Reduce manual transcription
Prepare structured fields from recurring document types.
Services/Document processing
Turn documents into records your team can check.
Extract the agreed information from invoices, forms or PDFs, validate the fields and send usable records to your spreadsheet or system. Keep the source and uncertainties attached.
Discuss your projectA 15-minute conversation about your workflow, your tools and where to start.Explore the workflow
How it helps your team.
Keep the source within reach
Retain references so staff can verify extracted information.
Bring uncertainty into view
Flag missing or ambiguous fields instead of quietly filling gaps.
Vendor-published customer caseVolvo Group
850+ hours
Of manual work saved each month
Microsoft reports this saving in Volvo Group’s invoice and claims processing, using document extraction and connected workflows.
An enterprise operation processing documents across markets. Its volume and process differ from a small document workflow.
Microsoft · Volvo GroupPublication date not stated · Accessed 2026-09-24A finding from another organization. This is not a Betterlane result or a guarantee for your project.HOW IT WORKS
From an incoming document to a validated record.
A fictional example to make the workflow tangible. The interface illustrates the process; it is not a live demonstration.
- 01
A document arrives
A fictional invoice enters the agreed intake folder.
- 02
Fields are extracted and checked
The workflow identifies supplier, date and total, with an unclear invoice number flagged.
- 03
The reviewed record is delivered
Accepted fields enter a spreadsheet or compatible system with a source reference.
Source-grounded extraction in our own product
Our College Database work extracts and organizes information from public institutional documents, keeping source files and checking records before updates. It is own-product research and extraction work, not a client invoice-processing deployment.
WHAT YOU RECEIVE
What your team receives.
Access, costs and acceptance criteria are agreed before implementation.
Included in delivery
- One agreed document family and extraction schema
- Field validation and a review path for uncertainty
- Source references and structured output
- Representative test set, failure handling and handover
How we check the delivery
Compare extracted fields with representative source documents. Check missing pages, poor scans, ambiguous fields and duplicates; uncertain values must remain flagged and reviewed before the agreed downstream action.
How do you pull data out of hundreds of PDFs?
You decide the exact fields you need, collect every PDF under a stable name, extract the text (with OCR only for scanned pages), and pull each field into a table. Then you check every value against the document it came from before anything is loaded. The checking is what makes the table usable; extraction alone is the easy half.
LET’S TALK
Let’s talk about your project.
Let’s understand where work repeats and design a workflow that helps your team.
Bring an example of the task, the tools you use and what you would like to improve.
Let’s discuss your projectWe discuss the result you need and define the next step.
Rather not book a time?
Leave an email or WhatsApp number and I answer you myself. It is optional and it books nothing.
YOUR QUESTIONS