You will get a clean Excel file from scanned invoices, with uncertain fields flagged
Project details
You have a stack of scanned invoices and someone on your team is retyping them into a spreadsheet. I run them through an extraction pipeline instead and hand you the finished file.
What you get is one Excel workbook. A register sheet with invoice number, date, supplier, payment terms, net, VAT and total. A second sheet with every line item. A third sheet listing anything the pipeline could not read with confidence.
That third sheet is the point. Uncertain values are flagged for you to check, never quietly guessed at and written in, which is how wrong numbers end up in the books. Every invoice total is also re-added from its own line items, so arithmetic that does not reconcile gets caught before it reaches you.
Crooked scans, photos taken on a phone, mixed layouts from different suppliers and more than one language are normal input here, not exceptions.
Send me two or three of your own files first if you would like to see the output before you buy.
What you get is one Excel workbook. A register sheet with invoice number, date, supplier, payment terms, net, VAT and total. A second sheet with every line item. A third sheet listing anything the pipeline could not read with confidence.
That third sheet is the point. Uncertain values are flagged for you to check, never quietly guessed at and written in, which is how wrong numbers end up in the books. Every invoice total is also re-added from its own line items, so arithmetic that does not reconcile gets caught before it reaches you.
Crooked scans, photos taken on a phone, mixed layouts from different suppliers and more than one language are normal input here, not exceptions.
Send me two or three of your own files first if you would like to see the output before you buy.
Data Tool
Microsoft ExcelWhat's included
| Service Tiers |
Starter
$75
|
Standard
$190
|
Advanced
$390
|
|---|---|---|---|
| Delivery Time | 2 days | 3 days | 5 days |
Number of Revisions | 2 | 2 | 3 |
Number of Pages Mined/Scraped | 50 | 200 | 500 |
Number of Sources Mined/Scraped | 1 | 1 | 1 |
Frequently asked questions
About Valerii
AI-Powered Document and Email Data Extraction into CRM or Sheets
Kyiv, Ukraine - 10:56 am local time
What I set up:
- A pipeline that reads incoming documents (PDF, scans, email attachments) and pulls out the fields your process actually runs on: line items, totals, dates, vendor names, PO numbers.
- Output straight into Google Sheets, Airtable, HubSpot, or wherever your data already lives.
- A confidence score on every extracted field, so uncertain rows get flagged for a human instead of quietly entering bad data into your system.
I work with n8n and LLM-based extraction, so I am not limited to fixed templates. Messy layouts, inconsistent vendors, and scanned documents are the normal case, not the exception.
How I work: I send you a short Loom walkthrough of the working automation running on your own document samples before you commit to anything. No calls required. Everything stays in writing and video, so you can review it on your own schedule.
If your team is copying data out of documents more than a few times a week, send me two or three sample files and I will show you exactly what the extracted output would look like.
Steps for completing your project
After purchasing the project, send requirements so Valerii can start the project.
Delivery time starts when Valerii receives requirements from you.
Valerii works on your project following the steps below.
Revisions may occur after the delivery date.
Extraction and reconciliation
Every page is read and the fields pulled out. Each invoice total is then re-added from its own line items, so any figure that does not reconcile is caught here rather than by you.
Review sheet and delivery
Anything read with low confidence goes on a separate sheet with the page it came from, so you check a handful of rows instead of the whole file. Then you get the workbook.