数据月份 2026-07
Backgroundcut
backgroundcut.co
Backgroundcut
Automatic AI Background Removerbackgroundcut.co
访问官网

据 AlphaMoat 统计,2026-07 Backgroundcut(backgroundcut.co)月访问量为 13,482,环比 +109.2%,在全部 17,409 个有流量数据的 AI 网站中排名第 8,308 位,在「编程」分类(1,786 个)中排名第 874 位;最大访问来源为美国(占 70.3%)

月访问量 · 2026-07
1.3万+109.2%
全站排名(17,409 个)
#8,308
「编程」排名(1,786 个)
#874
最大市场
美国70.3%

Backgroundcut 是什么

Automatic AI Background Remover is represented by backgroundcut.co. Automatically remove background from image in seconds online. Fastest automatic AI background remover with API support.

近 12 个月流量趋势

悬停查看月度数值
最新 1.3万环比+109.2%同比+0.0%
-6,255.361.3万1.9万25-0825-0925-1126-0126-0326-0526-07
2025-08
1.7万
+28.9%
2025-09
1.0万
-41.2%
2025-10
1.0万
+2.8%
2025-11
1.1万
+1.8%
2025-12
1.1万
+2.0%
2026-01
1.3万
+16.5%
2026-02
9,041
-28.8%
2026-03
7,893
-12.7%
2026-04
1.2万
+52.4%
2026-05
8,950
-25.6%
2026-06
6,445
-28.0%
2026-07
1.3万
+109.2%

访问来源 Top 5 分布

2026-07 · 占总访问量比例,倒序排列
美国
9,48070.3%
菲律宾
1,65212.3%
印度尼西亚
1,38810.3%
印度
5143.8%
加拿大
2892.1%

「编程」分类下的热门产品

点击查看详情,或「+ 对比」与 Backgroundcut 并排对比
Lovable
Lovable
lovable.dev
3387.6万
-1.4%

Lovable is represented by lovable.dev. Build apps, websites, and digital products faster using Lovable’s no-code and AI-powered platform, no deep coding skills required.

+ 对比
Perchance AI
Perchance AI
perchance.org
2685.0万
+5.1%

创建和共享随机生成器以调整项目的可能性和权重,以自定义单词属性,例如大写和复数形式

+ 对比
Cursor
Cursor
cursor.com
2181.0万
-2.2%

Fast, token-efficient frontier-level coding model

+ 对比
Discover gists
Discover gists
gist.github.com
1472.2万
+6.8%

Discover gists 是 Gist 旗下与 gist.github.com 对应的产品官网,主要提供:GitHub Gist: instantly share code, notes, and snippets.

+ 对比
Netlify
Netlify
netlify.com
1472.1万
+2.5%

Netlify is represented by netlify.com. Create with AI or code, deploy instantly on production infrastructure. One platform to build and ship.

+ 对比
Google Antigravity
Google Antigravity
antigravity.google
1444.2万
-19.3%

Run and monitor several coding agents at once in an IDE

+ 对比

数据月份:2026-07 · 访问量为第三方流量估算,按月聚合更新,适合看量级与趋势。同一产品的多个域名已合并统计。口径说明见数据方法