Celebrating 25 years of visual search innovation

庆祝视觉搜索创新 25 周年

We’re celebrating Google Images turning 25 with a look back at some major milestones — and introducing new ways to explore and create visual content. 我们正在庆祝 Google 图片（Google Images）诞生 25 周年，在回顾一些重要里程碑的同时，也推出了探索和创作视觉内容的新方式。

This week marks 25 years since we launched Google Images, beginning the evolution of Search from a text-based experience to one that allows you to visually explore the world. To celebrate this milestone, we’re introducing two new ways to help you explore and create visual content — plus a look back at our major innovations in visual search. 本周标志着 Google 图片上线 25 周年，它开启了搜索从纯文本体验向视觉化探索世界体验的演变。为了庆祝这一里程碑，我们推出了两种帮助您探索和创作视觉内容的新方式，并回顾了我们在视觉搜索领域的主要创新。

Explore images in a whole new way.

以全新的方式探索图片。

Today, we’re introducing a brand new browseable home for Google Images, featuring a dynamic, immersive gallery of images from across the web — updated in real time and intelligently tailored to your unique interests. As you browse and save ideas to your collections, they’ll appear as tabs above the main gallery, making it easy to jump back in and continue exploring based on what inspires you. This will roll out over the coming weeks on desktop in the U.S. in English. Sign in to your Google Account to try it out. 今天，我们为 Google 图片推出了一个全新的可浏览主页，其中包含来自全网的动态沉浸式图片库——它会实时更新，并根据您的独特兴趣进行智能定制。当您浏览并将创意保存到收藏夹时，它们会以标签页的形式出现在主库上方，让您可以轻松返回并根据灵感继续探索。该功能将在未来几周内面向美国桌面端用户（英语版）推出。登录您的 Google 账号即可体验。

Create new images right in Search.

直接在搜索中创作新图片。

Sometimes, the perfect image is out there on the web, waiting to be found. But other times you might have a highly specific vision where an image doesn’t yet exist. To help bring those unique ideas to life, we’re bringing image generation directly into AI Overviews in Search. Using our latest Nano Banana model, this update transforms a simple text prompt into a high-quality, custom visual made completely from scratch, seamlessly bridging the gap between imagination and reality. Image generation in AI Overviews will start to roll out over the coming weeks in English, for all regions that currently support image creation in AI Mode. 有时，完美的图片就在网上等着被发现。但有时，您可能有一个非常具体的构想，而相应的图片尚不存在。为了帮助实现这些独特的创意，我们将图像生成功能直接引入了搜索中的 AI 概览（AI Overviews）。通过使用我们最新的 Nano Banana 模型，此次更新可以将简单的文本提示转化为从零开始制作的高质量定制视觉内容，无缝连接想象与现实。AI 概览中的图像生成功能将在未来几周内以英语推出，适用于目前支持 AI 模式图像创作的所有地区。

Both of these updates are built on 25 years of innovation to make the world’s visual information instantly accessible and useful. To see how we got here, let’s take a look back at some of the major launches that transformed how we search with — and for — images. 这两项更新都建立在 25 年的创新基础之上，旨在让全球的视觉信息变得触手可及且实用。为了了解我们是如何走到今天的，让我们回顾一下那些改变了我们“使用图片搜索”以及“搜索图片”方式的重大发布。

2001: Google Images When Jennifer Lopez’s iconic green Versace dress broke the internet in 2000, we realized that the standard search page at the time — a list of blue text links — simply wasn’t enough. People didn’t just want to read about the dress — they wanted to see it. So in July 2001, we launched Google Images, making it possible for the first time to search and instantly explore visual content from across the web. 2001 年：Google 图片 当詹妮弗·洛佩兹（Jennifer Lopez）那件标志性的范思哲（Versace）绿色礼服在 2000 年引爆网络时，我们意识到当时标准的搜索页面（一串蓝色文本链接）已经远远不够了。人们不仅想阅读关于这件礼服的信息，更想亲眼看到它。因此，在 2001 年 7 月，我们推出了 Google 图片，首次实现了搜索并即时探索全网视觉内容的可能。
2009: Similar Images The Similar Images feature made it possible to find pictures without relying on text alone. If you searched for “bow,” you might see images of hair bows and bows and arrows. By clicking the one you had in mind and tapping “find similar images,” you could see more of what you wanted without typing a whole new query. 2009 年：相似图片 “相似图片”功能让人们无需仅依赖文本即可找到图片。如果您搜索“bow”（弓/蝴蝶结），您可能会同时看到发带和弓箭的图片。通过点击您心仪的那张图片并点击“查找相似图片”，您无需输入全新的查询词，就能看到更多您想要的内容。
2011: Search by Image We launched Search by Image to change how you navigate the web — moving beyond text to let the image do the work for you. By simply uploading an image or pasting its URL directly into the search bar, visuals became search terms. This allowed you to quickly identify the original source, track down where the photo appeared across the web or discover visually similar content. 2011 年：以图搜图 我们推出了“以图搜图”功能，旨在改变您浏览网络的方式——超越文本，让图片为您完成搜索工作。只需上传一张图片或将其 URL 直接粘贴到搜索栏中，视觉内容就变成了搜索词。这使您能够快速识别原始来源、追踪照片在网络上的出现位置，或发现视觉上相似的内容。
2018: Google Lens in Search Google Lens makes your everyday life searchable, letting you use your smartphone camera to ask about the world around you. With Lens, you can identify objects, translate text and pull up product links in real time without typing a query into the search box. 2018 年：搜索中的 Google Lens Google Lens 让您的日常生活变得可搜索，让您可以使用智能手机摄像头来询问周围的世界。借助 Lens，您可以实时识别物体、翻译文本并调出产品链接，而无需在搜索框中输入查询词。
2022: Multisearch in Lens Multisearch marked a significant step into the era of multimodal search. Now, you can search with text and images at the same time, like snapping a photo of a unique landmark and adding “what inspired this design.” Or taking a picture of a sleek dining table you saw on social and typing “coffee table” to find a similar piece for your own home. 2022 年：Lens 多重搜索 多重搜索标志着迈向多模态搜索时代的重要一步。现在，您可以同时使用文本和图片进行搜索，例如拍下一处独特的地标建筑并加上“这个设计的灵感来源是什么？”。或者拍下一张在社交媒体上看到的时尚餐桌，然后输入“咖啡桌”，为您的家寻找类似的家具。
2024: Circle to Search To help you search anything on your Android phone screen, we built Circle to Search. With a simple gesture — like circling, highlighting, scribbling or tapping — you can select what you’re curious about on your phone screen and get more information right in the moment, without switching apps. Circle to Search is available on more than 580 million Android devices around the world. 2024 年：搜索圈（Circle to Search） 为了帮助您搜索 Android 手机屏幕上的任何内容，我们构建了“搜索圈”。通过简单的手势（如圈选、高亮、涂鸦或点击），您可以选中手机屏幕上令您好奇的内容，并立即获取更多信息，无需切换应用程序。“搜索圈”目前已覆盖全球超过 5.8 亿台 Android 设备。
2025: Lens + AI Mode Last year, we brought together the multimodal power of Lens with AI Mode in Search so you can ask even more nuanced questions that require deeper reasoning. When you upload or snap a photo, AI Mode can process the entire scene. Using a “visual image fan-out” technique, it breaks a single image search into dozens of sub-queries to understand the full visual context and deliver relevant results. 2025 年：Lens + AI 模式 去年，我们将 Lens 的多模态能力与搜索中的 AI 模式相结合，让您可以提出需要更深层推理的细微问题。当您上传或拍摄照片时，AI 模式可以处理整个场景。通过使用“视觉图像扇出”（visual image fan-out）技术，它将单张图片搜索拆解为数十个子查询，以理解完整的视觉语境并提供相关结果。
2025: Search Live Building on our advanced multimodal capabilities, Search Live lets you share your phone’s live camera feed while having an interactive voice conversation in AI Mode — using video input to capture motion and the full context of your surroundings. It’s like having a video call with Search — great for everything from help in the kitchen to troubleshooting tricky equipment. 2025 年：实时搜索（Search Live） 基于我们先进的多模态能力，实时搜索让您可以在 AI 模式下进行交互式语音对话的同时，分享手机的实时摄像头画面——利用视频输入来捕捉动态和周围环境的完整语境。这就像与搜索进行视频通话一样，无论是厨房烹饪协助还是排查复杂的设备故障，都非常实用。
2025: Visual Results in AI Mode To make visual exploration feel more natural, we introduced an entirely new way to explore, imagine and shop using AI Mode in Search. You can describe exactly what you have in mind in a conversational way — like asking for “barrel jeans that aren’t too baggy” — to instantly pull up a grid of visual inspiration and shoppable products. 2025 年：AI 模式下的视觉结果 为了让视觉探索感觉更自然，我们引入了一种全新的方式，利用搜索中的 AI 模式进行探索、想象和购物。您可以用对话的方式准确描述您的想法——例如询问“不太宽松的桶形牛仔裤”——即可立即调出一个包含视觉灵感和可购买产品的网格页面。
2026: Circle to Search Multi-Object Recognition Circle to Search now lets you explore multiple objects within a single image all at once, using the visual image fan-out technique. You can instantly deconstruct and shop for an e… 2026 年：搜索圈多物体识别 “搜索圈”现在允许您利用“视觉图像扇出”技术，一次性探索单张图片中的多个物体。您可以立即拆解并购买……