Limpiador y Normalizador de Datos de Producto
Detecta y corrige campos faltantes, formato inconsistente, SKUs duplicados y problemas de codificación en tus datos de producto importados antes de generar contenido.
Data Audit
Funcionalidades
Missing Field Detection
AI scans your catalog for empty titles, missing SKUs, blank descriptions, and incomplete product data. Highlights gaps before you generate.
Duplicate SKU Finder
Identifies duplicate SKUs, near-duplicate titles, and potential product overlaps that could cause catalog confusion.
Format Normalization
Inconsistent capitalization, mixed units (cm/inches), price format variations — AI normalizes everything to your preferred standard.
Encoding Fix
Broken characters, HTML entities in text, Unicode issues — AI detects and fixes encoding problems from CSV imports.
Cómo funciona
Upload or Select Catalog
Upload CSV/Excel or select an existing imported catalog to clean.
Run Data Audit
AI scans all products for issues across all fields.
Review & Apply Fixes
See all issues categorized by severity. Apply fixes individually or in bulk.
Ejemplo
Data Cleaning
Input
Catalog with 500 products imported from mixed sources
Output
Data Quality Report: 🔴 Critical: 23 products missing titles 🔴 Critical: 8 duplicate SKUs found 🟡 Warning: 67 products missing images 🟡 Warning: 142 inconsistent price formats ($XX vs XX.XX) 🟢 Info: 31 products with HTML entities in text Auto-fix available for 271 of 271 issues. Apply all?
Preguntas frecuentes
Does it fix issues automatically?
It suggests fixes for all detected issues. You can apply them individually, by category, or all at once with one click.
Does it handle encoding issues?
Yes. Broken characters, HTML entities, and Unicode problems from CSV imports are detected and fixed.
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Clean Data = Better Content
Fix data issues before generating. Free data cleaner.