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随机 IP 生成器

为测试和开发生成随机 IPv4 和 IPv6 地址,并可选择公网或私网范围。

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随机 Hex 生成器

随机 Hex 生成器

在浏览器中即时生成随机十六进制字符串和颜色代码。

IP 地址验证器

IP 地址验证器

验证 IPv4、IPv6 和 CIDR,并显示地址类型与子网详情。

IP 转二进制转换器

IP 转二进制转换器

将 IPv4 地址转换为点分二进制表示,适合子网学习和网络分析。

公司名称生成器

公司名称生成器

为测试、原型和头脑风暴生成随机公司名称。

拆分 PDF

拆分 PDF

将 PDF 文件拆分为单独页面或页面范围。

PDF 签名工具

PDF 签名工具

绘制签名并放到 PDF 任意页面。浏览器内拖动、缩放、下载。

二进制转十六进制转换器

二进制转十六进制转换器

将二进制值转换为十六进制输出。

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Random IP Generator

When testing network applications, you need realistic but non-routable IP addresses for your test data. This tool 生成s random IPv4 and IPv6 addresses with control over whether they're public or private ranges, making it perfect for populating test databases, mocking network scenarios, or simulating geographically diverse traffic.

IPv4 and IPv6 support

IPv4 addresses are 32-bit (like 192.168.1.1), while IPv6 addresses are 128-bit (like 2001:0db8:85a3:0000:0000:8a2e:0370:7334). Both 格式化s are valid on modern networks. Choose IPv4 for legacy compatibility testing or IPv6 for testing modern network infrastructure.

Public vs. private ranges

Private IP addresses (like 192.168.x.x, 10.x.x.x, 172.16-31.x.x) are reserved for internal networks and never routed on the public internet. Public addresses are routable globally. For testing internal services, private addresses are more realistic; for testing firewall rules and external integrations, public addresses might be better. This tool lets you specify which you need.

Batch generation

生成 up to 100 IP addresses at once. This is essential when testing large datasets—imagine testing a log analyzer or firewall rule set; you'll want diverse addresses to verify behavior. Copy all addresses and paste into your test configuration.

Network testing scenarios

Test geoIP lookups with diverse public addresses. Simulate internal corporate networks with private addresses. Verify that your application rejects invalid ranges and handles both IPv4 and IPv6. Test rate limiting and access control that's based on IP addresses. Populate network traffic simulators with realistic-looking addresses.

Realistic test data

Random IP generation is more realistic than using hardcoded addresses. It exposes bugs where code has implicit assumptions about IP 格式化 or range, and it ensures your test suite covers a wider variety of scenarios.