Stop Import Failures Before They Happen.
Validate Salesforce, HubSpot & Database CSVs in Seconds.
Salesforce rejects 20–30% of CSV imports due to validation errors. Data Validator catches these errors locally in seconds—before you waste hours on failed uploads. Supports 12 validation rules, 20+ data types (email, phone, NPI, ICD-10), and 15+ CRM/database presets. Learn more about why CRMs reject CSV imports or how to validate before upload.
Free forever. No uploads, no signup. Works with Salesforce, HubSpot, PostgreSQL, MySQL, and custom validation schemas.
What is Data Validation?
Data validation is the process of checking data accuracy and quality before importing to CRMs or databases. It verifies required fields exist, data types match (emails are valid, phones have correct format), values stay within allowed ranges, and no duplicate entries exist. Unlike Excel's Data Validation (limited to 256 rules, no regex, crashes on large files), Data Validator uses 12 rule types with 20+ data types to validate millions of rows in seconds—entirely in your browser.
Why Salesforce Rejects 20–30% of CSV Imports
The Old Way: Trial and Error
- • Upload 50K contact CSV to Salesforce
- • Wait 10–15 minutes for import to process
- • Import fails: "Email exceeds 80 characters" on row 12,487
- • Download file, manually fix errors in Excel
- • Re-upload, wait another 15 minutes
- • Fails again: "Phone number invalid format" on row 23,901
- • Repeat 3–5 times until all errors found
- • Total time: 2–3 hours of failed attempts
The New Way: Validate Before Upload
- • Upload CSV to Data Validator (in browser, no server)
- • Select "Salesforce Contacts" preset (auto-configures rules)
- • Validation completes in 8 seconds for 50K rows
- • See all 237 errors instantly with row/column locations
- • Export failed rows to CSV, fix in bulk
- • Re-validate cleaned file in 8 seconds
- • Export passed rows (49,763 valid contacts)
- • Import to Salesforce: first-attempt success
Time & Cost Savings
• Upload attempt 1: 15 min wait + fail
• Manual error fixing: 30 min in Excel
• Upload attempts 2–4: 45 min of re-uploads
• Total: 2–3 hours per file
• Data analyst cost: $50–75/hour
• Cost per import: $100–225
• Validation: 8 seconds for 50K rows
• Export failed rows: 2 seconds
• Bulk fix errors: 10 min
• Re-validate: 8 seconds
• Total: ~11 minutes per file
• Free tool (browser-based)
• Cost per import: $0 + 11 min labor
Quick Comparison: Why Data Validator?
TL;DR — What You Need to Know
- 12 validation rules: Required, dataType, length, range, regex, enum, uniqueness
- 20+ data types: Email, phone, URL, NPI, ICD-10, CPT, SSN, date formats
- 15+ CRM presets: Salesforce, HubSpot, PostgreSQL, MySQL ready-to-use
- 10M+ rows: ~37s full schema · ~500K rows/sec simple validation
- 100% private: All processing in browser, no uploads, HIPAA-ready
- Export options: Failed rows, passed rows, validation reports (JSON)
Ready to Validate Your File?
Upload your CSV and see errors in seconds. No signup, no installation, no uploads to servers.
How Do I Validate CSV Files Before Salesforce or HubSpot Import?
Salesforce and HubSpot reject imports when data doesn't match field requirements (email format, field length, required fields, data types). Data Validator pre-validates your CSV against CRM schemas using 12 validation rules and 20+ data types. Select a preset (Salesforce Contacts, HubSpot Leads, etc.) and validate in seconds—catch errors before upload, export failed rows for fixing, dramatically reduce import failure rates. Read our guide on removing duplicate emails before CRM import for complementary pre-import cleanup. Works with CSV/Excel files up to 10M+ rows, entirely in your browser with no uploads.
12 Validation Rules + Professional Features
Why Excel Data Validation Fails for CRM Imports
Required Field Validation
Ensures critical fields (Email, LastName, Company) are not empty. Marks missing required fields as blocking errors that prevent import. Salesforce requires Email+LastName for Contacts, Company+LastName for Leads. Data Validator flags all missing required fields in one pass.
Data Type Validation (20+ Types)
Validates 20+ data types: email (RFC 5322 compliant), phone (US/international), URL (protocol validation), date (MM/DD/YYYY, ISO), integer, decimal, boolean, NPI (10-digit National Provider ID), ICD-10 (diagnosis codes), CPT (procedure codes), SSN (###-##-####), ZIP (5-digit or ZIP+4), taxonomy codes, gender codes, claim amounts.
Length Constraints (Min/Max)
Validates character length limits. Salesforce Email max: 80 chars, LastName max: 80 chars, Company max: 255 chars. Data Validator flags values exceeding limits before import rejection. Also supports minimum length requirements (e.g., phone must be at least 10 digits).
Range Validation (Numeric Min/Max)
Validates numeric ranges. Examples: Age 18–120, Quantity > 0, Discount 0–100%, Annual Revenue > $0. Prevents database constraint violations and business logic errors. Supports both inclusive and exclusive ranges with custom error messages.
Uniqueness Checking Across 10M+ Rows
Detects duplicate values in columns requiring unique entries (Email, Account ID, Customer Number). Uses hash-based algorithm to check 10M+ rows in seconds. Flags all duplicates with row numbers for bulk cleanup. HubSpot requires unique emails—duplicates cause import failures.
15+ CRM/Database Presets
Pre-configured validation schemas for Salesforce (Contacts, Leads, Accounts, Opportunities), HubSpot (Contacts, Companies, Deals), PostgreSQL COPY, MySQL LOAD DATA, healthcare HIPAA formats. One-click preset loading auto-configures all validation rules—no manual setup.
Data Validator vs Excel vs Manual Checking
Real-World Validation Examples
Salesforce: Contact Import Validation
SaaS company with 87K prospect contacts from trade show lead capture, webinar signups, and trial users. Need to import to Salesforce for nurture campaigns. Previous manual imports failed 3 times due to validation errors.
- • Upload 87K contacts to Salesforce
- • Wait 25 minutes for import process
- • Fail: "1,247 emails exceed 80 chars"
- • Manual cleanup in Excel: 45 minutes
- • Re-upload, wait 25 minutes
- • Fails: "523 LastName missing"
- • Another manual fix: 30 minutes
- • Third upload attempt: 25 minutes
- • Fails: "89 invalid email formats"
- • Total: 3.5 hours, 3 failed attempts
- • Upload CSV to Data Validator
- • Select "Salesforce Contacts" preset
- • Validation: 14 seconds for 87K rows
- • Found 1,859 errors across all categories:
- • - 1,247 emails too long (>80 chars)
- • - 523 missing LastName
- • - 89 invalid email formats
- • Export 1,859 failed rows to CSV
- • Bulk fix errors: 20 minutes
- • Re-validate: 14 seconds
- • Import to Salesforce: first-attempt success
Medical billing company. 250K insurance claims/month. 8% clearinghouse rejection rate (NPI errors, invalid ICD-10/CPT codes).
B2B agency migrating 42K company records to HubSpot. Previous migration attempt took 8 weeks due to data quality issues.
Want to Understand How This Works Under the Hood?
Expand any section below to see the technical details behind Data Validator's validation engine, CRM presets, and healthcare compliance features.
Why Excel Data Validation Has a 256 Rule Limit
Blocking vs Warning Severity Levels
CRM Presets: How Salesforce/HubSpot Schemas are Auto-Configured
Web Workers: Processing 10M Rows Without Freezing Your Browser
Healthcare Data Validation: NPI, ICD-10, CPT Codes
Perfect For
- • Salesforce/HubSpot CRM imports (50K–10M contacts)
- • Database bulk loads (PostgreSQL COPY, MySQL LOAD DATA)
- • Healthcare claims validation (NPI, ICD-10, CPT codes)
- • Marketing list cleanup before email campaigns
- • Financial data validation (account numbers, amounts)
- • E-commerce product imports with SKU validation
- • Customer data migration between platforms
- • Data warehouse ETL validation (pre-load checks)
- • Compliance audits (GDPR, HIPAA, SOX data quality)
- • Partner data exchange validation (B2B file feeds)
Not Ideal For
- • Real-time API validation (use backend validators)
- • Automated scheduled validation (use cron jobs + scripts)
- • Binary file validation (images, videos, PDFs)
- • Machine learning model validation (use ML frameworks)
- • Password-protected files (decrypt first)
- • Complex multi-column business logic rules
- • Geographic coordinate validation (use GIS tools)
- • Time series data anomaly detection (use statistical tools)
- • Natural language processing validation (use NLP libraries)
- • Blockchain transaction validation (use blockchain validators)
Performance Benchmarks
10M Rows, 5 Validation Rules: 37 Seconds (Full Schema)
• CSV parsing: 8.2 seconds (PapaParse streaming)
• Validation execution: 21.7 seconds (5 rules × 10M rows)
• Uniqueness checking: 4.9 seconds (hash table for Email column)
• Error report generation: 2.2 seconds (found 147,283 errors across all rules)
Frequently Asked Questions
How does Data Validator prevent Salesforce import failures?
What validation rules does Data Validator support?
Can Data Validator handle healthcare data validation?
How fast can Data Validator process large files?
Is my data private when using Data Validator?
What file formats does Data Validator support?
How do CRM presets work? Which platforms are supported?
Can I export failed rows to fix them separately?
What browsers are supported?
What happens when validation hits the 100 blocking-error short-circuit?
Why We Built This
SplitForge started as a weekend CSV splitter for dealing with Excel's row limit. But the most common question we kept getting from users wasn't about splitting — it was: "How do I know if my file will actually import successfully?"
The answer at the time was: try it and see. Upload, wait 20 minutes, get a cryptic error on row 12,487, fix it, repeat. For Salesforce imports, for HubSpot, for database bulk loads — the feedback loop was brutal.
The hard constraint we set: files never leave your browser. Healthcare teams and finance teams can't upload patient records or transaction data to a third-party server just to check formatting. The validation engine had to run entirely client-side, at scale, with no compromise on that principle.
— SplitForge Team · Built in 2026 · Melbourne, FL
Common Questions Before You Start
Is this replacing my backend validation?
Is this safe for HIPAA data?
I have a Python/Great Expectations setup already. Why would I use this?
Does this work offline?
Related Tools for Data Workflow
Data Cleaner →
Standardize and clean messy data before validating. Fix email formats, normalize phone numbers, remove HTML tags—bulk cleanup before your validation pass.
Data Profiler →
Analyze CSV data quality before validation. See column statistics, detect anomalies, and identify patterns that inform which validation rules to apply.
Data Masking →
Mask sensitive fields (SSN, credit cards, emails) before sharing with external teams. HIPAA-ready anonymization that keeps data format intact for validation.
Stop Import Failures. Validate in Seconds.
No signup, no installation, no uploads. Start validating your Salesforce, HubSpot, or database imports right now.