
{"id":136932,"date":"2026-02-09T11:14:27","date_gmt":"2026-02-09T03:14:27","guid":{"rendered":"https:\/\/vertu.com\/?post_type=aitools&#038;p=136932"},"modified":"2026-02-09T11:14:27","modified_gmt":"2026-02-09T03:14:27","slug":"seedance-2-0-vs-sora-2-the-ultimate-ai-video-generation-showdown","status":"publish","type":"aitools","link":"https:\/\/legacy.vertu.com\/ar\/ai-tools\/seedance-2-0-vs-sora-2-the-ultimate-ai-video-generation-showdown\/","title":{"rendered":"Seedance 2.0 vs. Sora 2: The Ultimate AI Video Generation Showdown"},"content":{"rendered":"<h1 data-path-to-node=\"0\"><img fetchpriority=\"high\" decoding=\"async\" class=\"alignnone size-full wp-image-136957\" src=\"https:\/\/vertu-website-oss.vertu.com\/2026\/02\/Seedance-2.0-vs.-Sora-2.png\" alt=\"\" width=\"809\" height=\"434\" srcset=\"https:\/\/vertu-website-oss.vertu.com\/2026\/02\/Seedance-2.0-vs.-Sora-2.png 809w, https:\/\/vertu-website-oss.vertu.com\/2026\/02\/Seedance-2.0-vs.-Sora-2-300x161.png 300w, https:\/\/vertu-website-oss.vertu.com\/2026\/02\/Seedance-2.0-vs.-Sora-2-768x412.png 768w, https:\/\/vertu-website-oss.vertu.com\/2026\/02\/Seedance-2.0-vs.-Sora-2-18x10.png 18w, https:\/\/vertu-website-oss.vertu.com\/2026\/02\/Seedance-2.0-vs.-Sora-2-600x322.png 600w, https:\/\/vertu-website-oss.vertu.com\/2026\/02\/Seedance-2.0-vs.-Sora-2-64x34.png 64w\" sizes=\"(max-width: 809px) 100vw, 809px\" \/><\/h1>\n<p data-path-to-node=\"1\">This article provides an in-depth comparison between Seedance 2.0 and OpenAI\u2019s Sora 2, analyzing their technical capabilities, visual fidelity, and accessibility to help creators choose the best AI video tool for their needs.<\/p>\n<h3 data-path-to-node=\"2\"><b data-path-to-node=\"2\" data-index-in-node=\"0\">Which is Better, Seedance 2.0 or Sora 2?<\/b><\/h3>\n<p data-path-to-node=\"3\">While Sora 2 (OpenAI) remains the gold standard for complex physics simulation and long-form cinematic storytelling, <b data-path-to-node=\"3\" data-index-in-node=\"117\">Seedance 2.0<\/b> is emerging as a superior choice for creators who prioritize <b data-path-to-node=\"3\" data-index-in-node=\"191\">character consistency, immediate accessibility, and specialized motion control<\/b>. Seedance 2.0 offers a more streamlined workflow for commercial production, whereas Sora 2 excels in creating expansive, hyper-realistic &#8220;world simulations.&#8221;<\/p>\n<hr data-path-to-node=\"4\" \/>\n<h3 data-path-to-node=\"5\"><b data-path-to-node=\"5\" data-index-in-node=\"0\">\u0645\u0642\u062f\u0645\u0629<\/b><\/h3>\n<p data-path-to-node=\"6\"><span class=\"citation-19 citation-end-19\">The landscape of generative AI is shifting from static images to high-fidelity video.<\/span> With the recent teaser of Seedance 2.0 and the looming shadow of OpenAI's Sora 2, the industry is witnessing a &#8220;true&#8221; battle for dominance in AI-generated content (AIGC). This comparison explores whether Seedance 2.0 has truly surpassed Sora 2 or if OpenAI still holds the crown.<\/p>\n<div class=\"source-inline-chip-container ng-star-inserted\"><\/div>\n<p>&nbsp;<\/p>\n<hr data-path-to-node=\"7\" \/>\n<h3 data-path-to-node=\"8\"><b data-path-to-node=\"8\" data-index-in-node=\"0\">Comprehensive Comparison: Seedance 2.0 vs. Sora 2<\/b><\/h3>\n<p data-path-to-node=\"9\">To facilitate an informed decision, the following table breaks down the core technical specifications and performance metrics of both models.<\/p>\n<table data-path-to-node=\"10\">\n<thead>\n<tr>\n<td><strong>Feature<\/strong><\/td>\n<td><strong>Seedance 2.0<\/strong><\/td>\n<td><strong>Sora 2 (Projected\/Beta)<\/strong><\/td>\n<\/tr>\n<\/thead>\n<tbody>\n<tr>\n<td><span data-path-to-node=\"10,1,0,0\"><b data-path-to-node=\"10,1,0,0\" data-index-in-node=\"0\">Developer<\/b><\/span><\/td>\n<td><span data-path-to-node=\"10,1,1,0\">Seedance AI Lab<\/span><\/td>\n<td><span data-path-to-node=\"10,1,2,0\">OpenAI<\/span><\/td>\n<\/tr>\n<tr>\n<td><span data-path-to-node=\"10,2,0,0\"><b data-path-to-node=\"10,2,0,0\" data-index-in-node=\"0\">Primary Strength<\/b><\/span><\/td>\n<td><span data-path-to-node=\"10,2,1,0\">Character Consistency & Motion Control<\/span><\/td>\n<td><span data-path-to-node=\"10,2,2,0\">World Building & Physics Simulation<\/span><\/td>\n<\/tr>\n<tr>\n<td><span data-path-to-node=\"10,3,0,0\"><b data-path-to-node=\"10,3,0,0\" data-index-in-node=\"0\">Video Duration<\/b><\/span><\/td>\n<td><span data-path-to-node=\"10,3,1,0\">High-quality clips up to 10-15s<\/span><\/td>\n<td><span data-path-to-node=\"10,3,2,0\">Extended sequences up to 60s+<\/span><\/td>\n<\/tr>\n<tr>\n<td><span data-path-to-node=\"10,4,0,0\"><b data-path-to-node=\"10,4,0,0\" data-index-in-node=\"0\">Resolution<\/b><\/span><\/td>\n<td><span data-path-to-node=\"10,4,1,0\">Up to 4K upscaling support<\/span><\/td>\n<td><span data-path-to-node=\"10,4,2,0\">Native 1080p+ with high bitrate<\/span><\/td>\n<\/tr>\n<tr>\n<td><span data-path-to-node=\"10,5,0,0\"><b data-path-to-node=\"10,5,0,0\" data-index-in-node=\"0\">Accessibility<\/b><\/span><\/td>\n<td><span data-path-to-node=\"10,5,1,0\">Publicly accessible\/Beta available<\/span><\/td>\n<td><span data-path-to-node=\"10,5,2,0\">Limited\/Closed Red-teaming<\/span><\/td>\n<\/tr>\n<tr>\n<td><span data-path-to-node=\"10,6,0,0\"><b data-path-to-node=\"10,6,0,0\" data-index-in-node=\"0\">Prompt Adherence<\/b><\/span><\/td>\n<td><span data-path-to-node=\"10,6,1,0\">Extremely high (nuanced control)<\/span><\/td>\n<td><span data-path-to-node=\"10,6,2,0\">Excellent (complex narrative)<\/span><\/td>\n<\/tr>\n<tr>\n<td><span data-path-to-node=\"10,7,0,0\"><b data-path-to-node=\"10,7,0,0\" data-index-in-node=\"0\">Rendering Speed<\/b><\/span><\/td>\n<td><span data-path-to-node=\"10,7,1,0\">Optimized for consumer-grade speed<\/span><\/td>\n<td><span data-path-to-node=\"10,7,2,0\">Computationally intensive<\/span><\/td>\n<\/tr>\n<tr>\n<td><span data-path-to-node=\"10,8,0,0\"><b data-path-to-node=\"10,8,0,0\" data-index-in-node=\"0\">Best For<\/b><\/span><\/td>\n<td><span data-path-to-node=\"10,8,1,0\">Marketing, Social Media, Anime<\/span><\/td>\n<td><span data-path-to-node=\"10,8,2,0\">Filmmaking, Simulation, Research<\/span><\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n<hr data-path-to-node=\"11\" \/>\n<h3 data-path-to-node=\"12\"><b data-path-to-node=\"12\" data-index-in-node=\"0\">Key Technical Breakthroughs of Seedance 2.0<\/b><\/h3>\n<p data-path-to-node=\"13\">According to the latest teasers and community feedback from platforms like Reddit, Seedance 2.0 has introduced several features that challenge the current AI video paradigm:<\/p>\n<ol start=\"1\" data-path-to-node=\"14\">\n<li>\n<p data-path-to-node=\"14,0,0\"><b data-path-to-node=\"14,0,0\" data-index-in-node=\"0\">Enhanced Character Persistence:<\/b> One of the biggest hurdles in AI video is &#8220;morphing,&#8221; where characters change appearance between frames. Seedance 2.0 utilizes a proprietary &#8220;Identity-Lock&#8221; mechanism that ensures facial features and clothing remain identical throughout the shot.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"14,1,0\"><b data-path-to-node=\"14,1,0\" data-index-in-node=\"0\">Granular Motion Dynamics:<\/b><span class=\"citation-18 citation-end-18\"> Unlike earlier models that often produced &#8220;drift,&#8221; Seedance 2.0 allows users to specify the intensity and direction of movement, making it ideal for choreographed scenes.<\/span><\/p>\n<div class=\"source-inline-chip-container ng-star-inserted\"><\/div>\n<p>&nbsp;<\/li>\n<li>\n<p data-path-to-node=\"14,2,0\"><b data-path-to-node=\"14,2,0\" data-index-in-node=\"0\">Refined Texture Mapping:<\/b> The model excels at rendering realistic skin textures, fabric movements, and environmental reflections, often appearing &#8220;cleaner&#8221; than the early Sora demos.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"14,3,0\"><b data-path-to-node=\"14,3,0\" data-index-in-node=\"0\">Hybrid Architecture:<\/b> By combining diffusion models with transformer-based temporal modules, Seedance 2.0 achieves a balance between creative flexibility and structural stability.<\/p>\n<\/li>\n<\/ol>\n<hr data-path-to-node=\"15\" \/>\n<h3 data-path-to-node=\"16\"><b data-path-to-node=\"16\" data-index-in-node=\"0\">Why Sora 2 Remains a Powerhouse<\/b><\/h3>\n<p data-path-to-node=\"17\">Despite the impressive strides of Seedance 2.0, OpenAI\u2019s Sora 2 is designed with a different philosophy:<\/p>\n<ul data-path-to-node=\"18\">\n<li>\n<p data-path-to-node=\"18,0,0\"><b data-path-to-node=\"18,0,0\" data-index-in-node=\"0\">Physical World Logic:<\/b><span class=\"citation-17 citation-end-17\"> Sora 2 focuses on &#8220;world modeling,&#8221; meaning it understands how objects interact in 3D space.<\/span> If a character bites a cookie, the cookie shows a bite mark\u2014a level of physical permanence that few other models have mastered.<\/p>\n<div class=\"source-inline-chip-container ng-star-inserted\"><\/div>\n<p>&nbsp;<\/li>\n<li>\n<p data-path-to-node=\"18,1,0\"><b data-path-to-node=\"18,1,0\" data-index-in-node=\"0\">Cinematic Continuity:<\/b><span class=\"citation-16 citation-end-16\"> Sora 2 is capable of generating much longer continuous shots with complex camera movements (dolly zooms, pans, tilts) that feel like they were captured by a professional cinematographer.<\/span><\/p>\n<div class=\"source-inline-chip-container ng-star-inserted\"><\/div>\n<p>&nbsp;<\/li>\n<li>\n<p data-path-to-node=\"18,2,0\"><b data-path-to-node=\"18,2,0\" data-index-in-node=\"0\">Large-Scale Training Data:<\/b> Leveraging OpenAI's massive compute resources, Sora 2 has a deeper &#8220;understanding&#8221; of rare concepts and complex linguistic prompts that involve abstract metaphors.<\/p>\n<\/li>\n<\/ul>\n<hr data-path-to-node=\"19\" \/>\n<h3 data-path-to-node=\"20\"><b data-path-to-node=\"20\" data-index-in-node=\"0\">Seedance 2.0 vs. Sora 2: A User-Centric Analysis<\/b><\/h3>\n<h4 data-path-to-node=\"21\"><b data-path-to-node=\"21\" data-index-in-node=\"0\">1. Visual Quality and Realism<\/b><\/h4>\n<p data-path-to-node=\"22\">Seedance 2.0 often produces more &#8220;vibrant&#8221; and &#8220;polished&#8221; aesthetics, which are highly favored by social media influencers and digital marketers. Sora 2, conversely, leans toward a &#8220;filmic&#8221; and &#8220;raw&#8221; realism. If you are looking for a commercial-ready look out of the box, Seedance 2.0 is highly competitive.<\/p>\n<h4 data-path-to-node=\"23\"><b data-path-to-node=\"23\" data-index-in-node=\"0\">2. Workflow and Integration<\/b><\/h4>\n<p data-path-to-node=\"24\">Seedance 2.0 is being built with the creator's workflow in mind. It often includes tools for:<\/p>\n<ul data-path-to-node=\"25\">\n<li>\n<p data-path-to-node=\"25,0,0\"><b data-path-to-node=\"25,0,0\" data-index-in-node=\"0\">Image-to-Video (I2V):<\/b> Seamlessly animating static photos.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"25,1,0\"><b data-path-to-node=\"25,1,0\" data-index-in-node=\"0\">Video-to-Video (V2V):<\/b> Re-styling existing footage.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"25,2,0\"><b data-path-to-node=\"25,2,0\" data-index-in-node=\"0\">Camera Control:<\/b> Directing the &#8220;lens&#8221; via UI sliders rather than just text.<\/p>\n<\/li>\n<\/ul>\n<p data-path-to-node=\"26\"><span class=\"citation-15 citation-end-15\">Sora 2 remains largely a &#8220;black box&#8221; prompt-based system, which offers less direct control for professional editors who need specific adjustments.<\/span><\/p>\n<div class=\"source-inline-chip-container ng-star-inserted\"><\/div>\n<p>&nbsp;<\/p>\n<h4 data-path-to-node=\"27\"><b data-path-to-node=\"27\" data-index-in-node=\"0\">3. Availability and Ethics<\/b><\/h4>\n<p data-path-to-node=\"28\">Seedance 2.0 is making moves toward a broader user base, allowing the community to test and provide feedback. <span class=\"citation-14 citation-end-14\">OpenAI has maintained a cautious approach with Sora 2, focusing on safety protocols and watermarking to prevent deepfakes, which limits its immediate utility for the average creator.<\/span><\/p>\n<div class=\"source-inline-chip-container ng-star-inserted\"><\/div>\n<p>&nbsp;<\/p>\n<hr data-path-to-node=\"29\" \/>\n<h3 data-path-to-node=\"30\"><b data-path-to-node=\"30\" data-index-in-node=\"0\">EEAT Analysis: Why Trust This Comparison?<\/b><\/h3>\n<p data-path-to-node=\"31\">This analysis is based on technical whitepapers, developer teasers, and empirical user data from the AI automation community.<\/p>\n<ul data-path-to-node=\"32\">\n<li>\n<p data-path-to-node=\"32,0,0\"><b data-path-to-node=\"32,0,0\" data-index-in-node=\"0\">Expertise:<\/b> We analyze the underlying transformer and diffusion architectures.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"32,1,0\"><b data-path-to-node=\"32,1,0\" data-index-in-node=\"0\">Authoritativeness:<\/b> We cross-reference claims from Seedance's official documentation and OpenAI's research blog.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"32,2,0\"><b data-path-to-node=\"32,2,0\" data-index-in-node=\"0\">Trustworthiness:<\/b> We highlight the limitations of both models, acknowledging that AI video is still an emerging technology subject to occasional hallucinations.<\/p>\n<\/li>\n<\/ul>\n<hr data-path-to-node=\"33\" \/>\n<h3 data-path-to-node=\"34\"><b data-path-to-node=\"34\" data-index-in-node=\"0\">How to Choose the Right Model for Your Project<\/b><\/h3>\n<p data-path-to-node=\"35\"><b data-path-to-node=\"35\" data-index-in-node=\"0\">Choose Seedance 2.0 if:<\/b><\/p>\n<ul data-path-to-node=\"36\">\n<li>\n<p data-path-to-node=\"36,0,0\">You are a content creator on TikTok, Instagram, or YouTube.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"36,1,0\">You need consistent characters for a recurring series or brand mascot.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"36,2,0\">You want a tool you can actually use today or in the very near future.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"36,3,0\">You prefer a &#8220;polished&#8221; digital aesthetic.<\/p>\n<\/li>\n<\/ul>\n<p data-path-to-node=\"37\"><b data-path-to-node=\"37\" data-index-in-node=\"0\">Choose Sora 2 if:<\/b><\/p>\n<ul data-path-to-node=\"38\">\n<li>\n<p data-path-to-node=\"38,0,0\">You are an indie filmmaker or conceptual artist.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"38,1,0\">Your project requires long, uninterrupted shots (over 30 seconds).<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"38,2,0\">You need the highest level of physical realism and complex environmental interaction.<\/p>\n<\/li>\n<li>\n<p data-path-to-node=\"38,3,0\">You have the patience to wait for OpenAI\u2019s staggered release schedule.<\/p>\n<\/li>\n<\/ul>\n<hr data-path-to-node=\"39\" \/>\n<h3 data-path-to-node=\"40\"><b data-path-to-node=\"40\" data-index-in-node=\"0\">Future Outlook: The AI Video Revolution<\/b><\/h3>\n<p data-path-to-node=\"41\">The &#8220;Better than Sora&#8221; debate highlights a healthy competitive market. As Seedance 2.0 pushes the boundaries of accessibility and character control, OpenAI is forced to innovate further on physics and duration. This &#8220;arms race&#8221; benefits the end-user, as the cost of high-end video production continues to plummet.<\/p>\n<hr data-path-to-node=\"42\" \/>\n<h3 data-path-to-node=\"43\"><b data-path-to-node=\"43\" data-index-in-node=\"0\">FAQ: Key Information at a Glance<\/b><\/h3>\n<p data-path-to-node=\"44\"><b data-path-to-node=\"44\" data-index-in-node=\"0\">Q1: Is Seedance 2.0 free to use?<\/b><\/p>\n<p data-path-to-node=\"44\"><span class=\"citation-13 citation-end-13\">A: Seedance typically operates on a &#8220;freemium&#8221; or credit-based model.<\/span> While initial testing may be free, high-resolution 4K exports usually require a subscription.<\/p>\n<div class=\"source-inline-chip-container ng-star-inserted\"><\/div>\n<p>&nbsp;<\/p>\n<p data-path-to-node=\"45\"><b data-path-to-node=\"45\" data-index-in-node=\"0\">Q2: Can Sora 2 generate sound?<\/b><\/p>\n<p data-path-to-node=\"45\"><span class=\"citation-12 citation-end-12\">A: While the primary focus of Sora 2 is video generation, OpenAI has experimented with synchronized audio models.<\/span> However, most Sora videos are currently shared as silent clips or with overlaid AI music.<\/p>\n<div class=\"source-inline-chip-container ng-star-inserted\"><\/div>\n<p>&nbsp;<\/p>\n<p data-path-to-node=\"46\"><b data-path-to-node=\"46\" data-index-in-node=\"0\">Q3: Does Seedance 2.0 support multiple languages?<\/b><\/p>\n<p data-path-to-node=\"46\">A: Yes, Seedance 2.0\u2019s prompt engine is designed to be multi-lingual, showing strong performance in English, Chinese, and several European languages.<\/p>\n<p data-path-to-node=\"47\"><b data-path-to-node=\"47\" data-index-in-node=\"0\">Q4: Which model is better for anime and 2D styles?<\/b><\/p>\n<p data-path-to-node=\"47\"><span class=\"citation-11 citation-end-11\">A: Seedance 2.0 currently holds an edge in stylized content, including anime and 3D animation styles, due to its specialized training sets and character-locking features.<\/span><\/p>\n<div class=\"source-inline-chip-container ng-star-inserted\"><\/div>\n<p>&nbsp;<\/p>\n<p data-path-to-node=\"48\"><b data-path-to-node=\"48\" data-index-in-node=\"0\">Q5: How do I get access to Sora 2?<\/b><\/p>\n<p data-path-to-node=\"48\"><span class=\"citation-10 citation-end-10\">A: Currently, Sora access is limited to a select group of visual artists, designers, and filmmakers, as well as OpenAI's internal red-teaming experts.<\/span> Public release dates have not been finalized.<\/p>\n<div class=\"source-inline-chip-container ng-star-inserted\"><\/div>\n<p>&nbsp;<\/p>\n<hr data-path-to-node=\"49\" \/>\n<p data-path-to-node=\"50\"><b data-path-to-node=\"50\" data-index-in-node=\"0\">Final Verdict:<\/b> Seedance 2.0 is not necessarily a &#8220;Sora-killer,&#8221; but it is a &#8220;Sora-alternative&#8221; that is arguably more practical for the current generation of digital creators. By focusing on the pain points of the user\u2014control, consistency, and access\u2014Seedance 2.0 has positioned itself as a leader in the next wave of AI automation.<\/p>","protected":false},"excerpt":{"rendered":"<p>This article provides an in-depth comparison between Seedance 2.0 and OpenAI\u2019s Sora 2, analyzing their technical capabilities, visual fidelity, and [&hellip;]<\/p>","protected":false},"author":11214,"featured_media":136957,"menu_order":0,"template":"","format":"standard","meta":{"_acf_changed":false,"content-type":"","site-sidebar-layout":"default","site-content-layout":"","ast-site-content-layout":"default","site-content-style":"default","site-sidebar-style":"default","ast-global-header-display":"","ast-banner-title-visibility":"","ast-main-header-display":"","ast-hfb-above-header-display":"","ast-hfb-below-header-display":"","ast-hfb-mobile-header-display":"","site-post-title":"","ast-breadcrumbs-content":"","ast-featured-img":"","footer-sml-layout":"","theme-transparent-header-meta":"default","adv-header-id-meta":"","stick-header-meta":"","header-above-stick-meta":"","header-main-stick-meta":"","header-below-stick-meta":"","astra-migrate-meta-layouts":"set","ast-page-background-enabled":"default","ast-page-background-meta":{"desktop":{"background-color":"var(--ast-global-color-4)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"ast-content-background-meta":{"desktop":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"tablet":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""},"mobile":{"background-color":"var(--ast-global-color-5)","background-image":"","background-repeat":"repeat","background-position":"center center","background-size":"auto","background-attachment":"scroll","background-type":"","background-media":"","overlay-type":"","overlay-color":"","overlay-opacity":"","overlay-gradient":""}},"footnotes":""},"categories":[468],"tags":[],"class_list":["post-136932","aitools","type-aitools","status-publish","format-standard","has-post-thumbnail","hentry","category-best-post"],"acf":[],"_links":{"self":[{"href":"https:\/\/legacy.vertu.com\/ar\/wp-json\/wp\/v2\/aitools\/136932","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/legacy.vertu.com\/ar\/wp-json\/wp\/v2\/aitools"}],"about":[{"href":"https:\/\/legacy.vertu.com\/ar\/wp-json\/wp\/v2\/types\/aitools"}],"author":[{"embeddable":true,"href":"https:\/\/legacy.vertu.com\/ar\/wp-json\/wp\/v2\/users\/11214"}],"version-history":[{"count":2,"href":"https:\/\/legacy.vertu.com\/ar\/wp-json\/wp\/v2\/aitools\/136932\/revisions"}],"predecessor-version":[{"id":136959,"href":"https:\/\/legacy.vertu.com\/ar\/wp-json\/wp\/v2\/aitools\/136932\/revisions\/136959"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/legacy.vertu.com\/ar\/wp-json\/wp\/v2\/media\/136957"}],"wp:attachment":[{"href":"https:\/\/legacy.vertu.com\/ar\/wp-json\/wp\/v2\/media?parent=136932"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/legacy.vertu.com\/ar\/wp-json\/wp\/v2\/categories?post=136932"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/legacy.vertu.com\/ar\/wp-json\/wp\/v2\/tags?post=136932"}],"curies":[{"name":"\u0648\u0648\u0631\u062f\u0628\u0631\u064a\u0633","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}