Use Case · Finance
Invoice Data Extraction
from CSV with AI
Upload rows of raw invoice descriptions or accounting notes. AI extracts vendor, amount, date, and category instantly.
Why this matters
Finance teams deal with hundreds of unstructured invoice records monthly. When invoice data is exported from QuickBooks or Xero as a CSV, description fields contain messy text with vendor names, amounts, and tax info in different formats. CSV Analyst parses out vendor name, invoice amount, currency, issue date, payment status, and expense category — building a structured dataset ready for any finance dashboard without hours of manual cleanup.
Before → After
What your CSV looks like after enrichment
The AI reads each row and appends the columns you need — no formulas, no scripts.
| Invoice Description (Raw) | AI: Vendor | AI: Amount | AI: Category | |
|---|---|---|---|---|
| "INV-2024-0422 / Adobe Creative Cloud Annual / $599.88 / Due Jan 15" | → | Adobe Inc. | $599.88 | Software |
| "AWS monthly compute + storage charges Nov 2024 USD 1,243.57" | → | Amazon AWS | $1,243.57 | Cloud Infra |
| "Office supplies Q4 restock petty cash $87.00" | → | Internal | $87.00 | Office Expenses |
AI-generated columns
Features & Data the AI can extract
- Vendor NameExtracted and standardized company name
- AmountParsed monetary value with currency
- Expense CategorySoftware, Infrastructure, Travel, Office...
- Payment StatusPaid, Pending, Overdue — if mentioned
Transform thousands of rows in minutes.
Upload your CSV and let AI do the tedious row-by-row analysis. No sign-up required.
→ Try the live demo — free