{"id":137611,"date":"2026-02-12T11:11:59","date_gmt":"2026-02-12T03:11:59","guid":{"rendered":"https:\/\/vertu.com\/?post_type=aitools&p=137611"},"modified":"2026-02-12T11:21:29","modified_gmt":"2026-02-12T03:21:29","slug":"seedream-5-0-launch-bytedances-new-ai-image-model-with-2k-4k-output","status":"publish","type":"aitools","link":"https:\/\/legacy.vertu.com\/ar\/ai-tools\/seedream-5-0-launch-bytedances-new-ai-image-model-with-2k-4k-output\/","title":{"rendered":"Seedream 5.0 Launch: ByteDance’s New AI Image Model With 2K\/4K Output"},"content":{"rendered":"

\"\"<\/h1>\n

Complete Guide to Seedream 5.0's Intelligence-First Upgrade\u2014Free 20-Use Trial, Enhanced Understanding, Online Search, Precise Editing, and Complex Knowledge Task Handling<\/h2>\n

ByteDance launched Seedream 5.0<\/strong> on February 10, 2026, across Jianying (CapCut), Capcut international, and Xiaoyunque AI platform with gray-scale testing on Zimeng AI<\/strong> and free limited-time access<\/strong>. The Core Upgrade<\/strong>: Seedream 5.0 prioritizes intelligence over aesthetics<\/strong>, supporting 2K direct output and 4K AI-enhanced resolution<\/strong>, retrieval-based image generation<\/strong> (first time), enhanced prompt understanding<\/strong> (including abstract concepts like “quiet and technological sense”), more detailed\/delicate textures<\/strong>, and precise adjustment tools<\/strong> with brush selection. Competitive Positioning<\/strong>: CapCut claims Seedream 5.0 “comparable to Nano Banana Pro”<\/strong> while being cheaper, with 20 free uses<\/strong> for all users and US launch planned. Real-World Testing<\/strong>: Zhidx comparison reveals Seedream 5.0 excels at detailed text descriptions<\/strong> (most detailed step explanations in beer-making infographic test), diverse generation styles<\/strong> (modern\/ancient\/cartoon in single batch), abstract concept understanding<\/strong> (generates “quiet technological sunset alarm clock”), but artistic design slightly weaker<\/strong> than Nano Banana Pro and online search unstable<\/strong> (failed to identify specific Spring Festival Gala robots). Upgrade Focus<\/strong>: Multi-step logic, spatial understanding, specific domain knowledge enhancement; clearer details, delicate textures, balanced lighting; new editing function with element selection. The Reality<\/strong>: Users perceive “only 0.09 progress increment”\u2014essentially Seedream 4.5 with online search added\u2014with small improvements vs. version 4.5<\/strong>, but better layout\/architecture on tasks like cartoon recipe generation.<\/p>\n

Part I: The Launch and Availability<\/h2>\n

Platform Rollout<\/h3>\n

Primary Platforms<\/strong>:<\/p>\n

    \n
  • Jianying<\/strong>: ByteDance's Chinese video editing app<\/li>\n
  • CapCut<\/strong>: International version of Jianying<\/li>\n
  • Xiaoyunque<\/strong>: ByteDance's AI creation platform<\/li>\n
  • Zimeng AI<\/strong>: Gray-scale testing phase<\/li>\n<\/ul>\n

    Access Terms<\/strong>:<\/p>\n

      \n
    • Free Trial<\/strong>: 20 uses for all users<\/li>\n
    • Duration<\/strong>: Limited-time free access (specific end date TBA)<\/li>\n
    • Geographic Expansion<\/strong>: US launch coming later<\/li>\n<\/ul>\n

      Timeline<\/strong>: Launched February 10, 2026 (just two months after Seedream 4.5's December 4, 2025 release)<\/p>\n

      Context: Seedance 2.0 Still Popular<\/h3>\n

      Market Timing<\/strong>: “Popularity of Seedance 2.0 hasn't subsided yet”<\/p>\n

      ByteDance AI Momentum<\/strong>: Rapid successive releases across video and image generation<\/p>\n

      Strategic Pattern<\/strong>: Quick iterations on multiple AI fronts simultaneously<\/p>\n

      Part II: Core Upgrade Features<\/h2>\n

      1. Resolution Enhancement: 2K and 4K Output<\/h3>\n

      2K Resolution<\/strong>:<\/p>\n

        \n
      • Direct output from image generation<\/li>\n
      • Native generation quality<\/li>\n
      • Standard for most use cases<\/li>\n<\/ul>\n

        4K Resolution<\/strong>:<\/p>\n

          \n
        • Achieved through AI enhancement<\/li>\n
        • Post-processing upscaling<\/li>\n
        • Higher detail preservation<\/li>\n
        • Premium quality option<\/li>\n<\/ul>\n

          Practical Benefit<\/strong>: Professional-grade outputs suitable for print and high-resolution displays<\/p>\n

          2. Retrieval-Based Image Generation (First Time)<\/h3>\n

          The Innovation<\/strong>: “Supports image generation through retrieval for the first time”<\/p>\n

          How It Works<\/strong>: Model searches online knowledge\/references during generation<\/p>\n

          Intended Use Cases<\/strong>:<\/p>\n

            \n
          • Current events imagery<\/li>\n
          • Specific cultural references<\/li>\n
          • Recent trends and topics<\/li>\n
          • Knowledge-driven content<\/li>\n<\/ul>\n

            Actual Performance<\/strong>: “Still unstable” according to Zhidx testing<\/p>\n

            Example Failure<\/strong>: Couldn't identify which robots officially announced 2026 Spring Festival Gala participation\u2014generated generic robot gala poster instead<\/p>\n

            3. Enhanced Prompt Understanding<\/h3>\n

            Abstract Concept Processing<\/strong>:<\/p>\n

              \n
            • Understands “quiet and technological sense”<\/li>\n
            • Handles compound descriptors (e.g., “sunset glow atmosphere”)<\/li>\n
            • Interprets aesthetic qualities beyond literal objects<\/li>\n<\/ul>\n

              Test Example<\/strong>: “Generate alarm clock with quiet and technological sense and sunset glow atmosphere”<\/p>\n

                \n
              • Result<\/strong>: Successfully combined tech design with sunset background<\/li>\n
              • Significance<\/strong>: Moving beyond literal object generation to aesthetic interpretation<\/li>\n<\/ul>\n

                Accuracy Improvements<\/strong>: “Enhanced accuracy of understanding prompt words”<\/p>\n

                Chinese Language<\/strong>: Improved Chinese capability noted by users, though “still not as good as Nano Banana Pro”<\/p>\n

                4. Detailed Texture Generation<\/h3>\n

                Visual Quality<\/strong>:<\/p>\n

                  \n
                • “More detailed and delicate textures”<\/li>\n
                • Clearer details<\/li>\n
                • Balanced lighting<\/li>\n
                • Photo-realistic quality on appropriate prompts<\/li>\n<\/ul>\n

                  Test Example<\/strong>: Cinematic portrait with freckles, curly hair, wildflowers, golden hour backlighting<\/p>\n

                    \n
                  • Result<\/strong>: Excellent backlight effect, hair halo, skin luster, soft-focused foreground flowers<\/li>\n
                  • Impression<\/strong>: Natural atmosphere with professional photography aesthetics<\/li>\n<\/ul>\n

                    5. Precise Image Adjustment<\/h3>\n

                    New Editing Function<\/strong>: Brush-based element selection<\/p>\n

                    Capabilities<\/strong>:<\/p>\n

                      \n
                    • Select specific elements<\/li>\n
                    • Adjust corresponding components<\/li>\n
                    • Precise control over modifications<\/li>\n
                    • User-directed refinement<\/li>\n<\/ul>\n

                      Workflow<\/strong>: Generate \u2192 Select with brush \u2192 Adjust chosen elements<\/p>\n

                      Benefit<\/strong>: Iterative refinement without complete regeneration<\/p>\n

                      6. Enhanced Stylization Effects<\/h3>\n

                      Image-to-Image Function<\/strong>: Improved style transfer<\/p>\n

                      Quality Improvements<\/strong>:<\/p>\n

                        \n
                      • Clearer details<\/li>\n
                      • Delicate textures<\/li>\n
                      • Balanced lighting<\/li>\n
                      • Enhanced visual coherence<\/li>\n<\/ul>\n

                        Test Example<\/strong>: Jack from “The Shining” converted to New Year greeting<\/p>\n

                          \n
                        • Result<\/strong>: Face matched reference image, successfully added lantern and couplets<\/li>\n
                        • Quality<\/strong>: Preserved character identity while transforming context<\/li>\n<\/ul>\n

                          Part III: Competitive Comparison\u2014Nano Banana Pro<\/h2>\n

                          CapCut's Official Claim<\/h3>\n

                          Quote<\/strong>: “Comparable to Nano Banana Pro and is cheaper”<\/p>\n

                          Pricing Advantage<\/strong>: Unspecified cost difference but explicitly positioned as lower cost<\/p>\n

                          Free Access<\/strong>: 20 uses versus Nano's pricing model<\/p>\n

                          Beer Infographic Test (Community Comparison)<\/h3>\n

                          Task<\/strong>: “Generate high-quality infographic explaining process of making beer in Trappist monastery, with rich illustrations”<\/p>\n

                          Participants<\/strong>: Nano Banana Pro, ChatGPT, Seedream 5.0, Grok Imagine Image<\/p>\n

                          Seedream 5.0 Strengths<\/strong>:<\/p>\n

                            \n
                          • Most detailed step explanations<\/strong><\/li>\n
                          • Detailed text descriptions for each step<\/li>\n
                          • Comprehensive process coverage<\/li>\n
                          • Knowledge-driven content handling<\/li>\n<\/ul>\n

                            Seedream 5.0 Weakness<\/strong>:<\/p>\n

                              \n
                            • “Artistic design slightly weaker than Nano Banana Pro”<\/li>\n
                            • Less visually striking composition<\/li>\n
                            • More functional than beautiful<\/li>\n<\/ul>\n

                              Community Verdict<\/strong>: “Intelligence rather than aesthetics” priority validated<\/p>\n

                              Left-Hand Writing + Clock Test<\/h3>\n

                              Difficult Prompt<\/strong>: “Generate person writing with left hand, with analog clock showing 5:25 in background”<\/p>\n

                              Nano Banana Pro Result<\/strong>:<\/p>\n

                                \n
                              • Person holding pen with left hand \u2713<\/li>\n
                              • Clock showing approximately 5:30 (blurry but close) \u2713<\/li>\n
                              • Better accuracy overall<\/li>\n<\/ul>\n

                                Seedream 5.0 Result<\/strong>:<\/p>\n

                                  \n
                                • Either wrong hand holding pen, OR<\/li>\n
                                • Incorrect time on clock<\/li>\n
                                • Failed to nail both elements simultaneously<\/li>\n<\/ul>\n

                                  Seedream 5.0 Advantage<\/strong>: Generated more diverse styles in single batch (modern\/ancient\/cartoon)<\/p>\n

                                  Takeaway<\/strong>: Nano maintains edge on precise multi-element accuracy<\/p>\n

                                  User Feedback Summary<\/h3>\n

                                  Intelligence Level<\/strong>: Improved but “still not as good as Nano Banana Pro”<\/p>\n

                                  Chinese Ability<\/strong>: Better than Seedream 4.5, trails Nano<\/p>\n

                                  Overall Positioning<\/strong>: Competitive alternative with cost advantage, slightly behind on aesthetics<\/p>\n

                                  Part IV: Real-World Testing Results<\/h2>\n

                                  Test 1: Ancient Poetry Illustration<\/h3>\n

                                  Prompt<\/strong>: “Generate ancient poem illustration for ‘Quiet Night Thoughts'”<\/p>\n

                                  Result<\/strong>:<\/p>\n

                                    \n
                                  • Key element captured: Character “raising head to look at bright moon” \u2713<\/li>\n
                                  • Shadow under moonlight included \u2713<\/li>\n
                                  • Missing: “In front of bed” element from original poem \u2717<\/li>\n<\/ul>\n

                                    Interpretation<\/strong>: Partial understanding with some omissions<\/p>\n

                                    Test 2: Spring Festival Gala Robots (Online Search Test)<\/h3>\n

                                    Prompt<\/strong>: “Recently, many robots going to 2026 Spring Festival Gala. Generate poster of robots that have officially announced participation.”<\/p>\n

                                    Expected<\/strong>: Specific robots that announced participation<\/p>\n

                                    Actual Result<\/strong>: Generic robots on Spring Festival Gala poster<\/p>\n

                                    Visual Quality<\/strong>: Accurate elements, no text garbled, stable performance \u2713<\/p>\n

                                    Search Understanding<\/strong>: Failed to identify “officially announced” robots \u2717<\/p>\n

                                    Diagnosis<\/strong>: Online search capability “still unstable”<\/p>\n

                                    Test 3: Abstract Concept (Alarm Clock)<\/h3>\n

                                    Prompt<\/strong>: “Generate alarm clock with quiet and technological sense and sunset glow atmosphere”<\/p>\n

                                    Result<\/strong>: Successfully combined tech alarm clock design with sunset background<\/p>\n

                                    Significance<\/strong>: Handles abstract aesthetic combinations effectively<\/p>\n

                                    Achievement<\/strong>: Understanding beyond literal object description<\/p>\n

                                    Test 4: Detailed Portrait<\/h3>\n

                                    Prompt<\/strong>: Cinematic close-up of young woman with freckles, dark curly hair, wildflowers, vines, flower crown, golden hour, warm backlight, halo effect, shallow depth of field, soft-focused foreground, photo-realistic<\/p>\n

                                    Result Excellence<\/strong>:<\/p>\n

                                      \n
                                    • Backlight effect “very good”<\/li>\n
                                    • Hair edge halo accurate<\/li>\n
                                    • Skin luster realistic<\/li>\n
                                    • Soft-focused foreground flowers natural<\/li>\n
                                    • Overall natural atmosphere achieved<\/li>\n<\/ul>\n

                                      Quality<\/strong>: Professional photography aesthetics<\/p>\n

                                      Test 5: Oscar Red Carpet<\/h3>\n

                                      Prompt<\/strong>: “Red-carpet style of latest Oscar winners”<\/p>\n

                                      Result Completeness<\/strong>:<\/p>\n

                                        \n
                                      • Red carpet \u2713<\/li>\n
                                      • Backdrop board \u2713<\/li>\n
                                      • Photographers \u2713<\/li>\n
                                      • Multiple Oscar statuettes on backdrop \u2713<\/li>\n<\/ul>\n

                                        Quality<\/strong>: Comprehensive scene generation with contextual elements<\/p>\n

                                        Test 6: Image-to-Image Reference<\/h3>\n

                                        Reference<\/strong>: Jack from “The Shining” image<\/p>\n

                                        Prompt<\/strong>: “Generate New Year greeting picture. Protagonist wearing New-Year-themed clothes, holding lantern and couplets”<\/p>\n

                                        Result<\/strong>:<\/p>\n

                                          \n
                                        • Face matched reference image \u2713<\/li>\n
                                        • Lantern element present \u2713<\/li>\n
                                        • Couplets element present \u2713<\/li>\n<\/ul>\n

                                          Achievement<\/strong>: Character preservation with context transformation<\/p>\n

                                          Part V: Seedream 5.0 vs. Seedream 4.5<\/h2>\n

                                          Cartoon Recipe Comparison<\/h3>\n

                                          Prompt<\/strong>: “Help me generate cartoon-style recipe for scrambled eggs with tomatoes”<\/p>\n

                                          Seedream 4.5 Output<\/strong>: Functional but basic layout<\/p>\n

                                          Seedream 5.0 Output<\/strong>:<\/p>\n

                                            \n
                                          • “Overall layout more beautiful”<\/li>\n
                                          • “Architectural design more beautiful”<\/li>\n
                                          • Enhanced visual appeal<\/li>\n<\/ul>\n

                                            \u062e\u0627\u062a\u0645\u0629<\/strong>: Noticeable aesthetic improvement on structured content<\/p>\n

                                            User Perception: “Only 0.09 Progress”<\/h3>\n

                                            Community Reaction<\/strong>: “Progress of new model only 0.09”<\/p>\n

                                            Translation<\/strong>: Very incremental upgrade<\/p>\n

                                            Characterization<\/strong>: “Equivalent to Seedream 4.5 with online search added”<\/p>\n

                                            Reality Check<\/strong>: Small improvements don't feel transformative<\/p>\n

                                            Expectation Gap<\/strong>: Users hoping for larger leap than delivered<\/p>\n

                                            Part VI: Intelligence Over Aesthetics Strategy<\/h2>\n

                                            Official Positioning<\/h3>\n

                                            CapCut Statement<\/strong>: Three major capabilities enhanced<\/p>\n

                                            Priority 1<\/strong>: Intelligence level and accuracy<\/p>\n

                                            Priority 2<\/strong>: Faster and more expressive creation<\/p>\n

                                            Priority 3<\/strong>: Online knowledge integration<\/p>\n

                                            Strategic Choice<\/strong>: Practical utility over visual beauty<\/p>\n

                                            Enhanced Intelligence Features<\/h3>\n

                                            Multi-Step Logic<\/strong>:<\/p>\n

                                              \n
                                            • Better sequential reasoning<\/li>\n
                                            • Process understanding<\/li>\n
                                            • Step-by-step generation<\/li>\n<\/ul>\n

                                              Spatial Understanding<\/strong>:<\/p>\n

                                                \n
                                              • Layout composition<\/li>\n
                                              • Element positioning<\/li>\n
                                              • Depth and perspective<\/li>\n<\/ul>\n

                                                Domain Knowledge<\/strong>:<\/p>\n

                                                  \n
                                                • Specific subject expertise<\/li>\n
                                                • Contextual accuracy<\/li>\n
                                                • Knowledge-driven generation<\/li>\n<\/ul>\n

                                                  Text Rendering<\/strong>: “Better text rendering effects”<\/p>\n

                                                  What This Means<\/h3>\n

                                                  Target Users<\/strong>: Professionals needing accurate, knowledge-based imagery<\/p>\n

                                                  Use Cases<\/strong>:<\/p>\n

                                                    \n
                                                  • Educational illustrations<\/li>\n
                                                  • Infographics<\/li>\n
                                                  • Instructional content<\/li>\n
                                                  • Knowledge visualization<\/li>\n<\/ul>\n

                                                    Trade-Off<\/strong>: Some artistic flair sacrificed for precision<\/p>\n

                                                    Part VII: Persistent Technical Bottlenecks<\/h2>\n

                                                    Abstract Semantic Understanding<\/h3>\n

                                                    Challenge<\/strong>: Complex conceptual combinations<\/p>\n

                                                    Current State<\/strong>: Improved but not perfect<\/p>\n

                                                    Example<\/strong>: Abstract concepts like “quiet technological sense” now work, but subtle nuances still miss<\/p>\n

                                                    Text Rendering<\/h3>\n

                                                    Status<\/strong>: “Better” but not flawless<\/p>\n

                                                    Limitations<\/strong>: Long text generation stable (“no garbled code”) but placement\/integration could improve<\/p>\n

                                                    Progress<\/strong>: Incremental gains visible<\/p>\n

                                                    Complex Logical Composition<\/h3>\n

                                                    Multi-Element Tasks<\/strong>: Struggle with simultaneous constraints<\/p>\n

                                                    Example<\/strong>: Left-hand writing + 5:25 clock test failed<\/p>\n

                                                    Pattern<\/strong>: Can handle complex OR precise, but both together challenging<\/p>\n

                                                    User Patience<\/strong>: “Perception of small-version iterations weakening”<\/p>\n

                                                    Part VIII: Market Context and Strategy<\/h2>\n

                                                    Industry Iteration Path<\/h3>\n

                                                    Current Trend<\/strong>: “Leading image models upgrading towards practical capabilities”<\/p>\n

                                                    Focus Areas<\/strong>:<\/p>\n

                                                      \n
                                                    • Improving understanding ability<\/li>\n
                                                    • Controllable generation<\/li>\n
                                                    • Editing accuracy<\/li>\n
                                                    • Knowledge integration<\/li>\n<\/ul>\n

                                                      Seedream 5.0 Alignment<\/strong>:<\/p>\n

                                                        \n
                                                      • Retrieval enhancement \u2713<\/li>\n
                                                      • Detail texture \u2713<\/li>\n
                                                      • Precise adjustment \u2713<\/li>\n
                                                      • 4K enhancement \u2713<\/li>\n<\/ul>\n

                                                        User Need Alignment<\/h3>\n

                                                        Observation<\/strong>: “Generated results don't have subversive effect”<\/p>\n

                                                        Interpretation<\/strong>: “May be closer to actual needs of users”<\/p>\n

                                                        Philosophy<\/strong>: Incremental practical improvements over flashy but unreliable features<\/p>\n

                                                        Risk<\/strong>: Small iterations may not excite users expecting breakthroughs<\/p>\n

                                                        Competitive Landscape<\/h3>\n

                                                        Nano Banana Pro<\/strong>: Aesthetic leader, higher cost<\/p>\n

                                                        ChatGPT\/DALL-E<\/strong>: General purpose, different positioning<\/p>\n

                                                        Grok Imagine Image<\/strong>: X\/Twitter integrated, different ecosystem<\/p>\n

                                                        Seedream 5.0 Niche<\/strong>: Practical intelligence with cost advantage<\/p>\n

                                                        Conclusion: Practical Evolution, Not Revolution<\/h2>\n

                                                        What Seedream 5.0 Achieves<\/h3>\n

                                                        Resolution<\/strong>: 2K direct, 4K enhanced outputs<\/p>\n

                                                        Understanding<\/strong>: Abstract concepts, better prompt interpretation<\/p>\n

                                                        Knowledge<\/strong>: Retrieval-based generation (though unstable)<\/p>\n

                                                        Editing<\/strong>: Precise brush-based adjustment tools<\/p>\n

                                                        Intelligence<\/strong>: Multi-step logic, spatial understanding, domain knowledge<\/p>\n

                                                        Accessibility<\/strong>: 20 free uses, broader platform availability<\/p>\n

                                                        What It Doesn't Achieve<\/h3>\n

                                                        Artistic Leadership<\/strong>: Trails Nano Banana Pro on design<\/p>\n

                                                        Search Reliability<\/strong>: Online retrieval still unstable<\/p>\n

                                                        Complex Precision<\/strong>: Fails multi-constraint tasks<\/p>\n

                                                        User Excitement<\/strong>: “Only 0.09 progress” perception<\/p>\n

                                                        Transformation<\/strong>: Incremental not revolutionary<\/p>\n

                                                        Strategic Takeaway<\/h3>\n

                                                        ByteDance Bet<\/strong>: Intelligence-first, practical upgrades<\/p>\n

                                                        User Tension<\/strong>: Want breakthroughs, get refinements<\/p>\n

                                                        Market Position<\/strong>: Cost-effective Nano alternative<\/p>\n

                                                        Future Path<\/strong>: Continued iteration towards reliable utility<\/p>\n

                                                        \n

                                                        Try Seedream 5.0<\/strong>:<\/p>\n

                                                          \n
                                                        • CapCut<\/strong>: International users<\/li>\n
                                                        • Jianying<\/strong>: Chinese users<\/li>\n
                                                        • Xiaoyunque<\/strong>: AI creation platform<\/li>\n
                                                        • \u0645\u062c\u0627\u0646\u0627\u064b<\/strong>: 20 uses available<\/li>\n<\/ul>\n
                                                          \n

                                                          The Bottom Line<\/strong>: Seedream 5.0 launches with 2K\/4K output, retrieval enhancement, and intelligence-over-aesthetics strategy\u2014comparable to Nano Banana Pro at lower cost with 20 free uses, excelling at detailed text descriptions (beer infographic test), abstract concept understanding (“quiet technological alarm clock”), and diverse style generation, but trailing on artistic design, suffering unstable online search (Spring Festival robot fail), and facing user perception of “only 0.09 progress” as essentially “Seedream 4.5 + online search.” ByteDance chooses practical capability iteration (multi-step logic, spatial understanding, domain knowledge, precise editing) over flashy transformation, aligning with industry trend toward controllable generation and editing accuracy, though small-version iterations risk weakening user engagement. The technical bottlenecks persist\u2014abstract semantics, text rendering, complex logical composition\u2014but the model positions as cost-effective practical alternative in competitive AI image generation market.<\/p>\n

                                                          The strategy: reliable utility over unreliable beauty. The risk: user excitement fading with incremental gains.<\/strong><\/p>","protected":false},"excerpt":{"rendered":"

                                                          Complete Guide to Seedream 5.0’s Intelligence-First Upgrade\u2014Free 20-Use Trial, Enhanced Understanding, Online Search, Precise Editing, and Complex Knowledge Task Handling […]<\/p>","protected":false},"author":11214,"featured_media":137628,"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-137611","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\/137611","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":3,"href":"https:\/\/legacy.vertu.com\/ar\/wp-json\/wp\/v2\/aitools\/137611\/revisions"}],"predecessor-version":[{"id":137630,"href":"https:\/\/legacy.vertu.com\/ar\/wp-json\/wp\/v2\/aitools\/137611\/revisions\/137630"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/legacy.vertu.com\/ar\/wp-json\/wp\/v2\/media\/137628"}],"wp:attachment":[{"href":"https:\/\/legacy.vertu.com\/ar\/wp-json\/wp\/v2\/media?parent=137611"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/legacy.vertu.com\/ar\/wp-json\/wp\/v2\/categories?post=137611"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/legacy.vertu.com\/ar\/wp-json\/wp\/v2\/tags?post=137611"}],"curies":[{"name":"\u0648\u0648\u0631\u062f\u0628\u0631\u064a\u0633","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}