise assets where indemnification coverage is the primary requirement. For creators, agencies, and micro-influencers who need repeatable, sellable output with locked likeness, native monetization pipelines, and platform-level scheduling and analytics, Sozee is the only purpose-built solution in this comparison. Every other tool forces the creator to solve consistency, compliance, and distribution as separate problems with separate tools. Sozee closes that loop in one platform.<\/p>\n<p><a href=\"https:\/\/app.sozee.ai\/sign-up\" target=\"_blank\"><strong>Close the loop \u2014 sign up for Sozee and turn your likeness into a scalable, compliant commercial asset.<\/strong><\/a><\/p>\n<section data-read-next=\"true\">\n<h2>Read Next<\/h2>\n<ul>\n<li><a href=\"https:\/\/sozee.ai\/resources\/best-ai-image-generator-commercial\" target=\"_blank\">Best AI Image Generator with Full Commercial Rights in 2026<\/a><\/li>\n<li><a href=\"https:\/\/sozee.ai\/resources\/best-realistic-ai-photo-editor\" target=\"_blank\">Best Professional AI Image Editor from Photos in 2026<\/a><\/li>\n<li><a href=\"https:\/\/sozee.ai\/resources\/best-ai-photo-generator-commercial\" target=\"_blank\">6 Reasons Sozee Is the Best AI Generator for Commercial Use<\/a><\/li>\n<li><a href=\"https:\/\/sozee.ai\/resources\/best-safe-sfw-ai-photos\" target=\"_blank\">Best AI Tool for Safe SFW Promotional Photos: Sozee Leads<\/a><\/li>\n<li><a href=\"https:\/\/sozee.ai\/resources\/best-ai-photography-tools-2026\" target=\"_blank\">Best AI Photography Tools for Professional Content Creators<\/a><\/li>\n<\/ul>\n<\/section>\n","protected":false},"excerpt":{"rendered":"<p>Compare top AI photo editors for commercial use rights. Sozee locks your likeness, protects your IP, and monetizes content from day one. Start free.<\/p>\n","protected":false},"author":2,"featured_media":35791,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[],"class_list":["post-35792","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-photos"],"_links":{"self":[{"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/posts\/35792","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/comments?post=35792"}],"version-history":[{"count":1,"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/posts\/35792\/revisions"}],"predecessor-version":[{"id":36679,"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/posts\/35792\/revisions\/36679"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/media\/35791"}],"wp:attachment":[{"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/media?parent=35792"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/categories?post=35792"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/tags?post=35792"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}