{"id":91362,"date":"2026-04-01T10:31:18","date_gmt":"2026-04-01T07:01:18","guid":{"rendered":"https:\/\/pixflow.net\/blog\/?p=91362"},"modified":"2026-06-30T15:54:03","modified_gmt":"2026-06-30T12:24:03","slug":"analyze-movie-color-palette","status":"publish","type":"post","link":"https:\/\/pixflow.net\/blog\/analyze-movie-color-palette\/","title":{"rendered":"How to Analyze a Movie Color Palette Step by Step"},"content":{"rendered":"<div class=\"wpb-content-wrapper\"><p>[vc_row css=&#8221;.vc_custom_1734342908250{margin-top: 125px !important;}&#8221;][vc_column][vc_custom_heading css=&#8221;.vc_custom_1774854334120{margin-bottom: 25px !important;}&#8221;]You know that feeling when you rewatch a favorite film and suddenly notice something you missed a dozen times before? That&#8217;s what happens when you start paying attention to color. Every frame is packed with deliberate color choices, and learning how to analyze them transforms the way you experience cinema.<\/p>\n<p>If you&#8217;re already familiar with the basics of <a href=\"https:\/\/pixflow.net\/blog\/the-ultimate-guide-to-film-color-theory-and-palettes\/\" target=\"_blank\" rel=\"noopener\">film color theory and palettes<\/a>, this guide is your next step: a hands-on, practical walkthrough for breaking down the color palette of any movie or scene. Whether you&#8217;re a filmmaker, a film student, or just a curious viewer who wants to understand why Wes Anderson&#8217;s frames look like candy, we&#8217;re covering everything from visual intuition to computational analysis. And if you ever want to apply the palettes you discover to your own projects, <a href=\"https:\/\/pixflow.net\/color-luts\/\" target=\"_blank\" rel=\"noopener\">Pixflow&#8217;s Color LUTs library<\/a> makes it surprisingly easy to get that cinematic look.[\/vc_custom_heading][\/vc_column][\/vc_row][vc_row css=&#8221;.vc_custom_1766995823024{margin-top: 50px !important;}&#8221;][vc_column][px_product_grid_remote px_product_grid_remote_ids=&#8221;115571,113292,113071,112891&#8243;][\/vc_column][\/vc_row][vc_row css=&#8221;.vc_custom_1734342908250{margin-top: 125px !important;}&#8221;][vc_column][vc_custom_heading css=&#8221;&#8221; el_id=&#8221;Why Analyzing a Film Color Palette Matters&#8221;]<\/p>\n<h2>Why Analyzing a Film&#8217;s Color Palette Matters<\/h2>\n<p>[\/vc_custom_heading][vc_custom_heading css=&#8221;.vc_custom_1774854396391{margin-bottom: 25px !important;}&#8221;]Understanding color in film goes way beyond appreciating &#8220;pretty visuals.&#8221; When you analyze a movie&#8217;s color palette, you&#8217;re uncovering the filmmaker&#8217;s visual language. Colors guide your emotions, signal character traits, and even foreshadow plot twists before a single line of dialogue does the work.<\/p>\n<p>Think of it this way: building a color palette (choosing what colors to use in your own film) is one skill. Analyzing an existing palette (understanding why those colors were chosen) is a completely different one. Both are valuable, but analysis sharpens your creative eye in a way that nothing else can. It&#8217;s the difference between knowing the notes of a song and understanding why the composer arranged them that way.<\/p>\n<p>Whether you&#8217;re writing a film essay, planning your next short, or just trying to impress someone at a movie night (hey, no judgment), color analysis gives you a toolkit for reading cinema on a deeper level.[\/vc_custom_heading][\/vc_column][\/vc_row][vc_row css=&#8221;.vc_custom_1734342908250{margin-top: 125px !important;}&#8221;][vc_column][vc_custom_heading css=&#8221;&#8221; el_id=&#8221;The Building Blocks &#8211; Hue Saturation and Brightness&#8221;]<\/p>\n<h2>The Building Blocks: Hue, Saturation, and Brightness<\/h2>\n<p>[\/vc_custom_heading][vc_custom_heading css=&#8221;&#8221;]Before diving into the step-by-step process, you need three core concepts in your toolkit. Every color you see on screen can be described through these properties:<\/p>\n<p><strong>Hue<\/strong> is the color itself: red, blue, green, yellow. It&#8217;s the most obvious attribute and usually the first thing you notice when looking at a scene.<\/p>\n<p><strong>Saturation<\/strong> refers to the intensity or purity of that color. A highly saturated red is vivid and punchy. A desaturated red looks muted, washed out, almost gray. Filmmakers adjust saturation constantly to control mood: vibrant palettes feel energetic, while desaturated ones create a sense of bleakness or realism.<\/p>\n<p><strong>Brightness<\/strong> (also called value or luminance) is how light or dark a color appears. A bright blue feels optimistic. A dark blue feels heavy or mysterious. Together, these three properties give you a precise vocabulary for describing what you see on screen, and that vocabulary is essential for any serious color analysis.<\/p>\n<p>As <a href=\"https:\/\/www.studiobinder.com\/blog\/how-to-use-color-in-film-50-examples-of-movie-color-palettes\/\" target=\"_blank\" rel=\"noopener\">StudioBinder<\/a> explains, &#8220;A well-designed movie color palette evokes mood and sets the tone for the film. When choosing a particular color, remember that there are three main components: hue, saturation, and brightness.&#8221; Getting comfortable with these three components is the first real step toward reading color like a filmmaker.[\/vc_custom_heading][px_single_image_box px_image_box_position=&#8221;px_image_box_position_center&#8221; px_image_caption=&#8221;true&#8221; px_image_width_option=&#8221;true&#8221; px_image_url=&#8221;91380&#8243; px_image_url_webp=&#8221;91380&#8243; px_image_caption_text=&#8221;Source:&#8221; px_image_caption_copyright_title=&#8221;Freepik&#8221; px_image_caption_copyright_title_link=&#8221;https:\/\/www.freepik.com\/free-photo\/medium-shot-woman-holding-juice_35022480.htm&#8221;][\/vc_column][\/vc_row][vc_row css=&#8221;.vc_custom_1734342908250{margin-top: 125px !important;}&#8221;][vc_column][vc_custom_heading css=&#8221;&#8221; el_id=&#8221;Step 1 &#8211; Identify the Dominant Colors&#8221;]<\/p>\n<h2>Step 1: Identify the Dominant Colors<\/h2>\n<p>[\/vc_custom_heading][vc_custom_heading css=&#8221;.vc_custom_1774854612288{margin-bottom: 25px !important;}&#8221;]Start simple. Pause the film on a scene that catches your eye and ask yourself: what are the two or three colors that dominate this frame?<\/p>\n<p>Here&#8217;s a practical trick that sounds silly but genuinely works: squint at the screen. When you squint, details blur and your brain naturally groups the image into its primary color blocks. You&#8217;ll quickly spot whether a scene leans warm (reds, oranges, yellows) or cool (blues, greens, purples).<\/p>\n<p>For <strong>individual scenes<\/strong>, take a screenshot and drop it into a tool like Adobe Color or Coolors. These tools extract dominant colors automatically and display them as a swatch palette. It takes about ten seconds and gives you a clean visual reference.<\/p>\n<p>For <strong>full films<\/strong>, the process is a bit different. You&#8217;ll want to sample frames across the entire runtime to see how the palette evolves over time. We&#8217;ll get into the technical side of that in the computational analysis section below, but even manually grabbing screenshots at the beginning, middle, and end of a film can reveal a lot.<\/p>\n<p><a href=\"https:\/\/www.matrix.edu.au\/film-techniques-colour-palette\/\" target=\"_blank\" rel=\"noopener\">Matrix Education<\/a> offers a helpful framework for this stage: &#8220;What colors are in the scene? Hue? Saturation? Brightness? Are the colors harmonious or discordant? What does the color palette represent?&#8221; These questions give you a solid analytical checklist every time you sit down with a new scene.<\/p>\n<p>A good starting question: are these colors warm, cool, or a mix? Is the palette mostly one color family, or is there a clear contrast between two opposing tones? These observations set the foundation for everything that follows.[\/vc_custom_heading][\/vc_column][\/vc_row][vc_row css=&#8221;.vc_custom_1734342908250{margin-top: 125px !important;}&#8221;][vc_column][vc_custom_heading css=&#8221;&#8221; el_id=&#8221;Step 2 &#8211; Determine the Color Scheme Type&#8221;]<\/p>\n<h2>Step 2: Determine the Color Scheme Type<\/h2>\n<p>[\/vc_custom_heading][vc_custom_heading css=&#8221;.vc_custom_1774855520108{margin-bottom: 25px !important;}&#8221;]Once you&#8217;ve identified the dominant colors, the next question is, how do they relate to each other? This is where <a href=\"https:\/\/pixflow.net\/blog\/the-ultimate-guide-to-film-color-theory-and-palettes\/\" target=\"_blank\" rel=\"noopener\">color theory<\/a> becomes your best friend.<\/p>\n<p>Here are the main color scheme types you&#8217;ll encounter in films:<\/p>\n<h3>Monochromatic<\/h3>\n<p>A single base hue extended through tints, shades, and tones. Think of the muted greens of The Matrix or the sepia warmth of a period drama. <a href=\"https:\/\/pixflow.net\/blog\/how-monochromatic-color-schemes-create-atmosphere-in-films\/\" target=\"_blank\" rel=\"noopener\">Monochromatic color schemes<\/a> create powerful unity and are often used to lock audiences into a specific emotional state.<\/p>\n<h3>Complementary<\/h3>\n<p>Two colors opposite each other on the color wheel. The most famous example in modern cinema is the teal-and-orange combo you see in countless blockbusters. This pairing creates strong visual contrast and makes subjects (especially skin tones) pop against the background.<\/p>\n<h3>Analogous<\/h3>\n<p>Colors that sit next to each other on the wheel. These palettes feel naturally harmonious and are often used to evoke calm or cohesion. Wes Anderson loves analogous palettes with pastels to build his signature storybook worlds.<\/p>\n<h3>Triadic<\/h3>\n<p>Three colors evenly spaced around the wheel. Less common in live-action film, but when done right (like in certain animated features or superhero films), the result is vibrant and dynamic.<\/p>\n<h3>Discordant<\/h3>\n<p>Colors that clash intentionally. This is a deliberate disruption, a visual signal that something is wrong, unexpected, or about to change. A splash of red in a cold blue scene? That&#8217;s discordant, and it&#8217;s almost certainly telling you something important.<\/p>\n<p>Identifying the scheme type gives you a framework for understanding the filmmaker&#8217;s visual approach. It also helps you articulate your analysis clearly, which is essential if you&#8217;re writing film essays, creating mood boards, or studying cinematography.[\/vc_custom_heading][px_single_image_box px_image_box_position=&#8221;px_image_box_position_center&#8221; px_image_caption=&#8221;true&#8221; px_image_width_option=&#8221;true&#8221; px_image_url=&#8221;91382&#8243; px_image_url_webp=&#8221;91382&#8243; px_image_caption_text=&#8221;Source:&#8221; px_image_caption_copyright_title=&#8221;Freepik&#8221; px_image_caption_copyright_title_link=&#8221;https:\/\/www.freepik.com\/free-photo\/trendy-colour-swatches-collage_34089084.htm&#8221;][\/vc_column][\/vc_row][vc_row css=&#8221;.vc_custom_1734342908250{margin-top: 125px !important;}&#8221;][vc_column][vc_custom_heading css=&#8221;&#8221; el_id=&#8221;Step 3 &#8211; Decode the Color Symbolism&#8221;]<\/p>\n<h2>Step 3: Decode the Color Symbolism<\/h2>\n<p>[\/vc_custom_heading][vc_custom_heading css=&#8221;.vc_custom_1774856371661{margin-bottom: 25px !important;}&#8221;]Colors carry meaning, and filmmakers know it. As <a href=\"https:\/\/nofilmschool.com\/color-psychology-in-film\" target=\"_blank\" rel=\"noopener\">No Film School<\/a> puts it, &#8220;Color psychology in film and TV is the strategic use of colors to evoke specific emotional and psychological responses from the audience. Filmmakers employ color choices to enhance storytelling, develop characters, and create immersive atmospheres.&#8221;<\/p>\n<p>Red signals danger, passion, or power. Blue suggests isolation, calm, or sadness. Green often hints at envy, sickness, or the supernatural. But here&#8217;s the important part: symbolism isn&#8217;t universal. Context matters enormously.<\/p>\n<p>Red in Schindler&#8217;s List (the girl&#8217;s coat) symbolizes innocence and hope amid devastation. Red in Kubrick&#8217;s The Shining represents violence and madness. Same color, completely different meaning.<\/p>\n<p>When analyzing symbolism, consider these angles:<\/p>\n<ul>\n<li><strong>Character associations<\/strong>: Does a character consistently appear with a certain color? In Her, Theodore is almost always surrounded by warm reds and pinks, mirroring his emotional vulnerability and romantic longing.<\/li>\n<li><strong>Cultural context<\/strong>: Western and Eastern cinema may use colors very differently. White symbolizes purity in many Western films, while in several East Asian traditions, it&#8217;s the color of mourning.<\/li>\n<li><strong>Emotional cues<\/strong>: What do the colors make you feel? Trust that gut reaction first, then dig into why the filmmaker might have chosen that response.<\/li>\n<\/ul>\n<p>Developing an eye for color symbolism is one of those skills that, once you have it, you genuinely can&#8217;t unsee. Every rewatch becomes richer.[\/vc_custom_heading][\/vc_column][\/vc_row][vc_row css=&#8221;.vc_custom_1734342908250{margin-top: 125px !important;}&#8221;][vc_column][vc_custom_heading css=&#8221;&#8221; el_id=&#8221;Step 4 &#8211; Examine How Color Supports the Narrative&#8221;]<\/p>\n<h2>Step 4: Examine How Color Supports the Narrative<\/h2>\n<p>[\/vc_custom_heading][vc_custom_heading css=&#8221;&#8221;]Now we get into the real &#8220;why&#8221; behind the palette. Filmmakers typically use color in three main ways to serve the story:<\/p>\n<h3>Associative Color<\/h3>\n<p>A specific color is tied to a character, theme, or idea throughout the entire film. In Amelie, warm yellows and greens follow the protagonist everywhere, creating a visual signature that&#8217;s instantly recognizable. When the palette shifts away from those tones, you know something significant has changed in her world.<\/p>\n<h3>Transitional Color<\/h3>\n<p>The palette evolves alongside the story. A film might start with muted, desaturated tones and gradually introduce warmth as the character&#8217;s situation improves (or the reverse as things fall apart). Breaking Bad is a masterclass in transitional color: Walter White&#8217;s wardrobe literally darkens as he descends into villainy.<\/p>\n<h3>Discordant Color<\/h3>\n<p>A sudden color disruption signals a turning point. Imagine a mostly blue and gray scene where a single object is bright red. Your eye goes right to it, and the filmmaker knows it. This technique forces attention and creates narrative emphasis without a single word of explanation.<\/p>\n<p>When you analyze how color supports the narrative, you&#8217;re connecting the visual layer to the story layer. Ask yourself: does the color palette reinforce what&#8217;s happening in the plot? Does it contrast with the action (maybe to create irony or tension)? This is where analysis moves from observation to genuine insight.<\/p>\n<p>If you&#8217;re inspired to experiment with similar color approaches in your own footage, exploring <a href=\"https:\/\/pixflow.net\/color-luts\/\" target=\"_blank\" rel=\"noopener\">cinematic LUTs<\/a> can help you achieve specific palette moods quickly in your color grading workflow.[\/vc_custom_heading][\/vc_column][\/vc_row][vc_row css=&#8221;.vc_custom_1734342908250{margin-top: 125px !important;}&#8221;][vc_column][vc_custom_heading css=&#8221;&#8221; el_id=&#8221;Step 5 &#8211; Analyze the Full Film Color Arc&#8221;]<\/p>\n<h2>Step 5: Analyze the Full Film&#8217;s Color Arc<\/h2>\n<p>[\/vc_custom_heading][vc_custom_heading css=&#8221;.vc_custom_1774856476995{margin-bottom: 25px !important;}&#8221;]Analyzing a single scene is great practice, but the real magic happens when you track the color palette across an entire film. Most great movies have a color arc that mirrors the story arc, and spotting it is one of the most satisfying things in film analysis.<\/p>\n<p>Start by sampling key moments: the opening shot, the inciting incident, the midpoint, the climax, and the resolution. Compare the dominant palettes at each point. Does the film get warmer over time? Cooler? More saturated? Does a new color appear in the third act that wasn&#8217;t there before?<\/p>\n<h3>Movie Barcodes<\/h3>\n<p>One of the most effective (and visually stunning) ways to see a full film&#8217;s color journey is through movie barcodes. The concept is beautifully simple: take one representative color from each frame (or every Nth frame) and compress it into a thin vertical strip. Line up all the strips chronologically, and you get a &#8220;barcode&#8221; that represents the entire film&#8217;s color progression at a glance.<\/p>\n<p>Movie barcodes are incredibly revealing. You can immediately see if a film has a consistent palette, where major shifts happen, and how the opening compares to the ending. Mad Max: Fury Road&#8217;s barcode is a wild ride of oranges and blues. The Grand Budapest Hotel shows clear palette shifts between its nested timelines. These visualizations make patterns visible that you might never catch through normal viewing.[\/vc_custom_heading][\/vc_column][\/vc_row][vc_row css=&#8221;.vc_custom_1734342908250{margin-top: 125px !important;}&#8221;][vc_column][vc_custom_heading css=&#8221;&#8221; el_id=&#8221;Going Deeper &#8211; Computational Color Analysis&#8221;]<\/p>\n<h2>Going Deeper: Computational Color Analysis<\/h2>\n<p>[\/vc_custom_heading][vc_custom_heading css=&#8221;&#8221;]This section is for the technically inclined. If you&#8217;re comfortable with code and want to take your analysis beyond the visual into hard data, computational tools open up a whole new dimension. (If programming isn&#8217;t your thing, feel free to skip ahead to the conclusion. The steps above give you everything you need for a thorough analysis.)<\/p>\n<h3>Python and KALMUS<\/h3>\n<p><a href=\"https:\/\/github.com\/KALMUS-Color-Toolkit\/KALMUS\" target=\"_blank\" rel=\"noopener\">KALMUS<\/a> is an open-source Python package built specifically for computational color analysis of films. It lets you extract color data from video files, generate movie barcodes, and compare palettes across different films with quantitative precision. It&#8217;s the go-to tool for academic and professional-level film color research.<\/p>\n<h3>Color Spaces: RGB, CIELAB, and LCH<\/h3>\n<p>While RGB is the default color space in digital media, it isn&#8217;t always ideal for perceptual analysis. As the <a href=\"https:\/\/cfa-with-r.netlify.app\/colour\" target=\"_blank\" rel=\"noopener\">Computational Film Analysis<\/a> project details, CIELAB (also called Lab color) is designed to approximate human vision, making it more reliable for measuring how &#8220;different&#8221; two colors actually look to a viewer. LCH (Lightness, Chroma, Hue) is a cylindrical representation of CIELAB that&#8217;s even more intuitive for color comparisons. When you&#8217;re doing serious computational work, converting from RGB to CIELAB or LCH gives you more meaningful distance metrics.<\/p>\n<h3>Frame Sampling<\/h3>\n<p>Analyzing every single frame of a two-hour feature film is computationally expensive and often unnecessary. Common approaches include sampling every Nth frame (e.g., every 24th frame gives you one sample per second) or extracting frames at fixed time intervals. The sampling rate depends on your goals: narrative analysis needs fewer samples, while precise color measurement benefits from denser sampling.<\/p>\n<h3>Dominant Color Extraction with K-Means Clustering<\/h3>\n<p>Once you have your sampled frames, K-means clustering is the standard technique for identifying dominant colors. Here&#8217;s a simplified Python example:<\/p>\n<pre><code class=\"language-python\">from sklearn.cluster import KMeans\r\nfrom PIL import Image\r\nimport numpy as np\r\n\r\n# Load a frame\r\nimg = Image.open(\"frame.jpg\")\r\npixels = np.array(img).reshape(-1, 3)\r\n\r\n# Find 5 dominant colors\r\nkmeans = KMeans(n_clusters=5, random_state=42)\r\nkmeans.fit(pixels)\r\ndominant_colors = kmeans.cluster_centers_.astype(int)\r\n\r\nprint(\"Dominant colors (RGB):\", dominant_colors)\r\n<\/code><\/pre>\n<p>This basic approach gives you the top N colors in any frame. Scale it across hundreds of sampled frames and you&#8217;ve got a quantitative color profile of the entire film. From there, you can visualize trends over time, compare films numerically, and even run statistical analyses on color distributions.<\/p>\n<h3>Building Movie Barcodes Programmatically<\/h3>\n<p>With your sampled frames and dominant color data, generating a movie barcode is straightforward. For each frame, take the single most dominant color (the largest K-means cluster) and render it as a vertical strip. Concatenate all strips left to right in chronological order, and you&#8217;ve built a barcode that compresses the entire film&#8217;s color story into one image.<\/p>\n<p>For those who prefer visual tools over code, DaVinci Resolve&#8217;s color scopes and Adobe Color&#8217;s extraction features offer solid alternatives without the programming overhead. And for quickly applying the palettes you discover to your own projects, <a href=\"https:\/\/pixflow.net\/color-luts\/\" target=\"_blank\" rel=\"noopener\">Pixflow&#8217;s Color LUTs<\/a> collection offers professionally crafted looks that capture iconic cinematic styles.[\/vc_custom_heading][\/vc_column][\/vc_row][vc_row css=&#8221;.vc_custom_1734342908250{margin-top: 125px !important;}&#8221;][vc_column][vc_custom_heading css=&#8221;&#8221; el_id=&#8221;Conclusion&#8221;]<\/p>\n<h2>Conclusion<\/h2>\n<p>[\/vc_custom_heading][vc_custom_heading css=&#8221;&#8221;]Analyzing a movie&#8217;s color palette is one of the most rewarding skills you can develop as a film enthusiast, student, or creative professional. It transforms passive viewing into active reading, revealing layers of intention that most audiences never notice.<\/p>\n<p>The process comes down to five core steps: identify the dominant colors, determine the scheme type, decode the symbolism, connect color to narrative, and zoom out to see the full film&#8217;s color arc. If you&#8217;re technically inclined, computational tools like KALMUS and Python clustering give you data-driven precision that takes the analysis even further.<\/p>\n<p>The more films you analyze, the sharper your eye becomes. And whether you&#8217;re writing essays, building mood boards, planning your next project, or refining your <a href=\"https:\/\/pixflow.net\/color-luts\/\" target=\"_blank\" rel=\"noopener\">color grading with professional LUTs<\/a>, this analytical foundation will serve you well.<\/p>\n<p>Now go rewatch your favorite film. You&#8217;ll be amazed at what you&#8217;ve been missing.[\/vc_custom_heading][\/vc_column][\/vc_row]<\/p>\n<\/div>","protected":false},"excerpt":{"rendered":"<p>[vc_row css=&#8221;.vc_custom_1734342908250{margin-top: 125px !important;}&#8221;][vc_column][vc_custom_heading css=&#8221;.vc_custom_1774854334120{margin-bottom: 25px !important;}&#8221;]You know that feeling when you rewatch a favorite film and suddenly notice something you missed a dozen times before? That&#8217;s what happens when you start paying attention to color. Every frame is packed with deliberate color choices, and learning how to analyze them transforms the way you experience [&hellip;]<\/p>\n","protected":false},"author":2,"featured_media":91378,"comment_status":"closed","ping_status":"closed","sticky":false,"template":"","format":"standard","meta":{"_acf_changed":false,"footnotes":""},"categories":[131,70],"tags":[537,2601,2600,418,2602],"class_list":["post-91362","post","type-post","status-publish","format-standard","hentry","category-color-grading","category-filmmaking","tag-cinematic-colors","tag-color-barcode","tag-color-palette","tag-color-space","tag-film-color"],"acf":[],"_links":{"self":[{"href":"https:\/\/pixflow.net\/blog\/wp-json\/wp\/v2\/posts\/91362","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/pixflow.net\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/pixflow.net\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/pixflow.net\/blog\/wp-json\/wp\/v2\/users\/2"}],"replies":[{"embeddable":true,"href":"https:\/\/pixflow.net\/blog\/wp-json\/wp\/v2\/comments?post=91362"}],"version-history":[{"count":17,"href":"https:\/\/pixflow.net\/blog\/wp-json\/wp\/v2\/posts\/91362\/revisions"}],"predecessor-version":[{"id":92651,"href":"https:\/\/pixflow.net\/blog\/wp-json\/wp\/v2\/posts\/91362\/revisions\/92651"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/pixflow.net\/blog\/wp-json\/wp\/v2\/media\/91378"}],"wp:attachment":[{"href":"https:\/\/pixflow.net\/blog\/wp-json\/wp\/v2\/media?parent=91362"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/pixflow.net\/blog\/wp-json\/wp\/v2\/categories?post=91362"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/pixflow.net\/blog\/wp-json\/wp\/v2\/tags?post=91362"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}