{"id":332608,"date":"2025-12-06T23:30:54","date_gmt":"2025-12-06T23:30:54","guid":{"rendered":"https:\/\/peraltafinancing.com\/analytics\/how-to-detect-ai-generated-content-googles-synthid\/"},"modified":"2025-12-06T23:30:54","modified_gmt":"2025-12-06T23:30:54","slug":"how-to-detect-ai-generated-content-googles-synthid","status":"publish","type":"post","link":"https:\/\/fivemor.com\/?p=332608","title":{"rendered":"How to Detect AI-Generated Content: Google&#8217;s SynthID"},"content":{"rendered":"<p> <br \/>\n<\/p>\n<div id=\"article-start\">\n<p>While scrolling through your YouTube feed, you might have come to a realization. It\u2019s almost impossible to figure out AI-generated content from humane content. And this problem isn\u2019t limited to YouTube, but has plagued content throughout the internet. With releases like Nano banana, ChatGPT and Qwen pushing the boundaries for what was possible before, it has become a hassle to find that human touch online.<\/p>\n<p>But like most problems of the modern age, Google has come in clutch for this one. With SynthID, they propose a system of watermarking AI generated content industry wide. This guide will acquaint you with the technology, determine how good it is, and how you can use it to detect AI-generated content yourself.<\/p>\n<h2 class=\"wp-block-heading\" id=\"h-what-is-synthid\">What is SynthID?<\/h2>\n<p>SynthID detection is an <em>Invisible Watermarking tool <\/em>that makes the content created or edited by Google\u2019s AI generation tools have an imperceptible digital watermark embedded in their content. Google\u2019s systems can read this watermark. It watermarks any AI-generated media created through <a href=\"https:\/\/www.analyticsvidhya.com\/blog\/2023\/12\/what-is-google-gemini-features-usage-and-limitations\/\" target=\"_blank\" rel=\"noreferrer noopener\">Gemini<\/a> or any other generative tool in the Google ecosystem.<\/p>\n<p>This also highlights a problem: <em>The tool works \u201cconfidently\u201d with the media generated from generative tools only within Google\u2019s ecosystem<\/em>. It means SynthID can\u2019t detect content from ChatGPT, <a href=\"https:\/\/www.analyticsvidhya.com\/blog\/2025\/07\/grok-4-is-here\/\" target=\"_blank\" rel=\"noreferrer noopener\">Grok<\/a>, or other non-Google models as AI-generated with high confidence. And\u2026. Google is on its way to overcoming this by partnering with companies around the world to watermark their AI-generated content with SynthID. It\u2019s part of their goal to improve transparency and trust in AI-generated content, across the internet.<\/p>\n<p>SynthID works in the other way as well. It not only watermarks content but also detects media created by AI. This makes it the goto app for offering functionality similar to AI-detectors. <\/p>\n<p>If you want to read the research paper that explains how the SynthID algorithm works, check it out on <a href=\"https:\/\/arxiv.org\/pdf\/2510.09263\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">Nature<\/a>.<\/p>\n<h2 class=\"wp-block-heading\" id=\"h-hands-on-how-to-detect-ai-generated-content\">Hands-On: How to detect AI-Generated Content?<\/h2>\n<p>Now that SynthID has been rolled out on Gemini, we can put it to test to see how well it performs in figuring out AI-generated content. I\u2019d be testing it on the following tasks to test how well it performs in discerning multimodal AI-generated content:<\/p>\n<ol class=\"wp-block-list\">\n<li>Identifying AI-generated Text<\/li>\n<li>Identifying AI-generated Video<\/li>\n<li>Identifying an AI-generated image produced by Gemini<\/li>\n<li>Identifying a non-AI image<\/li>\n<li>Identifying a hybrid image that is part human and part AI-generated<\/li>\n<li>Identifying an AI-generated image produced by ChatGPT<\/li>\n<\/ol>\n<p>These three will test SynthID\u2019s ability to recognize the images it should flag, and how it handles those it shouldn\u2019t.<\/p>\n<p><strong>Note: <\/strong>I\u2019d be using Gemini App and Google AI Studio for performing different tasks, as Gemini App is currently limited in its features. The <strong>Text<\/strong> and <strong>Video<\/strong> AI-detection was performed on Google AI Studio.<\/p>\n<h3 class=\"wp-block-heading\" id=\"h-1-identifying-ai-generated-text\">1. Identifying AI-generated Text<\/h3>\n<p>For this task I\u2019d be using the content from one of my previous articles: <a href=\"https:\/\/www.analyticsvidhya.com\/blog\/2025\/11\/this-is-why-china-is-going-to-win-the-ai-race\/\" target=\"_blank\" rel=\"noreferrer noopener\">Why China is winning the AI race?<\/a><\/p>\n<p><strong>Response:<\/strong><\/p>\n<div class=\"wp-block-jetpack-slideshow aligncenter\" data-effect=\"slide\">\n<div class=\"wp-block-jetpack-slideshow_container swiper\">\n<ul class=\"wp-block-jetpack-slideshow_swiper-wrapper swiper-wrapper\">\n<li class=\"wp-block-jetpack-slideshow_slide swiper-slide\">\n<figure><img loading=\"lazy\" decoding=\"async\" width=\"1778\" height=\"1596\" alt=\"Wrong response 1\" class=\"wp-block-jetpack-slideshow_image wp-image-247460\" data-id=\"247460\" src=\"https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Screenshot-3.webp\" srcset=\"https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Screenshot-3.webp 1778w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Screenshot-3-300x269.webp 300w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Screenshot-3-768x689.webp 768w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Screenshot-3-1536x1379.webp 1536w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Screenshot-3-150x135.webp 150w\" sizes=\"auto, (max-width: 1778px) 100vw, 1778px\"\/><\/figure>\n<\/li>\n<li class=\"wp-block-jetpack-slideshow_slide swiper-slide\">\n<figure><img loading=\"lazy\" decoding=\"async\" width=\"1778\" height=\"190\" alt=\"Wrong response 2\" class=\"wp-block-jetpack-slideshow_image wp-image-247459\" data-id=\"247459\" src=\"https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Screenshot-4.webp\" srcset=\"https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Screenshot-4.webp 1778w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Screenshot-4-300x32.webp 300w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Screenshot-4-768x82.webp 768w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Screenshot-4-1536x164.webp 1536w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Screenshot-4-150x16.webp 150w\" sizes=\"auto, (max-width: 1778px) 100vw, 1778px\"\/><\/figure>\n<\/li>\n<\/ul>\n<p><a class=\"wp-block-jetpack-slideshow_button-prev swiper-button-prev swiper-button-white\" role=\"button\"\/><a class=\"wp-block-jetpack-slideshow_button-next swiper-button-next swiper-button-white\" role=\"button\"\/><a aria-label=\"Pause Slideshow\" class=\"wp-block-jetpack-slideshow_button-pause\" role=\"button\"\/><\/div>\n<\/div>\n<p>Cap! But to more convincingly prove why this isn\u2019t true, the sections following the first one are all erroneous (first one could be attributed lack of structural understanding of the model). The third section <strong>Phrasing and Vocabulary<\/strong> especially takes the cake, as the model went full pedant figuring out problems in the text, which don\u2019t even exist. It considered typical writing mannerisms, like grandiloquence (Yes, I am guilty) and balanced viewpoints, as red-flags.<\/p>\n<p>The fourth section <strong>Quote Attribution Issues<\/strong> highlights the limited realtime information fetching capabilities of the model. The Jensen Huang quote, that could be found at this <a href=\"https:\/\/timesofindia.indiatimes.com\/technology\/tech-news\/nvidia-ceo-jensen-huang-clarifies-china-will-win-ai-race-thats-not-what-i-said-what-i-said-was-\/articleshow\/125183199.cms\" target=\"_blank\" rel=\"noreferrer noopener nofollow\">TOI<\/a> article, was apparently a <em>conflation<\/em>!<\/p>\n<p>I would advise <em>against<\/em> using the textual AI-detection capabilities of Gemini.<\/p>\n<h3 class=\"wp-block-heading\" id=\"h-2-identifying-ai-generated-video\">2. Identifying AI-generated Video<\/h3>\n<p>I\u2019d be using the following AI-Generated video for this task:<\/p>\n<p>\n<iframe src=\"https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Cute-dog.mp4\" loading=\"lazy\" title=\"YouTube video\" allowfullscreen=\"\"><\/iframe>\n<\/p>\n<p><strong>Response:<\/strong><\/p>\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"1976\" height=\"1660\" src=\"https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Screenshot-2025-12-04-at-4.37.24-PM.webp\" alt=\"Correct AI-Detection result\" class=\"wp-image-247451\" srcset=\"https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Screenshot-2025-12-04-at-4.37.24-PM.webp 1976w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Screenshot-2025-12-04-at-4.37.24-PM-300x252.webp 300w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Screenshot-2025-12-04-at-4.37.24-PM-768x645.webp 768w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Screenshot-2025-12-04-at-4.37.24-PM-1536x1290.webp 1536w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Screenshot-2025-12-04-at-4.37.24-PM-150x126.webp 150w\" sizes=\"auto, (max-width: 1976px) 100vw, 1976px\"\/><\/figure>\n<\/div>\n<p>Right on the mark! The model was not only able to recognise that it was likely AI-generated, but also provided a possible rationale behind it. The points were convincing enough for to consider this video AI-generated.<\/p>\n<h3 class=\"wp-block-heading\" id=\"h-3-identifying-an-ai-generated-image-produced-by-gemini\">3. Identifying an AI-Generated image produced by Gemini<\/h3>\n<p>I\u2019d be using the following image for this task:<\/p>\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"2048\" height=\"2048\" src=\"https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/image-15.webp\" alt=\"AI-Generated Image of a dog\" class=\"wp-image-247470\" style=\"width:548px\" srcset=\"https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/image-15.webp 2048w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/image-15-300x300.webp 300w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/image-15-150x150.webp 150w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/image-15-768x768.webp 768w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/image-15-1536x1536.webp 1536w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/image-15-96x96.webp 96w\" sizes=\"auto, (max-width: 2048px) 100vw, 2048px\"\/><\/figure>\n<\/div>\n<p><strong>Response:<\/strong><\/p>\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1392\" height=\"1542\" src=\"https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Screenshot-2025-12-04-at-1.05.42-PM.webp\" alt=\"Correct AI-Detection result and reasoning\" class=\"wp-image-247439\" style=\"width:549px\" srcset=\"https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Screenshot-2025-12-04-at-1.05.42-PM.webp 1392w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Screenshot-2025-12-04-at-1.05.42-PM-271x300.webp 271w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Screenshot-2025-12-04-at-1.05.42-PM-768x851.webp 768w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Screenshot-2025-12-04-at-1.05.42-PM-1387x1536.webp 1387w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Screenshot-2025-12-04-at-1.05.42-PM-150x166.webp 150w\" sizes=\"auto, (max-width: 1392px) 100vw, 1392px\"\/><\/figure>\n<\/div>\n<p>This was an easy one as the image had a visible watermark on it.<\/p>\n<p>The thing that stood out to me (other than the minute long wait time) was that in its reasoning a clear call to the <strong>SynthID<\/strong> tool was made for <em>final verification<\/em>. Meaning the tool isn\u2019t the only way for the model to recognise AI content.<\/p>\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"376\" height=\"456\" src=\"https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Screenshot-2025-12-04-at-3.17.57-PM.webp\" alt=\"Tool usage for deduction\" class=\"wp-image-247444\" srcset=\"https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Screenshot-2025-12-04-at-3.17.57-PM.webp 376w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Screenshot-2025-12-04-at-3.17.57-PM-247x300.webp 247w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Screenshot-2025-12-04-at-3.17.57-PM-150x182.webp 150w\" sizes=\"auto, (max-width: 376px) 100vw, 376px\"\/><figcaption class=\"wp-element-caption\">An intermediate step in the thinking process<\/figcaption><\/figure>\n<\/div>\n<p>The model itself picks on the signs that could help in reaching a definitive result.\u00a0SynthID is leveraged for final confirmation.<\/p>\n<h3 class=\"wp-block-heading\" id=\"h-4-identifying-a-non-ai-image\">4. Identifying a Non-AI Image<\/h3>\n<p>I\u2019d be using the following image for this task:<\/p>\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1284\" height=\"1568\" src=\"https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/image-14.png\" alt=\"Human image\" class=\"wp-image-247437\" style=\"width:548px\" srcset=\"https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/image-14.png 1284w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/image-14-246x300.png 246w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/image-14-768x938.png 768w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/image-14-1258x1536.png 1258w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/image-14-150x183.png 150w\" sizes=\"auto, (max-width: 1284px) 100vw, 1284px\"\/><\/figure>\n<\/div>\n<p>The image is as humane as it gets. Let\u2019s see what Gemini thinks about it.<\/p>\n<p><strong>Response:<\/strong><\/p>\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1468\" height=\"1410\" src=\"https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Screenshot-2025-12-05-at-10.48.42-AM.webp\" alt=\"Correct AI-Detection result and reasoning\" class=\"wp-image-247454\" style=\"width:548px\" srcset=\"https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Screenshot-2025-12-05-at-10.48.42-AM.webp 1468w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Screenshot-2025-12-05-at-10.48.42-AM-300x288.webp 300w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Screenshot-2025-12-05-at-10.48.42-AM-768x738.webp 768w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Screenshot-2025-12-05-at-10.48.42-AM-150x144.webp 150w\" sizes=\"auto, (max-width: 1468px) 100vw, 1468px\"\/><\/figure>\n<\/div>\n<p>Correct observation from Gemini. The model also let it be known that since this is a real image and therefore doesn\u2019t have an invisible watermark, it is impossible to be 100% certain about the conclusion. When all the major models start embedding SynthID in their content, this deduction would be a lot more confident.<\/p>\n<h3 class=\"wp-block-heading\" id=\"h-5-identifying-a-hybrid-image-that-is-part-human-and-part-ai-generated\">5. Identifying a hybrid image that is part human and part AI-generated<\/h3>\n<p>For this test I\u2019d be using the doctored version of the previous image:<\/p>\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"928\" height=\"1120\" src=\"https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Gemini_Generated_Image_di6elpdi6elpdi6e.webp\" alt=\"Partly doctored image\" class=\"wp-image-247455\" style=\"width:548px\" srcset=\"https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Gemini_Generated_Image_di6elpdi6elpdi6e.webp 928w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Gemini_Generated_Image_di6elpdi6elpdi6e-249x300.webp 249w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Gemini_Generated_Image_di6elpdi6elpdi6e-768x927.webp 768w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Gemini_Generated_Image_di6elpdi6elpdi6e-150x181.webp 150w\" sizes=\"auto, (max-width: 928px) 100vw, 928px\"\/><\/figure>\n<\/div>\n<p><strong>Response: <\/strong><\/p>\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1398\" height=\"1114\" src=\"https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Screenshot-2025-12-04-at-3.17.27-PM.webp\" alt=\"Correct AI-Detection result\" class=\"wp-image-247443\" style=\"width:548px\" srcset=\"https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Screenshot-2025-12-04-at-3.17.27-PM.webp 1398w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Screenshot-2025-12-04-at-3.17.27-PM-300x239.webp 300w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Screenshot-2025-12-04-at-3.17.27-PM-768x612.webp 768w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Screenshot-2025-12-04-at-3.17.27-PM-150x120.webp 150w\" sizes=\"auto, (max-width: 1398px) 100vw, 1398px\"\/><\/figure>\n<\/div>\n<p>Right on the mark! The model correctly figured out the part of the image that has been digitally altered.<\/p>\n<h3 class=\"wp-block-heading\" id=\"h-6-identifying-an-ai-generated-image-produced-by-chatgpt\">6. Identifying an AI-Generated image produced by ChatGPT<\/h3>\n<p>For this test, I\u2019d be using the following image, which is a recreation of the dog image I had used in the first task, made by <a href=\"https:\/\/www.analyticsvidhya.com\/blog\/2023\/03\/everything-you-need-to-know-about-chatgpt\/\" target=\"_blank\" rel=\"noreferrer noopener\">ChatGPT<\/a>:<\/p>\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1024\" height=\"1024\" src=\"https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Black.webp\" alt=\"Image recreation using ChatGPT\" class=\"wp-image-247456\" style=\"width:548px;height:auto\" srcset=\"https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Black.webp 1024w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Black-300x300.webp 300w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Black-150x150.webp 150w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Black-768x768.webp 768w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Black-96x96.webp 96w\" sizes=\"auto, (max-width: 1024px) 100vw, 1024px\"\/><figcaption class=\"wp-element-caption\">Look at the Gemini logo recreation at the bottom right<\/figcaption><\/figure>\n<\/div>\n<p><strong>Response: <\/strong><\/p>\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1400\" height=\"1498\" src=\"https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Screenshot-2025-12-04-at-3.25.40-PM.webp\" alt=\"Acceptable AI-Detection result and reasoning\" class=\"wp-image-247446\" style=\"width:549px;height:auto\" srcset=\"https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Screenshot-2025-12-04-at-3.25.40-PM.webp 1400w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Screenshot-2025-12-04-at-3.25.40-PM-280x300.webp 280w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Screenshot-2025-12-04-at-3.25.40-PM-768x822.webp 768w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Screenshot-2025-12-04-at-3.25.40-PM-150x161.webp 150w\" sizes=\"auto, (max-width: 1400px) 100vw, 1400px\"\/><\/figure>\n<\/div>\n<p>Lack of partners really hits the algorithm hard. The absence of SynthID in the image, led to the model analysing its contents and surmising wildly. The model concluded that it is possibly a painting, which isn\u2019t the case.<\/p>\n<h2 class=\"wp-block-heading\" id=\"h-verdict\">Verdict<\/h2>\n<p>It was a wild ride. Where SynthID and Gemini in general shined with some modalities, their performance in the rest leaves a lot to be desired. Here are a few things I found out while using the SynthID functionality of Gemini:<\/p>\n<ol class=\"wp-block-list\">\n<li><strong>Looooooooong Response times: <\/strong>If <em>thinking mode<\/em> is enabled, response time for the model even with modest images (like the ones with a Gemini watermark) can be over 2 minutes.<\/li>\n<\/ol>\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full\"><img loading=\"lazy\" decoding=\"async\" width=\"232\" height=\"110\" src=\"https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Screenshot-2025-12-04-at-3.06.14-PM.webp\" alt=\"Over 2 minutes of this\" class=\"wp-image-247440\" srcset=\"https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Screenshot-2025-12-04-at-3.06.14-PM.webp 232w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Screenshot-2025-12-04-at-3.06.14-PM-150x71.webp 150w\" sizes=\"auto, (max-width: 232px) 100vw, 232px\"\/><figcaption class=\"wp-element-caption\">Over 2 minutes of this<\/figcaption><\/figure>\n<\/div>\n<ol start=\"2\" class=\"wp-block-list\">\n<li><strong>Frequent Crashes: <\/strong>If the image is proving difficult for the model to detect AI-content in, sometimes, Gemini would straight up crash. This was the case if AI-detection was attempted on <em>thinking<\/em> enabled chats.<\/li>\n<li><strong>Gemini App limitations:<\/strong> Gemini app can\u2019t handle videos as of now. The responses hit the limit way too often, and the response quality is also way worse.<\/li>\n<\/ol>\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1428\" height=\"874\" src=\"https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Screenshot-2025-12-04-at-4.32.39-PM.webp\" alt=\"Gemini App limitations\" class=\"wp-image-247450\" style=\"width:618px;height:auto\" srcset=\"https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Screenshot-2025-12-04-at-4.32.39-PM.webp 1428w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Screenshot-2025-12-04-at-4.32.39-PM-300x184.webp 300w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Screenshot-2025-12-04-at-4.32.39-PM-768x470.webp 768w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Screenshot-2025-12-04-at-4.32.39-PM-150x92.webp 150w\" sizes=\"auto, (max-width: 1428px) 100vw, 1428px\"\/><\/figure>\n<\/div>\n<ol start=\"4\" class=\"wp-block-list\">\n<li><strong>Variation in response quality: <\/strong>Whereas the model detected confidently on image and videos, its response in AI-generated text wasn\u2019t on par.<\/li>\n<li><strong>Expedience over Excellence: <\/strong>The model tries to conject the results using vague information over protocol following. Meaning it would prefer telltale signs, than doing its AI-detection routine to come to a conclusion.<\/li>\n<\/ol>\n<div class=\"wp-block-image\">\n<figure class=\"aligncenter size-full is-resized\"><img loading=\"lazy\" decoding=\"async\" width=\"1400\" height=\"1498\" src=\"https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Screenshot-2025-12-04-at-3.24.32-PM-1.webp\" alt=\"Ambiguous data points\" class=\"wp-image-247463\" style=\"width:618px;height:auto\" srcset=\"https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Screenshot-2025-12-04-at-3.24.32-PM-1.webp 1400w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Screenshot-2025-12-04-at-3.24.32-PM-1-280x300.webp 280w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Screenshot-2025-12-04-at-3.24.32-PM-1-768x822.webp 768w, https:\/\/cdn.analyticsvidhya.com\/wp-content\/uploads\/2025\/12\/Screenshot-2025-12-04-at-3.24.32-PM-1-150x161.webp 150w\" sizes=\"auto, (max-width: 1400px) 100vw, 1400px\"\/><figcaption class=\"wp-element-caption\">The 2<sup>nd<\/sup> point highlights using ambiguous data sources (<em>Filename<\/em>) for deduction<\/figcaption><\/figure>\n<\/div>\n<h2 class=\"wp-block-heading\" id=\"h-conclusion\">Conclusion<\/h2>\n<p>Is this the replacement for your AI-detector? Kind of. If the requirement is AI-detection of visual media, then the tool would prove useful. It performed exceptionally with images and videos and offered sound reasoning. With text, it felt a bit too dogmatic, where it was trying to backtrack everything to an AI-esque pattern.\u00a0<\/p>\n<p>But like many other offerings by Google, it\u2019s a step in the right direction. The foundation is really solid. With more and more partners coming in to offer such watermarking on their AI-generation, the model would surely improve with time.\u00a0<\/p>\n<p><strong>TLDR:<\/strong> Use Google AI Studio for content AI-detection.<\/p>\n<h2 class=\"wp-block-heading\" id=\"h-frequently-asked-questions\">Frequently Asked Questions<\/h2>\n<div class=\"schema-faq wp-block-yoast-faq-block\">\n<div class=\"schema-faq-section\" id=\"faq-question-1764911188700\"><strong class=\"schema-faq-question\">Q1. Is the tool good for AI-detection?<\/strong> <\/p>\n<p class=\"schema-faq-answer\">A. Read the article.<\/p>\n<\/p><\/div>\n<div class=\"schema-faq-section\" id=\"faq-question-1764911199727\"><strong class=\"schema-faq-question\">Q2. Does it offer Multi-modal content AI detection?<\/strong> <\/p>\n<p class=\"schema-faq-answer\">A. Yes it does. Use it on Google AI Studio, as Gemini app has limited features.<\/p>\n<\/p><\/div>\n<div class=\"schema-faq-section\" id=\"faq-question-1764911209141\"><strong class=\"schema-faq-question\">Q3. Is SynthID usable by users without a paid account?<\/strong> <\/p>\n<p class=\"schema-faq-answer\">A. Yes, it is.\u00a0<\/p>\n<\/p><\/div>\n<\/p><\/div>\n<div class=\"border-top py-3 author-info my-4\">\n<div class=\"author-card d-flex align-items-center\">\n<div class=\"flex-shrink-0 overflow-hidden\">\n                                    <a href=\"https:\/\/www.analyticsvidhya.com\/blog\/author\/vasudeo321\/\" class=\"text-decoration-none active-avatar\"><br \/>\n                                                                       <img decoding=\"async\" src=\"https:\/\/av-eks-lekhak.s3.amazonaws.com\/media\/lekhak-profile-images\/converted_image_KFNyH8C.webp\" width=\"48\" height=\"48\" alt=\"Vasu Deo Sankrityayan\" loading=\"lazy\" class=\"rounded-circle\"\/><\/p>\n<p>                                <\/a>\n                                <\/div>\n<\/p><\/div>\n<p>I specialize in reviewing and refining AI-driven research, technical documentation, and content related to emerging AI technologies. My experience spans AI model training, data analysis, and information retrieval, allowing me to craft content that is both technically accurate and accessible.<\/p>\n<\/p><\/div>\n<\/p><\/div>\n<p><h4 class=\"fs-24 text-dark\">Login to continue reading and enjoy expert-curated content.<\/h4>\n<p>                        <button class=\"btn btn-primary mx-auto d-table\" data-bs-toggle=\"modal\" data-bs-target=\"#loginModal\" id=\"readMoreBtn\">Keep Reading for Free<\/button>\n                    <\/p>\n\n","protected":false},"excerpt":{"rendered":"<p>While scrolling through your YouTube feed, you might have come to a realization. It\u2019s almost impossible to figure out AI-generated content from humane content. And this problem isn\u2019t limited to YouTube, but has plagued content throughout the internet. With releases like Nano banana, ChatGPT and Qwen pushing the boundaries for what was possible before, it [&hellip;]<\/p>\n","protected":false},"author":1,"featured_media":332609,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[12033],"tags":[24259,7222,26021,13754,158453],"dealstore":[],"offerexpiration":[],"class_list":["post-332608","post","type-post","status-publish","format-standard","has-post-thumbnail","hentry","category-analytics","tag-aigenerated","tag-content","tag-detect","tag-googles","tag-synthid"],"yoast_head":"<!-- This site is optimized with the Yoast SEO plugin v26.4 - https:\/\/yoast.com\/wordpress\/plugins\/seo\/ -->\n<title>How to Detect AI-Generated Content: Google&#039;s SynthID - Som2ny Network<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/fivemor.com\/?p=332608\" \/>\n<meta property=\"og:locale\" content=\"en_US\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"How to Detect AI-Generated Content: Google&#039;s SynthID - Som2ny Network\" \/>\n<meta property=\"og:description\" content=\"While scrolling through your YouTube feed, you might have come to a realization. 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