Invoice data extraction for field service businesses
HVAC, plumbing, and electrical businesses use InvoiceJet to capture parts and supplier invoices, including photos a technician snaps at the counter, and turn them into verified data with correct totals. An OCR fallback reads phone photos and creased receipts, and entity tags tie each cost to the job it belongs to. Recurring vendor invoices read consistently, so cost per job stays accurate without keying receipts by hand.
What slows you down
- Technicians buy parts all day and hand back a pile of crumpled receipts and phone photos.
- The same supply houses bill you week after week, and every invoice still gets entered by hand.
- Cost per job goes soft when a parts receipt never makes it onto the job.
- Totals with restocking fees or partial pickups are easy to mis-key from a bad photo.
How InvoiceJet helps
Photos from the field, read anyway
An OCR fallback reads phone photos, scans, and creased counter receipts, so a technician can snap a picture and move on. Each field carries a confidence level, so glare or a fold shows up as uncertainty instead of a wrong number.
Recurring vendors, consistent capture
Invoices from the supply houses you buy from every week read the same way each time, with vendor, number, and totals extracted and cited. Duplicate detection flags a receipt that matches one already recorded, by vendor, number, and amount.
Cost tied to each job
Entity tags track and export invoices per job, so parts and supplier costs land on the right ticket. Cost per job stays accurate without a separate spreadsheet chasing receipts.
Totals checked before they count
Math checks confirm line items sum to the subtotal and subtotal plus tax equals the total, so a restocking fee or partial pickup does not throw off the job cost. Uncertain invoices queue with the evidence rather than passing through wrong.
How it works for you
- 1
Capture at the counter
A technician snaps a photo of the parts receipt or forwards the supplier's emailed invoice to a private ingest address. The OCR fallback handles phone photos and scans.
- 2
Verify the parts invoice
Two models must agree and the math must check out before a field is high confidence. Clean invoices auto-verify; a blurry photo or an odd total queues with per-field confidence and the source citation.
- 3
Tag it to the job
Entity tags assign each invoice to the job it belongs to, so recurring vendor costs and one-off parts both land on the right ticket.
- 4
Export cost per job
Export verified invoices as CSV or JSON filtered by job, or push them over signed webhooks and the REST API into your accounting or field service system by import or API.
Common questions
Can a technician just photograph a receipt in the field?
Yes. Phone photos run through an OCR fallback, and each field carries a confidence level, so you see where a bad photo made a value uncertain instead of trusting a wrong number.
How is this different from a tool for construction contractors?
Field service work runs on parts and supplier invoices tied to short service jobs and recurring supply houses, not long project-based contracts. InvoiceJet tags each parts invoice to its job so cost per job stays accurate across many small tickets a week.
Will it recognize the same supply houses we buy from every week?
Yes. Recurring vendor invoices are extracted consistently with vendor, number, and totals cited, and duplicate detection flags a receipt that matches one already recorded by vendor, number, and amount.
See it work
The interactive demo on the home page replays a real extraction.
Keep reading
Turn your next invoice into verified data
Free for 10 invoices a month, no card. Every field carries a confidence level and cites its source.