The Name Parser splits full names into structured fields (first, middle, last, suffix), detects and separates joint names ('John and Mary Smith'), normalizes casing, and flags suspicious or fake entries — all in a single pass.
Name parsing is the process of decomposing a full name string into its constituent parts — first name, middle name, last name, and suffix — while handling special cases like joint names, inverted formats, and cultural variations. BackOffice Scripts' Name Parser returns 10 fields per record: first_name, middle_name, last_name, suffix, is_joint, second_person_first, second_person_last, standardized_name, is_suspicious, and parse_confidence. This structured output is essential for deduplication, mail merge, regulatory reporting, and CRM data management.
Upload a CSV with a 'name', 'input_name', or 'full_name' column.
The AI model parses each name, handling formats like 'Last, First', 'First Last', 'First & Second Last', and more.
Joint names are detected and split into primary and secondary person fields.
Suspicious entries (test data, placeholder names, obvious fakes) are flagged with is_suspicious = true.
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.
Standardize borrower data, normalize addresses for HMDA compliance, and classify entities across your loan pipeline — all from a simple CSV upload. Processing that used to take days now takes minutes.
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.
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.
Loan files arrive from dozens of sources with inconsistent formats. BackOffice Scripts normalizes borrower names, standardizes addresses, and parses joint applications — so your LOS data is clean from day one.
Undeliverable mail wastes postage and kills campaign ROI. BackOffice Scripts standardizes addresses to USPS format, parses recipient names, and cleans your list — so every piece reaches its destination.
1 credit per record
Max 8,500 rows per batch. View credit packs
'John Smith', 'Smith, John A.', 'JOHN A SMITH JR', 'John and Mary Smith', 'The Smith Family', 'Dr. Jane Smith-Jones III' — and hundreds of other variations.
It flags common test patterns ('Test User', 'John Doe', 'AAAA BBBB'), single-character names, and statistically improbable character sequences.
Yes. Suffixes are parsed into a dedicated suffix field. Supported suffixes include Jr., Sr., I, II, III, IV, Esq., MD, PhD, and more.
1 credit per record. Each record gets 10 structured output fields.
Start with 100 free records. No credit card required.