{"id":3924,"date":"2026-07-15T05:30:07","date_gmt":"2026-07-15T05:30:07","guid":{"rendered":"https:\/\/resources.sozee.ai\/resources\/ai-photo-upscaler-face-restoration\/"},"modified":"2026-07-15T05:30:07","modified_gmt":"2026-07-15T05:30:07","slug":"ai-photo-upscaler-face-restoration","status":"publish","type":"post","link":"https:\/\/www.sozee.ai\/resources\/ai-photo-upscaler-face-restoration\/","title":{"rendered":"Best AI Photo Upscaler for Face Restoration in 2026"},"content":{"rendered":"<h2 id=\"key-takeaways\">Key Takeaways<\/h2>\n<ul>\n<li>Generic AI upscalers often distort faces by creating plastic skin or altering identity. They lack specialized facial priors.<\/li>\n<li>Specialized face restoration models like CodeFormer and GFPGAN recover accurate facial details. They use geometric landmarks and train on millions of portraits.<\/li>\n<li>Professional workflows combine general upscaling with targeted face restoration. This minimizes identity drift and maximizes recoverable detail in old photos.<\/li>\n<li>Pixel size matters. Faces smaller than roughly 80\u00d780 pixels force AI models to invent detail rather than recover it, a threshold explained fully below.<\/li>\n<li>Sozee lets creators lock restored faces as reusable assets. <a href=\"https:\/\/app.sozee.ai\/sign-up\" target=\"_blank\">Start creating now<\/a> to turn one-time restorations into consistent content.<\/li>\n<\/ul>\n<h2>Ten Face Restoration Tools Compared: Features, Pricing, and Fit<\/h2>\n<p>The table below compares ten tools on pricing, face-specific features, and ideal scenarios. Pick Topaz Gigapixel AI for professional batch work, Remini for fast mobile fixes, and Let&#8217;s Enhance or Aiarty for old scanned portraits with heavy fading.<\/p>\n<table>\n<thead>\n<tr>\n<th>Tool<\/th>\n<th>Best Use Case<\/th>\n<th>Face-Specific Capability<\/th>\n<th>Free \/ Paid<\/th>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><a href=\"https:\/\/youngju.dev\/blog\/culture\/2026-05-16-ai-image-upscaling-restoration-2026-topaz-photo-supir-gfpgan-real-esrgan-codeformer-magnific-krea-deep-dive.en\" target=\"_blank\" rel=\"noindex nofollow\">Topaz Gigapixel AI<\/a><\/td>\n<td>Professional portrait restoration, batch processing<\/td>\n<td>Wonder 3 model produces fewer hallucinations and sharper eyes and hair strands<\/td>\n<td>Subscription starting at $19 per month (included in Topaz Studio)<\/td>\n<\/tr>\n<tr>\n<td><a href=\"https:\/\/makemea.ai\/blog\/ai-photo-restoration\" target=\"_blank\" rel=\"noindex nofollow\">Remini<\/a><\/td>\n<td>Quick mobile enhancement of blurry faces<\/td>\n<td><a href=\"https:\/\/rangy.ai\/blog\/best-ai-photo-restoration-tools\" target=\"_blank\" rel=\"noindex nofollow\">One-tap face sharpening, 15M monthly downloads<\/a><\/td>\n<td>Freemium, credits model<\/td>\n<\/tr>\n<tr>\n<td><a href=\"https:\/\/letsenhance.io\/blog\/all\/ai-photo-restoration-guide\" target=\"_blank\" rel=\"noindex nofollow\">Let&#8217;s Enhance<\/a><\/td>\n<td>Old full-body and faded portraits, colorization<\/td>\n<td><a href=\"https:\/\/letsenhance.io\/blog\/all\/ai-photo-restoration-guide\" target=\"_blank\" rel=\"noindex nofollow\">2026 Old Image model improves identity, gender, and age preservation with smarter historical context<\/a><\/td>\n<td>Freemium, credit packs<\/td>\n<\/tr>\n<tr>\n<td><a href=\"https:\/\/stork.ai\/blog\/best-ai-photo-upscalers-2026\" target=\"_blank\" rel=\"noindex nofollow\">Nero AI<\/a><\/td>\n<td>Portrait skin retouch alongside face recovery<\/td>\n<td><a href=\"https:\/\/stork.ai\/blog\/best-ai-photo-upscalers-2026\" target=\"_blank\" rel=\"noindex nofollow\">Dedicated Face Recovery and Skin Retouch models beyond general-purpose competitors<\/a><\/td>\n<td>Freemium<\/td>\n<\/tr>\n<tr>\n<td><a href=\"https:\/\/localaimaster.com\/blog\/ai-image-upscaling-local\" target=\"_blank\" rel=\"noindex nofollow\">Upscayl<\/a><\/td>\n<td>Offline, privacy-first upscaling<\/td>\n<td>Real-ESRGAN base with a <a href=\"https:\/\/pic0.ai\/blog\/ai-image-upscaling-2026-guide\" target=\"_blank\" rel=\"noindex nofollow\">face enhancement parameter but no dedicated face module<\/a><\/td>\n<td>Free and open-source<\/td>\n<\/tr>\n<tr>\n<td><a href=\"https:\/\/stork.ai\/blog\/best-ai-photo-upscalers-2026\" target=\"_blank\" rel=\"noindex nofollow\">Magnific<\/a><\/td>\n<td>Creative or stylized reinterpretation of portraits<\/td>\n<td><a href=\"https:\/\/bestaiweb.ai\/hallucinated-faces-tile-seams-and-the-hard-technical-limits-of-ai-image-upscaling-at-4k-and-8k\" target=\"_blank\" rel=\"noindex nofollow\">Precision mode (mid-2025) caps output at 2x to suppress hallucination<\/a><\/td>\n<td>Paid subscription<\/td>\n<\/tr>\n<tr>\n<td><a href=\"https:\/\/aiphotogenerator.net\/blog\/2026\/03\/best-ai-image-upscalers-2026\" target=\"_blank\" rel=\"noindex nofollow\">Aiarty Image Enhancer<\/a><\/td>\n<td>Old scanned portraits, CCTV stills<\/td>\n<td>Face restoration added in v3.0 (December 2024), reconstructs features from inputs as small as 50x50px, still shows artifacts at extreme low-res<\/td>\n<td>Paid, one-time license<\/td>\n<\/tr>\n<tr>\n<td><a href=\"https:\/\/anthemcreation.com\/en\/artificial-intelligence\/upscaling-ai-image-comparison-2026-best-tools\" target=\"_blank\" rel=\"noindex nofollow\">ON1 Resize AI 2026<\/a><\/td>\n<td>Large-format print preparation<\/td>\n<td><a href=\"https:\/\/www.on1.com\/press\/on1-resize-ai-2023-5-introduces-ai-face-recovery-and-improved-super-resolution-results\/\" target=\"_blank\" rel=\"noindex nofollow\">Face recovery added in v2023.5 (2023)<\/a>, outperforms Aiarty on small faces, PSNR 33 dB<\/td>\n<td>Paid subscription<\/td>\n<\/tr>\n<tr>\n<td><a href=\"https:\/\/anthemcreation.com\/en\/artificial-intelligence\/upscaling-ai-image-comparison-2026-best-tools\" target=\"_blank\" rel=\"noindex nofollow\">VisualGPT<\/a><\/td>\n<td>Vintage film and anime portrait restoration<\/td>\n<td><a href=\"https:\/\/anthemcreation.com\/en\/artificial-intelligence\/upscaling-ai-image-comparison-2026-best-tools\" target=\"_blank\" rel=\"noindex nofollow\">Dedicated facial reconstruction module, PSNR 32 dB, visually convincing on 1960s-80s scans<\/a><\/td>\n<td>Paid, credit model<\/td>\n<\/tr>\n<tr>\n<td><a href=\"https:\/\/youngju.dev\/blog\/culture\/2026-05-16-ai-image-upscaling-restoration-2026-topaz-photo-supir-gfpgan-real-esrgan-codeformer-magnific-krea-deep-dive.en\" target=\"_blank\" rel=\"noindex nofollow\">Krea<\/a><\/td>\n<td>Real-time creative upscaling for content creators<\/td>\n<td>Diffusion-based, strong on stylized outputs, less suitable for archival fidelity<\/td>\n<td>Freemium<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<p><a href=\"https:\/\/youngju.dev\/blog\/culture\/2026-05-16-ai-image-upscaling-restoration-2026-topaz-photo-supir-gfpgan-real-esrgan-codeformer-magnific-krea-deep-dive.en\" target=\"_blank\" rel=\"noindex nofollow\">Open-source models CodeFormer and GFPGAN<\/a> underpin many of these tools. They remain the standard for two-stage pipelines run locally via ComfyUI or Stable Diffusion WebUI.<\/p>\n<h2>The Five-Step Workflow for Restoring Old Photo Faces<\/h2>\n<p>This five-step workflow reflects professional practice. It minimizes identity drift while maximizing recoverable detail.<\/p>\n<ol>\n<li><strong>Scan at 600+ DPI.<\/strong> <a href=\"https:\/\/aiphotogenerator.net\/blog\/2026\/03\/best-ai-image-upscalers-2026\" target=\"_blank\" rel=\"noindex nofollow\">Scan physical prints at a minimum of 600 DPI, or 1200 DPI for small prints, and save as TIFF or high-quality PNG<\/a> to preserve tonal range before processing.<\/li>\n<li><strong>Clean up the image first.<\/strong> Adjust exposure and contrast, then denoise. <a href=\"https:\/\/combb2.io\/blog\/restore-old-photos-complete-workflow\" target=\"_blank\" rel=\"noindex nofollow\">Face restoration should occur after general cleanup but before upscaling<\/a>, because face-specific tools applied too early amplify noise instead of removing it.<\/li>\n<li><strong>Apply a general upscaler.<\/strong> Run <a href=\"https:\/\/youngju.dev\/blog\/culture\/2026-05-16-ai-image-upscaling-restoration-2026-topaz-photo-supir-gfpgan-real-esrgan-codeformer-magnific-krea-deep-dive.en\" target=\"_blank\" rel=\"noindex nofollow\">Real-ESRGAN or Topaz Gigapixel AI in faithful mode<\/a> at 2-4x to enlarge the full image without hallucinating new facial features.<\/li>\n<li><strong>Re-process faces with a specialized model.<\/strong> <a href=\"https:\/\/localaimaster.com\/blog\/ai-image-upscaling-local\" target=\"_blank\" rel=\"noindex nofollow\">Apply CodeFormer (fidelity weight 0.5-0.7 for real people) or GFPGAN v1.4<\/a> as a second pass targeting only detected face regions. This two-stage pipeline is the 2026 standard.<\/li>\n<li><strong>Verify identity before finalizing.<\/strong> <a href=\"https:\/\/photosharpener.com\/blog\/how-do-i-restore-an-old-family-photo-when-ai-keeps-changing-the-persons-face\" target=\"_blank\" rel=\"noindex nofollow\">Compare the result and original side-by-side at 100% zoom, checking eye shape and spacing, nose bridge width, jaw line, and skin texture<\/a>. Run the process two or three times and keep the version that best preserves original features, not the sharpest one.<\/li>\n<\/ol>\n<h2>Why Small Faces Force AI to Guess Instead of Recover<\/h2>\n<p><a href=\"https:\/\/vintagerestorer.app\/what-ai-cannot-fix\" target=\"_blank\" rel=\"noindex nofollow\">CodeFormer and GFPGAN were trained on close-up portraits. They produce smooth, generic, often unsettling results when input faces fall below roughly 80&#215;80 pixels in the scan.<\/a> Below a 30-pixel face crop, GFPGAN may shift fine features slightly as it generates its best estimate, causing minor identity changes.<\/p>\n<p><a href=\"https:\/\/editphotosforfree.com\/blog\/ai-photo-enhancement-explained\" target=\"_blank\" rel=\"noindex nofollow\">A 200&#215;200 pixel face lacks the 600,000+ pixels of ground-truth information needed for an 800&#215;800 output, forcing AI models to generate plausible but unverifiable facial details from learned priors.<\/a> These limits also show up in formal benchmarks. Topaz Gigapixel AI performs well on portrait test images, while <a href=\"https:\/\/anthemcreation.com\/en\/artificial-intelligence\/upscaling-ai-image-comparison-2026-best-tools\" target=\"_blank\" rel=\"noindex nofollow\">VisualGPT achieves 32 dB PSNR yet produces visually convincing results on 1960s-80s film scans<\/a>. Perceptual quality and objective metrics do not always align.<\/p>\n<h2>Four Common Restoration Artifacts and How to Fix Each One<\/h2>\n<p>Four artifact types appear most often in AI face restoration. Each has a distinct cause and a specific fix.<\/p>\n<ul>\n<li><strong>Plastic or waxy skin.<\/strong> <a href=\"https:\/\/letsenhance.io\/blog\/all\/ai-upscaling-makes-images-worse\" target=\"_blank\" rel=\"noindex nofollow\">When micro-texture is lost in low-resolution or compressed photos, AI upscalers replace it with smoothness instead of preserving pores, wrinkles, and natural surface variation.<\/a> Reduce the fidelity weight of the face model, or switch to a faithful upscaling mode, so the model relies less on invented texture.<\/li>\n<li><strong>Identity drift.<\/strong> <a href=\"https:\/\/letsenhance.io\/blog\/all\/ai-upscaling-makes-images-worse\" target=\"_blank\" rel=\"noindex nofollow\">Models fill details using common facial priors rather than observed data, so eyes become more symmetrical, nostrils change shape, and lips sharpen into a different outline.<\/a> Use CodeFormer with a fidelity weight closer to 1 and compare against a reference photo from the same period, which anchors the output to the real face.<\/li>\n<li><strong>Edge halos.<\/strong> <a href=\"https:\/\/letsenhance.io\/blog\/all\/ai-upscaling-makes-images-worse\" target=\"_blank\" rel=\"noindex nofollow\">AI upscalers often confuse compression artifacts with real detail, producing halos as a side effect of sharpening algorithms.<\/a> Apply a mild unsharp mask manually after restoration instead of relying on the upscaler&#8217;s built-in sharpening, which causes the halo in the first place.<\/li>\n<li><strong>Tile seams.<\/strong> <a href=\"https:\/\/bestaiweb.ai\/hallucinated-faces-tile-seams-and-the-hard-technical-limits-of-ai-image-upscaling-at-4k-and-8k\" target=\"_blank\" rel=\"noindex nofollow\">Tile-local processing required by VRAM limits causes normalization drift between adjacent tiles, which shows up as visible seams.<\/a> Reduce denoising strength or use a tool with full-canvas attention, such as Topaz Gigapixel AI&#8217;s native face detection pipeline, to avoid the tile boundary problem entirely.<\/li>\n<\/ul>\n<h2>When Damage Is Too Severe for AI to Recover<\/h2>\n<p><a href=\"https:\/\/editphotosforfree.com\/blog\/ai-photo-enhancement-explained\" target=\"_blank\" rel=\"noindex nofollow\">AI face enhancement on heavily damaged photos, where scratches, tears, or fading cover more than 5-10% of the face area, produces plausible but generic faces based on statistical averages, not an accurate likeness of the individual.<\/a><\/p>\n<p>Several conditions place a photo beyond reliable AI recovery. <a href=\"https:\/\/vintagerestorer.app\/what-ai-cannot-fix\" target=\"_blank\" rel=\"noindex nofollow\">Glare, reflections, or overexposure baked into the original pixels prevent AI from separating the face from a light blob.<\/a> <a href=\"https:\/\/z.tools\/blog\/ai-old-photo-restoration\" target=\"_blank\" rel=\"noindex nofollow\">At 12 pixels wide, a face crop yields an invented result that may not resemble the original person at all.<\/a> <a href=\"https:\/\/vintagerestorer.app\/what-ai-cannot-fix\" target=\"_blank\" rel=\"noindex nofollow\">Large tears, lost corners, water stains, or chemical burns over facial features cannot be truthfully recreated by any current model.<\/a><\/p>\n<p>Professional human restoration using reference photos remains the right choice here. <a href=\"https:\/\/photosharpener.com\/blog\/how-do-i-restore-an-old-family-photo-when-ai-keeps-changing-the-persons-face\" target=\"_blank\" rel=\"noindex nofollow\">It typically costs $25-$100 per photo<\/a> and draws on contextual knowledge no model encodes. But even when AI restoration succeeds on a single image, a new challenge emerges: keeping that same face consistent across dozens of future images.<\/p>\n<h2>Keeping the Same Face Consistent Across Every New Image<\/h2>\n<p>Restoring a single face is only half the problem for creators, archivists, and content teams. The harder challenge is producing the same recognizable person across different shoots, campaigns, or archival sets. Every re-upload introduces stochastic variation. <a href=\"https:\/\/editphotosforfree.com\/blog\/ai-photo-enhancement-explained\" target=\"_blank\" rel=\"noindex nofollow\">AI upscalers can produce subtly different face restorations on repeated runs of the same input due to probabilistic sampling.<\/a><\/p>\n<p>A post-restoration consistency layer solves this. Sozee&#8217;s refine and upscale features address exactly this need. Once a restored face is uploaded, the platform locks the likeness, the same face and body in every frame, and builds it into a reusable asset. Creators attach that locked character to saved environments, outfit libraries, and object sets, generating new content without re-uploading or re-restoring the source image. Every shoot set up in Sozee makes the next one faster, turning a one-time restoration into an ongoing content engine.<\/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<h2>Weighing Free Tools Against Paid Subscriptions<\/h2>\n<p>The free-versus-paid decision comes down to control, quality ceiling, and how many images you need to process at once.<\/p>\n<p><a href=\"https:\/\/localaimaster.com\/blog\/ai-image-upscaling-local\" target=\"_blank\" rel=\"noindex nofollow\">Upscayl is free, open-source, and runs entirely offline<\/a> on Real-ESRGAN. It offers privacy and no credit limits, but it lacks a dedicated face module, so results on degraded portraits fall short of specialized tools. CodeFormer and GFPGAN are also free and run locally via ComfyUI or Stable Diffusion WebUI, though they need technical setup, and <a href=\"https:\/\/github.com\/Fanghua-Yu\/SUPIR\/issues\/16\" target=\"_blank\" rel=\"noindex nofollow\">SUPIR requires roughly 30 GB of VRAM by default<\/a> for its highest-quality diffusion-based restoration.<\/p>\n<p>On the paid side, Topaz Photo AI now runs on subscription pricing and delivers the highest benchmark scores and most capable face module in 2026, with local batch processing. Remini leads mobile usage with 17.31 million monthly active users as of April 2026, fast and accessible but with less control over fidelity weight than desktop tools. Let&#8217;s Enhance sits in the middle: cloud-based, credit-priced, and built specifically for faded full-body portraits and historical colorization.<\/p>\n<h2>Questions Creators Still Ask About Face Restoration<\/h2>\n<h3>What is the best AI for very blurry faces?<\/h3>\n<p>Topaz Gigapixel AI&#8217;s Wonder 3 model paired with CodeFormer as a second-stage pass is the strongest 2026 combination. Wonder 3 reduces hallucinations and plastic skin while sharpening eyes, eyelashes, and hair strands. CodeFormer&#8217;s fidelity weight lets you balance identity preservation against sharpness, which makes it the preferred open-source choice for old photos. Remini&#8217;s one-tap enhancement works well for mildly blurry mobile photos, though it offers less parameter control.<\/p>\n<h3>Are there any genuinely free AI face restoration tools?<\/h3>\n<p>Let&#8217;s Enhance offers a free tier with credit limits, plus an Old Photo mode suited to vintage portraits. Upscayl is fully free and open-source but runs locally instead of in a browser, and it skips a dedicated face module. GFPGAN and CodeFormer are free to run through Stable Diffusion WebUI or ComfyUI, but both need a capable GPU and technical setup. For a no-install browser option, Let&#8217;s Enhance&#8217;s free tier is the easiest starting point.<\/p>\n<h3>Why do specialized face models outperform generic upscalers?<\/h3>\n<p>Generic upscalers like Real-ESRGAN reconstruct texture by interpolating between existing pixels. They carry no knowledge of facial anatomy, so small or degraded faces often look smudged or oddly symmetrical after processing. GFPGAN, CodeFormer, and GPEN train exclusively on face images and use geometric priors like landmarks, heatmaps, and parsing maps. GFPGAN injects a generative prior from a pretrained StyleGAN2 model. CodeFormer uses a codebook of high-quality face components, which enables its fidelity weight control. The result: specialized models recover eye detail, skin texture, and identity-consistent structure that generic tools miss, especially below the 80&#215;80 pixel threshold mentioned earlier. The NTIRE 2026 challenge required submissions to maintain facial identity similarity above set thresholds using AdaFace cosine similarity, a bar generic upscalers were never built to meet.<\/p>\n<h3>Do scan resolution and DPI override the pixel-size problem?<\/h3>\n<p>No. These pixel limits apply no matter what DPI a print was scanned at. Even a 1200 DPI scan of a wallet-size original may not contain enough face pixels for reliable restoration. Group photos with small background faces, heavily cropped portraits, and tiny original prints all hit the same hard ceiling described earlier: below roughly 80&#215;80 pixels, models invent detail instead of recovering it.<\/p>\n<h2>Where Face Restoration Is Headed Next<\/h2>\n<p>The 2026 landscape marks a clear turning point. Dedicated face modules are now standard in tools that once shipped only general upscaling. Aiarty added face restoration in version 3.0 in December 2024, ON1 <a href=\"https:\/\/www.on1.com\/press\/on1-resize-ai-2023-5-introduces-ai-face-recovery-and-improved-super-resolution-results\/\" target=\"_blank\" rel=\"noindex nofollow\">added face recovery in version 2023.5 in 2023<\/a>, and Topaz&#8217;s Wonder 3 model cut hallucinations significantly over its predecessor. NTIRE 2026 challenge results point toward modular multi-stage designs that combine foundation models with identity-preserving constraints like ArcFace supervision, pushing quality closer to results indistinguishable from real photographs.<\/p>\n<p>For creators, the next frontier isn&#8217;t restoration quality alone. It&#8217;s consistency at scale. A restored face that looks different on every export, or must be re-uploaded to every new tool, isn&#8217;t a production asset. The creator economy needs a platform that treats a restored face as a locked, reusable character instead of a one-time output. Sozee&#8217;s refine and upscale features, paired with its locked-likeness studio, reusable environments, and native scheduling, close that loop.<\/p>\n<p>Ready to put this into practice? <a href=\"https:\/\/app.sozee.ai\/sign-up\" target=\"_blank\"><strong>Restore once, direct forever, get started with Sozee and turn today&#8217;s restoration into your next character.<\/strong><\/a><\/p>\n","protected":false},"excerpt":{"rendered":"<p>Restore blurry faces with AI-powered upscaling. Sozee helps creators turn one-time restorations into reusable assets. Start for free today!<\/p>\n","protected":false},"author":2,"featured_media":3923,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[2],"tags":[62],"class_list":["post-3924","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-ai-photos","tag-upscaling"],"_links":{"self":[{"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/posts\/3924","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=3924"}],"version-history":[{"count":0,"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/posts\/3924\/revisions"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/media\/3923"}],"wp:attachment":[{"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/media?parent=3924"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/categories?post=3924"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/www.sozee.ai\/resources\/wp-json\/wp\/v2\/tags?post=3924"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}