CSVLint helps you to check that your CSV file is readable. And you can use it to check whether it contains the columns and types of values that it should. Just enter the location of the file you want to check, or upload it.

CSV looks easy, but it can be hard to make a CSV file that other people can work with. CSVLint helps you to check that your CSV file is readable. And you can use it to check whether it contains the columns and types of values that it should.

The CSVLint API allows you to validate CSV files for structure and schema compliance. You can use this API to upload a file directly or provide a URL to a CSV and an optional schema. The API will return a JSON response with validation results if requested.

Below are some example CSV files demonstrating different validation scenarios. Each example shows the contents of the CSV file, the expected validation result, and a link to validate it. Click on the badge to view the validation results for each example.

The exact URL is not stored, only the top level domain where the csv and schema files are located. We also generate a unique hash based on the URL and schema combination (if provided). This allows us to recognise repeat requests without retaining the original URLs.

Index Column Heading Required Unique Type Value Constraints Title/Description; 1 CODE_INSEE: Yes: No: String Code INSEE Code INSEE de la commune où les prénoms sont enregistrés à l'état-civil, c'est-à-dire le lieu de naissance. Le lieu de naissance peut être différent du lieu de résidence des parents, comme cela peut être …

CSVLint helps you to check that your CSV file is readable. And you can use it to check whether it contains the columns and types of values that it should. Just enter the location of the file you want to check, or upload it.

Row has a different number of columns than the first row. Location: Row 101 . structure Error - Blank Rows. The row is completely empty. Location: Row 102

https://gist.githubusercontent.com/CharlesNepote/260ad3d3600ec9865586dd0d8f842b6f/raw/d0ea435ae6e5fed428d25c3b62a388ed20444bbb/gfps.json Download schema

The title of the submission. If multiple CSV uploads are desired (e.g. to update data subsequently with another import) this field must not change. 17 tools_used: Yes: No: String Maximum Length: 2500: The tools the researcher used to find the vulnerability.