Solutions
CSV Validation Tool for Business
Validate CSV files automatically with schema checks, row-level rules, statistics, and anomaly detection. Catch formatting errors, bad values, and structural changes before they break your systems.
The challenge
CSV files look simple until they break something
CSV is the lingua franca of data exchange, but it comes with no contract. A missing header, an extra comma, a changed encoding, or a row with too many columns can crash a pipeline or pollute a database.
A CSV validation tool checks every file against a published contract so only clean, well-formed data reaches your downstream systems.
What VendorGate validates in CSV files
- Delimiter, encoding, line terminator, and quote handling
- Required, missing, and unexpected columns
- Data types: string, number, date, boolean, email, URL, UUID
- Value ranges, allowed values, and regex patterns
- Row count, duplicate detection, and statistical anomalies
Beyond CSV
The same contract engine validates every source
VendorGate also validates Excel, JSON, XML, fixed-width files, REST APIs, and database queries. After normalization, the validation logic is the same.
FAQ
Frequently asked questions
- What can a CSV validation tool detect?
- A CSV validation tool can detect wrong delimiters, bad encodings, missing or extra columns, malformed rows, incorrect data types, out-of-range values, duplicates, and statistical anomalies.
- Does VendorGate only validate CSV files?
- No. VendorGate validates CSV, Excel, JSON, XML, fixed-width, API payloads, and database results. CSV is one of the most common formats we handle.
- Can I validate CSV files without writing code?
- Yes. VendorGate provides a visual contract builder. You define columns, data types, rules, and thresholds, and the platform validates every incoming file automatically.
- What happens when a CSV fails validation?
- Failed CSVs are quarantined and the configured contacts receive alerts. Detailed findings show exactly which rows and rules failed.
Validate your CSV files free
Start with one pipeline and validate every CSV file before it reaches your systems.