{"id":6653,"date":"2026-04-29T15:27:36","date_gmt":"2026-04-29T07:27:36","guid":{"rendered":"https:\/\/crepal.ai\/blog\/?p=6653"},"modified":"2026-04-29T15:27:38","modified_gmt":"2026-04-29T07:27:38","slug":"image-how-to-use-gpt-image-2-for-text-heavy-graphics","status":"publish","type":"post","link":"https:\/\/crepal.ai\/blog\/aiimage\/image-how-to-use-gpt-image-2-for-text-heavy-graphics\/","title":{"rendered":"How to Use GPT Image 2 for Text-Heavy Graphics"},"content":{"rendered":"\n<p>I&#8217;m Dora and I&#8217;ll be honest \u2014 I almost didn&#8217;t test this one seriously.<\/p>\n\n\n\n<p>Every time an AI image model promises &#8220;finally readable text,&#8221; I run the same gauntlet: a restaurant menu, an event poster, a LinkedIn carousel slide with three bullet points and a subheading. And every time, something goes wrong. A letter warps. A number inverts. The whole thing ends up looking like a font had a rough night.<\/p>\n\n\n\n<p>So when OpenAI dropped <a href=\"https:\/\/openai.com\/index\/introducing-chatgpt-images-2-0\/\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">ChatGPT Images 2.0<\/a> on April 21, 2026 \u2014 with &#8220;near-perfect text rendering&#8221; as the headline \u2014 I made myself actually test it before writing anything.<\/p>\n\n\n\n<p>What I found surprised me enough to write this.<\/p>\n\n\n\n<p>Not because it&#8217;s flawless (it isn&#8217;t). But because, for the first time, I made a poster with real readable text and felt like I could hand it to a client. That&#8217;s the bar I&#8217;m working with, and GPT Image 2 clears it for most text-heavy graphic use cases \u2014 if you know how to prompt it and where to spot the cracks.<\/p>\n\n\n\n<p>Here&#8217;s the workflow that actually works.<\/p>\n\n\n\n<figure class=\"wp-block-gallery has-nested-images columns-default is-cropped wp-block-gallery-1 is-layout-flex wp-block-gallery-is-layout-flex\">\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"1024\" height=\"358\" data-id=\"6657\" data-src=\"https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/04\/image-287-1024x358.png\" alt=\"\" class=\"wp-image-6657 lazyload\" data-srcset=\"https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/04\/image-287-1024x358.png 1024w, https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/04\/image-287-300x105.png 300w, https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/04\/image-287-768x269.png 768w, https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/04\/image-287-18x6.png 18w, https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/04\/image-287.png 1487w\" data-sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 1024px; --smush-placeholder-aspect-ratio: 1024\/358;\" \/><\/figure>\n<\/figure>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"what-gpt-image-2-is-and-why-text-heavy-graphics-matter\">What GPT Image 2 is and why text-heavy graphics matter<\/h2>\n\n\n\n<p>GPT Image 2 is OpenAI\u2019s latest image model, released April 21, 2026 as <strong>gpt-image-2<\/strong>, replacing DALL\u00b7E 3 and GPT Image 1.5. It runs directly inside ChatGPT for paid users\u2014no setup needed.<\/p>\n\n\n\n<p>What really sets it apart isn\u2019t just better visuals, but <strong>accurate text rendering<\/strong>. Earlier models struggled with spelling\u2014headers, price tags, and menus often came out garbled, making them unreliable for real-world design work.<\/p>\n\n\n\n<p>According to <a href=\"https:\/\/techcrunch.com\/2026\/04\/21\/chatgpts-new-images-2-0-model-is-surprisingly-good-at-generating-text\/\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">TechCrunch&#8217;s review<\/a>, GPT Image 2 can now handle <strong>small text, UI elements, icons, and dense layouts<\/strong> much more reliably (up to 2K resolution). It\u2019s not perfect, but it\u2019s good enough to make AI-generated graphics actually usable.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"what-you-need-before-you-start\">What you need before you start<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"access-path-and-prompt-ingredients\">Access path and prompt ingredients<\/h3>\n\n\n\n<p>GPT Image 2 works on all ChatGPT plans, but <strong>Thinking mode<\/strong> (available in Plus, Pro, Business, Enterprise) gives better results for text-heavy graphics because it plans the layout first.<\/p>\n\n\n\n<p><strong>How to use:<\/strong> Open ChatGPT \u2192 choose a Thinking\/Pro model \u2192 enter your image prompt.<\/p>\n\n\n\n<p>For prompt ingredients, every text-heavy graphic prompt needs four things:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>The exact text you want<\/strong>, quoted, spelled the way you want it to appear<\/li>\n\n\n\n<li><strong>A layout description<\/strong> (where text goes relative to visuals)<\/li>\n\n\n\n<li><strong>A style cue<\/strong> (flat design, photorealistic mockup, editorial poster, etc.)<\/li>\n\n\n\n<li><strong>A negative prompt<\/strong> to suppress extra text the model tends to add on its own<\/li>\n<\/ul>\n\n\n\n<p>That last one matters. GPT Image 2 has learned that text is good, so it wants to add labels and captions to everything. Tell it not to: &#8220;no additional text, no random labels, no typographic elements beyond what&#8217;s specified.&#8221;<\/p>\n\n\n\n<figure class=\"wp-block-gallery has-nested-images columns-default is-cropped wp-block-gallery-2 is-layout-flex wp-block-gallery-is-layout-flex\">\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"1024\" height=\"553\" data-id=\"6658\" data-src=\"https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/04\/image-288-1024x553.png\" alt=\"\" class=\"wp-image-6658 lazyload\" data-srcset=\"https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/04\/image-288-1024x553.png 1024w, https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/04\/image-288-300x162.png 300w, https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/04\/image-288-768x415.png 768w, https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/04\/image-288-18x10.png 18w, https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/04\/image-288.png 1408w\" data-sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 1024px; --smush-placeholder-aspect-ratio: 1024\/553;\" \/><\/figure>\n<\/figure>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"when-to-use-classic-vs-thinking\">When to use classic vs thinking<\/h3>\n\n\n\n<p>Use <strong>Thinking mode<\/strong> when:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>The graphic has multiple text elements that need to coexist without overlapping<\/li>\n\n\n\n<li>You need text at small sizes (subheadings, footnotes, captions)<\/li>\n\n\n\n<li>The layout involves hierarchy (headline &gt; subhead &gt; body copy &gt; CTA)<\/li>\n\n\n\n<li>You&#8217;re working with mixed scripts or non-Latin characters<\/li>\n<\/ul>\n\n\n\n<p>Use <strong>classic (instant) mode<\/strong> when:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>You just need a quick concept pass to see if the visual direction works<\/li>\n\n\n\n<li>The text is one element, large, and doesn&#8217;t need to interact with much else<\/li>\n\n\n\n<li>You&#8217;re iterating quickly and plan to refine in a follow-up prompt<\/li>\n<\/ul>\n\n\n\n<p>The generation time difference is real \u2014 Thinking mode is noticeably slower. But for anything that&#8217;s going near a client or a real channel, the extra wait is worth it.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"step-by-step-workflow-for-posters-carousels-and-thumbnails\">Step-by-step workflow for posters, carousels, and thumbnails<\/h2>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"build-the-layout-prompt\">Build the layout prompt<\/h3>\n\n\n\n<p>The single biggest mistake I see in prompts for text-heavy graphics is treating text as an afterthought. Something like: &#8220;Create a summer festival poster with colorful visuals and text saying &#8216;Riverside Festival June 14&#8217;.&#8221;<\/p>\n\n\n\n<p>That works maybe 40% of the time. Here&#8217;s what works closer to 90%:<\/p>\n\n\n\n<p>Describe the image like you&#8217;re briefing a designer. Start with the overall composition, then move to the style, then to the typography, then to the secondary details. The <a href=\"https:\/\/developers.openai.com\/cookbook\/examples\/multimodal\/image-gen-models-prompting-guide\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">OpenAI image generation prompting guide<\/a> specifically recommends building prompts with concrete specifics \u2014 exact text strings, font weight descriptors, placement language (&#8220;upper third,&#8221; &#8220;bottom-left corner,&#8221; &#8220;centered below the main image&#8221;).<\/p>\n\n\n\n<p>An example that worked well for me:<\/p>\n\n\n\n<blockquote class=\"wp-block-quote is-layout-flow wp-block-quote-is-layout-flow\">\n<p><em>A flat-design event poster, white background with warm cream texture. At the top in bold dark serif: &#8220;RIVERSIDE FESTIVAL&#8221;. Immediately below, in smaller medium-weight sans-serif, the text &#8220;June 14 \u00b7 Waterfront Park \u00b7 Free Entry&#8221;. In the center, an illustrated crowd silhouette against a sunset. Bottom-right corner, small and muted: &#8220;Doors open at 4PM&#8221;. No additional text, no random labels, no decorative typographic elements.<\/em><\/p>\n<\/blockquote>\n\n\n\n<p>What you&#8217;ll get: pretty much that, spelled correctly, with the hierarchy intact. The model respects &#8220;at the top,&#8221; &#8220;immediately below,&#8221; and &#8220;bottom-right corner&#8221; as actual positioning instructions now \u2014 that was not reliably true with GPT Image 1.5.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"check-spelling-numbers-and-hierarchy\">Check spelling, numbers, and hierarchy<\/h3>\n\n\n\n<figure class=\"wp-block-gallery has-nested-images columns-default is-cropped wp-block-gallery-3 is-layout-flex wp-block-gallery-is-layout-flex\">\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"1024\" height=\"316\" data-id=\"6656\" data-src=\"https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/04\/image-286-1024x316.png\" alt=\"\" class=\"wp-image-6656 lazyload\" data-srcset=\"https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/04\/image-286-1024x316.png 1024w, https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/04\/image-286-300x93.png 300w, https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/04\/image-286-768x237.png 768w, https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/04\/image-286-18x6.png 18w, https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/04\/image-286.png 1162w\" data-sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 1024px; --smush-placeholder-aspect-ratio: 1024\/316;\" \/><\/figure>\n<\/figure>\n\n\n\n<p>Here\u2019s the honest part: <strong>don\u2019t fully trust it.<\/strong><\/p>\n\n\n\n<p>GPT Image 2 is much better at text than older models \u2014 but it\u2019s still not a proofreader. It generates, it doesn\u2019t typeset.<\/p>\n\n\n\n<p>In my testing, Latin script at headline sizes was nearly always correct. Where things got shaky:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Numbers with multiple digits<\/strong>, especially in tight spacing (dates, prices, phone numbers)<\/li>\n\n\n\n<li><strong>Very small text<\/strong> \u2014 caption-size copy below about 10\u201312pt equivalents started blurring<\/li>\n\n\n\n<li><strong>Fully packed layouts<\/strong> \u2014 when I pushed for five separate text elements in a carousel slide, I&#8217;d get two or three perfect and then one with a slightly wrong character<\/li>\n<\/ul>\n\n\n\n<p>The model also has a known issue with tight cropping on vertical formats \u2014 poster footers can get clipped. I lost a CTA button on two of my early poster tests before I started adding &#8220;include generous bottom padding, full frame visible&#8221; to my prompts.<\/p>\n\n\n\n<p>My QA checklist before using any output:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li>Every word spelled correctly?<\/li>\n\n\n\n<li>Every number exactly right?<\/li>\n\n\n\n<li>No extra text the model added spontaneously?<\/li>\n\n\n\n<li>Bottom edge visible and not cropped?<\/li>\n\n\n\n<li>Text hierarchy reads in the right order (headline &gt; subhead &gt; body)?<\/li>\n\n\n\n<li>Nothing overlapping the text?<\/li>\n<\/ul>\n\n\n\n<p>If anything fails, use the chat interface to fix it: &#8220;The date reads &#8217;14 June&#8217; but should read &#8216;June 14&#8217; \u2014 please fix only that element.&#8221; Multi-turn editing with context preservation is one of GPT Image 2&#8217;s genuine strengths, and it works well for targeted corrections.<\/p>\n\n\n\n<h3 class=\"wp-block-heading\" id=\"export-and-human-qa\">Export and human QA<\/h3>\n\n\n\n<p>For final outputs, download at the highest resolution available. The model generates at up to 2K natively, and you can request specific dimensions in your prompt.<\/p>\n\n\n\n<p>From there: apply your normal human QA pass. Read every word. Check every number. For anything going to print or a paid ad, run the text through a second set of eyes regardless of how clean the AI output looks.<\/p>\n\n\n\n<p>One thing I&#8217;ve started doing: for thumbnails and social graphics, I generate the AI image for the visual composition, then add the final text in Figma or Canva. Yes, GPT Image 2 can do it in one pass. But if the text is the legally important part (price, date, event name), doing it in a tool where you have full control over the letterforms removes the last 5% of risk entirely.<\/p>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"limits-risks-and-trade-offs\">Limits, risks, and trade-offs<\/h2>\n\n\n\n<p>Let me put this plainly because I&#8217;ve seen too many writeups skip it.<\/p>\n\n\n\n<p>GPT Image 2 is not a replacement for a professional design tool. According to <a href=\"https:\/\/venturebeat.com\/technology\/openais-chatgpt-images-2-0-is-here-and-it-does-multilingual-text-full-infographics-slides-maps-even-manga-seemingly-flawlessly\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">VentureBeat&#8217;s testing<\/a>, the model is described as a &#8220;polyglot&#8221; with strong non-Latin support, and I verified that for Japanese and Korean in my own tests \u2014 both rendered cleanly at headline sizes. But multilingual text at small sizes, or mixed-script lines (Japanese + English inline), was less consistent.<\/p>\n\n\n\n<p>Other real limits I ran into:<\/p>\n\n\n\n<ul class=\"wp-block-list\">\n<li><strong>Brand logos:<\/strong> It\u2019ll approximate, not match \u2192 always add logos in post<\/li>\n\n\n\n<li><strong>Charts &amp; graphs:<\/strong> Looks right, data may be wrong \u2192 never trust without verification<\/li>\n\n\n\n<li><strong>Long text blocks:<\/strong> Short text is fine, paragraphs break (spacing, characters drift)<\/li>\n\n\n\n<li><strong>Mixed scripts \/ small text:<\/strong> Japanese + English or tiny captions can get inconsistent<\/li>\n\n\n\n<li><strong>Certain content types:<\/strong> May refuse or alter phrasing due to safety policies<\/li>\n<\/ul>\n\n\n\n<p>The knowledge cutoff is December 2025, which means anything referencing events or products from 2026 might need a web search assist from Thinking mode to render accurately.<\/p>\n\n\n\n<figure class=\"wp-block-gallery has-nested-images columns-default is-cropped wp-block-gallery-4 is-layout-flex wp-block-gallery-is-layout-flex\">\n<figure class=\"wp-block-image size-large\"><img decoding=\"async\" width=\"1024\" height=\"466\" data-id=\"6655\" data-src=\"https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/04\/image-285-1024x466.png\" alt=\"\" class=\"wp-image-6655 lazyload\" data-srcset=\"https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/04\/image-285-1024x466.png 1024w, https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/04\/image-285-300x137.png 300w, https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/04\/image-285-768x350.png 768w, https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/04\/image-285-18x8.png 18w, https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/04\/image-285.png 1173w\" data-sizes=\"auto, (max-width: 1024px) 100vw, 1024px\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" style=\"--smush-placeholder-width: 1024px; --smush-placeholder-aspect-ratio: 1024\/466;\" \/><\/figure>\n<\/figure>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"alternatives-for-harder-design-tasks\">Alternatives for harder design tasks<\/h2>\n\n\n\n<p>If GPT Image 2&#8217;s limits matter for your use case, here&#8217;s where I&#8217;d redirect:<\/p>\n\n\n\n<p><strong>For precision typography and final layouts<\/strong> \u2014 Figma, Canva, or Adobe Express. Not AI-generated, but you get pixel-perfect control. Use GPT Image 2 for the visual composition and handle text separately.<\/p>\n\n\n\n<p><strong>For high-volume social graphic generation<\/strong> \u2014 tools like Canva&#8217;s AI features or template-based generators that let you lock down the text fields while varying the visuals. Less creative flexibility, more reliability at scale.<\/p>\n\n\n\n<p><strong>For multilingual carousels at scale<\/strong> \u2014 GPT Image 2 is actually one of the better options right now, especially for Japanese and Korean. But still do a QA pass on every output before publishing.<\/p>\n\n\n\n<p><strong>For motion and video thumbnails<\/strong> \u2014 generate the static frame in GPT Image 2, then bring it into a video tool if you need animation. The still image quality is solid enough to use as a base.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity is-style-wide\" \/>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"faq\">FAQ<\/h2>\n\n\n\n<p><strong>How do I stop it from adding random text I didn&#8217;t ask for?<\/strong> End your prompt with something like: &#8220;No additional text, no random labels, no typographic elements beyond what&#8217;s specified.&#8221; The model has learned that text = good, so it needs explicit instruction to leave blank space alone.<\/p>\n\n\n\n<p><strong>Is it good enough for client work?<\/strong> For concept mockups and quick visual directions, yes. For final deliverables, do a full proofread and fix any errors using the chat-based edit tool or by adding final text in Figma\/Canva. It&#8217;s significantly faster than starting from scratch, but the human QA step doesn&#8217;t go away.<\/p>\n\n\n\n<p><strong>Does it handle non-Latin scripts?<\/strong> Yes, and this is one of the genuine breakthroughs. Japanese, Korean, Chinese, Hindi, and Bengali all rendered correctly in my headline-size tests. Small-print non-Latin text was less consistent. Always verify character accuracy if it&#8217;s mission-critical.<\/p>\n\n\n\n<p><strong>How long does Thinking mode take?<\/strong> Roughly two to four minutes for a complex graphic, in my experience. Simple layouts are faster. It&#8217;s slow enough that I wouldn&#8217;t use it for rapid iteration \u2014 use classic mode for exploration and switch to Thinking for finals.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity is-style-wide\" \/>\n\n\n\n<h2 class=\"wp-block-heading\" id=\"wrapping-up\">Wrapping up<\/h2>\n\n\n\n<p>Honestly? I&#8217;ll keep coming back to this for the workflow it saves. Not because the text is always perfect \u2014 it isn&#8217;t \u2014 but because the first draft is now actually useful, and fixing two small things in a chat conversation beats rebuilding from a blank canvas in a design tool every time.<\/p>\n\n\n\n<p>The gap that GPT Image 2 closes is the one that mattered most: you can now tell it what to write, and it writes it. Readable, mostly correct, properly placed. That&#8217;s new.<\/p>\n\n\n\n<p>Just build the QA step into your process and don&#8217;t skip the proofreading pass. The model is fast. That doesn&#8217;t mean the output is infallible.<\/p>\n\n\n\n<hr class=\"wp-block-separator has-alpha-channel-opacity is-style-wide\" \/>\n\n\n\n<p><strong>Previous Posts:<\/strong><\/p>\n\n\n\n<figure class=\"wp-block-embed is-type-wp-embed is-provider-crepal-content-center wp-block-embed-crepal-content-center\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"wp-embedded-content\" data-secret=\"7b6Q6OJQuc\"><a href=\"https:\/\/crepal.ai\/blog\/aiimage\/image-gpt-image-2\/\">What Is GPT Image 2: Why Creators Should Care<\/a><\/blockquote><iframe class=\"wp-embedded-content lazyload\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; visibility: hidden;\" title=\"\u300a What Is GPT Image 2: Why Creators Should Care \u300b\u2014CrePal Content Center\" data-src=\"https:\/\/crepal.ai\/blog\/aiimage\/image-gpt-image-2\/embed\/#?secret=eH0cM4qaH4#?secret=7b6Q6OJQuc\" data-secret=\"7b6Q6OJQuc\" width=\"600\" height=\"338\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" data-load-mode=\"1\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<figure class=\"wp-block-embed is-type-wp-embed is-provider-crepal-content-center wp-block-embed-crepal-content-center\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"wp-embedded-content\" data-secret=\"HOjxV1zRFL\"><a href=\"https:\/\/crepal.ai\/blog\/aivideo\/aivideo-best-ai-image-to-video-generators\/\">Best AI Image to Video Generators: Free and Paid in 2026<\/a><\/blockquote><iframe class=\"wp-embedded-content lazyload\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; visibility: hidden;\" title=\"\u300a Best AI Image to Video Generators: Free and Paid in 2026 \u300b\u2014CrePal Content Center\" data-src=\"https:\/\/crepal.ai\/blog\/aivideo\/aivideo-best-ai-image-to-video-generators\/embed\/#?secret=1esWtRfjCB#?secret=HOjxV1zRFL\" data-secret=\"HOjxV1zRFL\" width=\"600\" height=\"338\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" data-load-mode=\"1\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<figure class=\"wp-block-embed is-type-wp-embed is-provider-crepal-content-center wp-block-embed-crepal-content-center\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"wp-embedded-content\" data-secret=\"slg5mWx5r4\"><a href=\"https:\/\/crepal.ai\/blog\/aivideo\/uncensored-ai-image-to-video-generator-guide\/\">Uncensored AI Image to Video Generator: 2026 Complete Guide<\/a><\/blockquote><iframe class=\"wp-embedded-content lazyload\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; visibility: hidden;\" title=\"\u300a Uncensored AI Image to Video Generator: 2026 Complete Guide \u300b\u2014CrePal Content Center\" data-src=\"https:\/\/crepal.ai\/blog\/aivideo\/uncensored-ai-image-to-video-generator-guide\/embed\/#?secret=OzxVRhgXkM#?secret=slg5mWx5r4\" data-secret=\"slg5mWx5r4\" width=\"600\" height=\"338\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" data-load-mode=\"1\"><\/iframe>\n<\/div><\/figure>\n\n\n\n<figure class=\"wp-block-embed is-type-wp-embed is-provider-crepal-content-center wp-block-embed-crepal-content-center\"><div class=\"wp-block-embed__wrapper\">\n<blockquote class=\"wp-embedded-content\" data-secret=\"VeaFXMIprP\"><a href=\"https:\/\/crepal.ai\/blog\/aivideo\/aivideo-best-ai-tools-ugc-video-content\/\">Best AI Tools for UGC Video Content Creation in 2026<\/a><\/blockquote><iframe class=\"wp-embedded-content lazyload\" sandbox=\"allow-scripts\" security=\"restricted\" style=\"position: absolute; visibility: hidden;\" title=\"\u300a Best AI Tools for UGC Video Content Creation in 2026 \u300b\u2014CrePal Content Center\" data-src=\"https:\/\/crepal.ai\/blog\/aivideo\/aivideo-best-ai-tools-ugc-video-content\/embed\/#?secret=dfo0afS3iV#?secret=VeaFXMIprP\" data-secret=\"VeaFXMIprP\" width=\"600\" height=\"338\" frameborder=\"0\" marginwidth=\"0\" marginheight=\"0\" scrolling=\"no\" src=\"data:image\/svg+xml;base64,PHN2ZyB3aWR0aD0iMSIgaGVpZ2h0PSIxIiB4bWxucz0iaHR0cDovL3d3dy53My5vcmcvMjAwMC9zdmciPjwvc3ZnPg==\" data-load-mode=\"1\"><\/iframe>\n<\/div><\/figure>\n","protected":false},"excerpt":{"rendered":"<p>I&#8217;m Dora and I&#8217;ll be honest \u2014 I almost didn&#8217;t test this one seriously. Every time an AI image model promises &#8220;finally readable text,&#8221; I run the same gauntlet: a restaurant menu, an event poster, a LinkedIn carousel slide with three bullet points and a subheading. And every time, something goes wrong. A letter warps. [&hellip;]<\/p>\n","protected":false},"author":5,"featured_media":6659,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"_gspb_post_css":"","_uag_custom_page_level_css":"","footnotes":""},"categories":[9],"tags":[],"class_list":["post-6653","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-aiimage"],"blocksy_meta":[],"uagb_featured_image_src":{"full":["https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/04\/image-289.png",1376,768,false],"thumbnail":["https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/04\/image-289-150x150.png",150,150,true],"medium":["https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/04\/image-289-300x167.png",300,167,true],"medium_large":["https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/04\/image-289-768x429.png",768,429,true],"large":["https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/04\/image-289-1024x572.png",1024,572,true],"1536x1536":["https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/04\/image-289.png",1376,768,false],"2048x2048":["https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/04\/image-289.png",1376,768,false],"trp-custom-language-flag":["https:\/\/crepal.ai\/blog\/wp-content\/uploads\/2026\/04\/image-289-18x10.png",18,10,true]},"uagb_author_info":{"display_name":"Dora","author_link":"https:\/\/crepal.ai\/blog\/author\/dora\/"},"uagb_comment_info":2,"uagb_excerpt":"I&#8217;m Dora and I&#8217;ll be honest \u2014 I almost didn&#8217;t test this one seriously. Every time an AI image model promises &#8220;finally readable text,&#8221; I run the same gauntlet: a restaurant menu, an event poster, a LinkedIn carousel slide with three bullet points and a subheading. And every time, something goes wrong. A letter warps.&hellip;","_links":{"self":[{"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/posts\/6653","targetHints":{"allow":["GET"]}}],"collection":[{"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/posts"}],"about":[{"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/types\/post"}],"author":[{"embeddable":true,"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/users\/5"}],"replies":[{"embeddable":true,"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/comments?post=6653"}],"version-history":[{"count":1,"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/posts\/6653\/revisions"}],"predecessor-version":[{"id":6660,"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/posts\/6653\/revisions\/6660"}],"wp:featuredmedia":[{"embeddable":true,"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/media\/6659"}],"wp:attachment":[{"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/media?parent=6653"}],"wp:term":[{"taxonomy":"category","embeddable":true,"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/categories?post=6653"},{"taxonomy":"post_tag","embeddable":true,"href":"https:\/\/crepal.ai\/blog\/wp-json\/wp\/v2\/tags?post=6653"}],"curies":[{"name":"wp","href":"https:\/\/api.w.org\/{rel}","templated":true}]}}