The Name Classifier uses AI to determine whether each name in your CSV is a person (e.g., 'John Smith') or a business entity (e.g., 'Smith Holdings LLC'). This is the foundational step for segmenting, deduplicating, and routing records correctly.
Name classification is the process of determining whether a name represents a natural person or a business entity. BackOffice Scripts' Name Classifier analyzes each name in a CSV file and returns a boolean is_personal_name field — true for individuals and false for business entities. This classification is critical for insurance underwriting, loan processing, mailing list segmentation, and regulatory compliance, where personal and business records require different treatment.
Upload a CSV file with a column named 'name' or 'input_name'.
The classifier sends each name to a GPT-4o-mini model trained to distinguish personal names from business entities.
Results are returned as a new 'is_personal_name' column — true for people, false for businesses.
Download the enriched CSV with your original data plus the classification column.
Stop spending hours manually cleaning policyholder lists. BackOffice Scripts classifies entities, parses names, and validates contacts from your CSV files — with enterprise-grade security that meets compliance requirements.
Your clients expect clean, standardized data. BackOffice Scripts validates contacts, standardizes addresses, classifies entities, and parses names — so you can deliver higher-quality lists and charge premium prices.
Regulatory filings demand clean, standardized data. BackOffice Scripts automates entity classification, address normalization, and contact validation — with the audit trails and security controls compliance teams require.
Purchased lead lists are notorious for bad data. BackOffice Scripts identifies invalid contacts, classifies names, and scores contact quality — so you only reach out to real prospects.
Duplicate records in your agency management system cause renewal errors, commission disputes, and inaccurate book-of-business reporting. BackOffice Scripts standardizes names so duplicates become obvious.
Dirty CRM data leads to failed campaigns, wasted sales time, and inaccurate reporting. BackOffice Scripts validates contacts, classifies entities, and scores data quality — so your team works with data they can trust.
1 credit per record
Max 8,500 rows per batch. Free with your first 100 credits. View credit packs
The GPT-4o-mini model achieves 98%+ accuracy on standard name formats. Edge cases like DBAs or sole proprietorships using personal names may require manual review.
Yes. The model handles names from most languages and cultural formats. Accuracy is highest for English, Spanish, Chinese, and Hindi name patterns.
No. The Name Classifier gives a simple personal/business boolean. The Entity Type Classifier provides granular categories (Individual, Trust, LLC, Corp, etc.). Use the Name Classifier for quick segmentation and the Entity Type Classifier for detailed classification.
1 credit per record. New accounts get 100 free credits. Additional credits start at $0.03/record with the Starter pack.
Start with 100 free records. No credit card required.