明眼人 Good Eye

About Good Eye

Good Eye predicts where people are likely to look first in an image, and in what order. It works on photos, posters, ads, social posts and screenshots, so you can check a design quickly before it goes out.

How it works

When you add an image, our server runs machine-learning models that estimate visual attention. They weigh the things that tend to pull the eye (faces, the main subject, strong colour and contrast, dense text) and combine them into an attention heat map and a likely looking order.

Good Eye makes a prediction: a statistical estimate of first-glance attention. It isn't lab eye-tracking, and it can't tell you how one particular person will look at your image. Use it as an early signal, and test with real people when the stakes are high.

Reading your results

Heat map

Warmer, brighter areas are where attention is most likely to land. Cooler, dimmer areas are more likely to be overlooked.

Looking order

Numbered points (1 → 2 → 3…) show the likely order of glances, joined into a path: what catches the eye first, then second, and so on.

Attention clarity

A score from 0 to 100 for how clearly the image has one focal point. A high score means one spot dominates. A low score means attention is scattered.

Check a spot

Draw a box around your logo, headline or call to action to see how much of the attention it gets, and whether people see it early or are likely to miss it.

Compare two versions

Put two versions side by side and draw a box on either one. The box appears on both, so you can see which version gets each element noticed sooner.

What works best

Good Eye works best on one clear image at a time, such as a poster, an ad, a product shot or a page mock-up. Use the exported design at full size rather than a small thumbnail. Comparing two versions side by side is a good way to see which one has the clearer focal point.

Privacy

Your image is processed on our server and saved privately to your account history, where only you can see it. You can delete any analysis at any time. The Privacy Policy has the details.

Questions

Is my image uploaded anywhere?

Yes, to our server, which produces the result. It's then saved privately to your account history so you can come back to it. Only you can see it, and you can delete it whenever you like.

Is Good Eye free?

Your first 15 checks are free when you sign up. After that you can buy a credit pack, and those credits never expire.

Is this real eye-tracking?

No. Machine-learning models predict where people are likely to look. Treat it as a quick first check.

Which languages does it support?

English and Traditional Chinese (繁體中文). Switch between them with the button in the top bar.

Who made it?

Good Eye is made by Kinoko Studio, a creative studio in Hong Kong.

Support

For help, questions or feedback, email [email protected].

Try Good Eye

關於明眼人

明眼人會預測人們看一張圖片時最先看哪裏,以及之後的觀看次序。相片、海報、廣告、社交貼文和截圖都適用,讓你在設計推出前快速檢查一次。

運作原理

你加入圖片後,我們的伺服器會用機器學習模型估算視覺注意力。模型會衡量通常吸引目光的元素(人臉、主體、強烈的顏色與對比、密集的文字),再合成注意力熱力圖和最可能的觀看次序。

明眼人給出的是預測,即對「第一眼注意力」的統計估算。它不是實驗室的眼動追蹤,也無法告訴你某一個人會怎樣看你的圖片。請把它當作早期參考;如果決定影響重大,仍然要找真人測試。

如何解讀結果

熱力圖

顏色越暖、越亮的地方,越可能吸引目光;顏色較冷、較暗的地方,較可能被忽略。

觀看次序

編號的點(1 → 2 → 3……)連成一條路徑,顯示最可能的觀看次序:先看哪裏,再看哪裏。

注意力清晰度

0 至 100 分,反映圖片有沒有一個清楚的焦點。分數高,代表有一處明顯主導;分數低,代表注意力分散。

檢查位置

在標誌、標題或行動按鈕周圍拉一個框,看看它得到多少注意力,以及大家會很早看到它,還是可能錯過。

比較兩個版本

把兩個版本並排,在任一版本拉一個框,兩邊都會出現同一個框,讓你看清哪個版本令每個元素更早被看到。

最適合的圖片

每次分析一張清晰的圖片效果最好,例如海報、廣告、產品照或網頁草圖。請使用完整尺寸的匯出檔,不要用細小的縮圖。想知道哪個版本焦點更清楚,可以把兩個版本並排比較。

私隱

你的圖片會在我們的伺服器上處理,並私密存進你的帳戶紀錄,只有你看得到。你可以隨時刪除任何一次分析。詳情請看私隱政策。

常見問題

我的圖片會上載嗎?

會。圖片會上載到我們的伺服器來產生結果,然後私密存進你的帳戶紀錄,方便你回看。只有你看得到,也可以隨時刪除。

明眼人是免費的嗎?

註冊後首 15 次分析免費。之後可以購買點數包,點數永不過期。

這是真正的眼動追蹤嗎?

不是。機器學習模型會預測人們可能先看哪裏,請把它當作快速的初步檢查。

支援哪些語言?

英文和繁體中文。用頂部的按鈕就可以切換。

由誰製作?

明眼人由香港創意工作室 Kinoko Studio 製作。

支援

如需協助、有任何疑問或意見,請電郵至 [email protected]。

試用明眼人