CSViser

This tool provides an instant, web-based solution for validating, cleaning, and transforming CSV and XLSX data files without requiring software installation or spreadsheet expertise. Its main features include strict adherence to RFC 4180 standards for data validation, one-click fixes for common issues such as encoding errors, line-ending inconsistencies, and null value discrepancies, as well as deduplication through exact and fuzzy matching techniques, and normalization of various data formats including dates, currencies, and contact information, making it suitable for data analysts, database managers, and developers. It solves problems related to data quality, formatting inconsistencies, duplicate records, and data cleansing, enabling users to prepare clean, organized datasets efficiently for analysis, reporting, or integration.

CSViser 可以在以下位置找到： No-Code Database & Spreadsheet Apps 类别。

与 CSViser 最相似的产品有：

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细节

定价: $9/mo

消费者类型: B2B

注册即可查看所有指标注册（免费）

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CSViser 主要特点

API Access
Developers can process files using a simple API with no user interface, keeping files in memory and secure.
Validation
The system checks your files for errors, warnings, and info messages with simple explanations.
Data Export
Download the cleaned data as CSV, Excel, JSON, or Markdown table, with automatic conversion if needed.
File Upload
You can upload CSV or XLSX files of any size with automatic detection of delimiter and encoding.
How It Works
First, upload your file, then review validation and issues, fix problems, and finally download the cleaned file.
Deduplication
Remove exact duplicate rows or find near-duplicates with fuzzy matching to catch typos and similar data.
Fixing Issues
You can fix common problems with one click, like encoding issues, line endings, blank rows, extra spaces, and null values.
Column Conversion
Normalize columns by converting dates, numbers, currencies, emails, phone numbers, and URLs to a standard format.
Data Transformation
Sort, filter, split columns, rename headers, hide sensitive information, split files, or merge files by key.

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