CSV 查看器
查看、编辑、排序和导出 CSV 文件
上传 CSV
Drop CSV file here or click to browse
使用方法
上传您的文件
拖放文件或点击浏览。您的文件留在浏览器中。
调整设置
配置选项以获得您所需的精确结果。
下载结果
即时处理并下载您的文件——无需等待，无需上传至服务器。
为什么使用此工具
100% 免费
没有隐藏费用，没有付费等级——所有功能完全免费。
无需安装
完全在浏览器中运行。无需下载或安装任何软件。
隐私且安全
您的数据永远不会离开您的设备。不会上传至任何服务器。
支持移动设备
完全响应式设计——在手机、平板或桌面电脑上均可使用。
您的文件保持私密
此工具完全在您的浏览器中处理文件。不会上传至任何服务器——您的数据永远不会离开您的设备。
- 无服务器上传——100% 客户端处理
- 不存储数据——关闭标签页时文件即被丢弃
- 无需账号——无需注册即可立即使用
CSV Viewer: Open and Explore CSV Data Files in Your Browser
Key Points
- CSV (Comma-Separated Values) is the universal data exchange format supported by all spreadsheet software
- View, sort, and search large CSV files without installing Excel or Google Sheets
- Handles various delimiters (comma, tab, semicolon) and character encodings automatically
CSV files are everywhere—data exports, database dumps, analytics reports, and API responses. While spreadsheet software can open them, you don't always have it installed or want to wait for it to load. This browser-based CSV viewer opens files instantly, displays data in a clean table, and lets you sort and search without any software installation.
100K+
Rows handled in browser
Common Use Cases
Quick Data Inspection
Open a CSV export from your database, CRM, or analytics tool to quickly check the data structure, column headers, and sample values without opening Excel.
Data Validation
Verify that a CSV file is properly formatted before importing it into another system—check for missing values, correct column counts, and encoding issues.
Sharing Data Previews
View CSV files received from colleagues or clients to understand the data format and contents before deciding how to process them.
Working on Shared Computers
Open CSV files on computers where you don't have spreadsheet software installed—library computers, borrowed laptops, or minimal work environments.
CSV Tips
If columns appear merged, the file may use semicolons or tabs instead of commas—try switching the delimiter setting.
For files with special characters (accented letters, CJK text), ensure UTF-8 encoding is selected for correct display.
Use the search feature to find specific values across large datasets rather than scrolling through thousands of rows.
Sort by columns to quickly identify outliers, duplicates, or missing data in your dataset.
All CSV processing happens locally in your browser using PapaParse. No data is uploaded to any server, ensuring complete privacy of your data files.