clickworker 记录了 1,861,149 月访问量，月度环比增长为 +0.5%，定价为定价请咨询。i18n Web 记录了 0 月访问量，增长率为 0%，定价为免费增值。
clickworker runs a global crowd of over 10 million registered freelancers in 136 countries to collect, label, validate and categorize data for AI training, surveys, retail audits and SEO projects.
| 维度 / 指标 | | |
|---|---|---|
| 官方域名 | clickworker.com | i18nweb.com |
| 定价模式 | 定价请咨询 | 免费增值 |
| 月访问量 | 186.11万 (1,861,149) | 0 (0) |
| 月度环比流量变化 | +9574 (+0.5%) | 0 (0%) |
| 主要市场与份额 | 🇺🇸 美国 (27.6%) | 🌐 全球 (—) |
| 直接访问 / 月 | 94.71万 | 0 |
| 用户评分 | 3.9 | 4.2 |
| 支持的平台 | 网站 | 网站 |
clickworker runs a global crowd of over 10 million registered freelancers in 136 countries to collect, label, validate and categorize data for AI training, surveys, retail audits and SEO projects.
Custom image, video, audio and text datasets with human labeling, annotation and validation, delivered with parent company LXT.
Registered freelancers in 136 countries fill microtasks through web, Android and iOS apps, with flexible scaling up or down.
An all-in-one survey tool plus access to a verified respondent pool for external studies and targeted insights.
Real-time point-of-sale data collection, display audits, mystery checks, and usability testing for websites, apps and games.
面向 JSON、Markdown、TXT 文件的 LLM 翻译
把 .json、.md、.mdx、.txt 文件拖到页面上，一次性翻译成所有需要的语言版本。
翻译后 JSON 键名、对象结构与 Markdown 标记依然可以直接使用。
补充产品背景说明，模型就能正确理解含义模糊的专业词汇。
可指定 ID、链接或技术字段等无需翻译的键，保持原样输出。
专注于为 AI 实验室匹配经过审核的人类 RLHF 专家，但提供的一般数据标注服务较少。
面向全球化内容的 AI 本地化与翻译平台
交叉比对 22 个模型、输出一份可信译文的免费 AI 翻译
专注于顶尖领域专家来开展复杂的 RLHF 和前沿 AI 评估，但缺乏普通众包任务。
保留原始排版的全能 AI 文档翻译
AI 初翻 + 人工审核的软件本地化自动流水线
几分钟内将字幕文件翻译成 50 多种语言
Neurooo is an AI-powered translation companion that translates text, files and entire apps into more than 100 languages. Built on generalist large language models rather than translation-only engines, it prioritizes context, tone and readability, and can clean up messy or informal source text as it translates.
Neurooo is an AI-powered translation companion that translates text, files and entire apps into more than 100 languages. Built on generalist large language models rather than translation-only engines, it prioritizes context, tone and readability, and can clean up messy or informal source text as it translates.
