You will get I will clean your Excel/CSV, remove duplicates, and deliver a summary
Project details
I will clean and standardize your Excel/CSV so it’s analysis-ready: fix headers, trim whitespace, normalize dates/currency/decimals, remove duplicates (based on your key), and run basic validation checks.
You’ll receive a cleaned file + a short summary (row counts/totals) + “Issues/Validation” notes.
Data cleaning only (client-provided files). No web scraping.
You’ll receive a cleaned file + a short summary (row counts/totals) + “Issues/Validation” notes.
Data cleaning only (client-provided files). No web scraping.
Data Tool
Microsoft ExcelWhat's included
| Service Tiers |
Starter
$39
|
Standard
$99
|
Advanced
$199
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Revisions | 1 | 1 | 1 |
Number of Pages Mined/Scraped | 1 | 3 | 5 |
Number of Sources Mined/Scraped | 1 | 1 | 1 |
Optional add-ons
You can add these on the next page.
Fast Delivery
+$20 - $60
Additional Revision
+$15
Extra file (data cleaning)
(+ 1 Day)
+$25
Large dataset (50k+ rows)
(+ 2 Days)
+$50
Map columns to template
+$25Frequently asked questions
About Hampus
Invoice OCR to CSV/JSON (line items) | Validation + QA flags
Norrkoeping, Sweden - 1:52 am local time
Proven on ~1,500 invoices (~16,000 line items) in production-like workflows focused on throughput and cost.
What I deliver
• Header + line items → CSV/JSON (your schema)
• Totals/date/VAT validation + confidence/unclear flags
• Optional: categorization rules + anomaly checks
• Optional: deployable API/workflow + logs
To start: send 5–10 sample invoices + desired output schema.
Steps for completing your project
After purchasing the project, send requirements so Hampus can start the project.
Delivery time starts when Hampus receives requirements from you.
Hampus works on your project following the steps below.
Revisions may occur after the delivery date.
Review files & confirm rules
I review your file(s) and confirm the dedupe key, formats, and validation rules (or “N/A”) before changing anything.
Clean & standardize columns
I standardize headers, trim whitespace, normalize dates/currency/decimals, and align columns (for multi-file jobs).