API-first, built for general contractors, property managers and the developers who connect them. Turns crumpled hardware-store receipts and subcontractor invoices into structured, cross-checked project data — mismatches surfaced for your team, not pushed through.
Request private workflow reviewA photographed delivery note becomes validated, cross-checked data — exceptions flagged for review, not silently passed through.
Crumpled delivery note, photographed on site
{
"document_type": "delivery_note",
"supplier": "Obramat",
"project": "Residencial Norte — OBR-2207",
"date": "2026-05-14",
"line_items": [
{
"item": "Cement 25kg",
"qty": 80,
"unit_price": 6.2
},
{
"item": "Rebar 12mm",
"qty": 120,
"unit_price": 9.85
}
],
"subtotal": 1678,
"cross_check": {
"matched_invoice": false,
"exception": "Quantity mismatch: Cement 25kg (invoice 100, note 80)"
}
}
Structured output — fields, cross-check result, exception surfaced
Construction and property operations generate a constant stream of documents across multiple projects, suppliers and cost centers. Keeping up manually means people spend hours per week on work that should never have required a human in the first place.
Delivery notes arrive from dozens of suppliers across multiple sites and must be matched against invoices before anything can be posted
Documents land in inboxes as PDFs, photos and scans with no consistent format or naming
Quantities and prices on delivery notes frequently differ from what the supplier invoices — and finding those differences is entirely manual today
Documents must be classified by project, property, supplier and cost center before they are useful to any downstream system
Exceptions pile up when no one has time to resolve them, creating month-end bottlenecks and delayed closing
People with operational expertise are spending hours on data entry instead of on the work that actually matters
Five layers of operational intelligence that work together to take documents in and deliver clean, verified data out.
Every incoming document is identified by type and automatically assigned to the correct project, property, supplier or cost center. No manual sorting, no misfiled records.
Extracted fields are checked for completeness and consistency — totals, line items, supplier references, dates — before any record reaches a downstream system.
SunnyExtract compares delivery notes (albaranes) against the corresponding supplier invoices: quantities, unit prices and totals must agree. Discrepancies are flagged as exceptions, not silently passed through.
Documents that cannot be classified with confidence, contain data inconsistencies or fail the cross-check are routed to a dedicated exception queue — so your team reviews only what genuinely needs a decision.
Verified data is delivered as structured, system-ready exports — JSON, CSV or audit trail — formatted to match what your internal systems expect, without manual reformatting.
The document types that arrive in Construction & Property operations and pass through the SunnyExtract pipeline.
Structured output delivered as JSON, CSV, webhook payloads and audit trail — mapped to what your systems expect, configured during onboarding.
Output formats
Common targets
The real cost of manual document processing is not just the time spent entering data — it is the operational expertise that gets consumed by work a system should handle. SunnyExtract removes that load.
Stop paying for materials that never arrived — delivery notes cross-checked against supplier invoices, mismatches surfaced for review before anything is posted
Every document mapped to the right project and cost center, regardless of how it arrived
Built for the documents you actually get — site photos, low-res scans and dated subcontractor templates handled as inputs; anything unclear goes to human review instead of through
Clean, structured data reaches your systems in the format they expect, without reformatting by hand
Your team reviews exceptions and decisions, not every document from scratch
Instead of spending the day opening PDFs, checking delivery notes and matching supplier invoices by hand, your team works from a cleaner exception list. Routine documents move toward export. The cases that do not match are surfaced for review.
A project controller manually checks whether a delivery note belongs to the right project, supplier and cost center.
SunnyExtract classifies the document and prepares the extracted data with the original file attached for review or export.
Supplier invoices are compared against delivery notes line by line at the end of the month.
Delivery note vs. invoice mismatches are flagged earlier, before they become payment or closing problems.
Operational staff spend hours resolving document backlog instead of managing projects and suppliers.
The team reviews exceptions and decisions, not every document from scratch.
No. SunnyExtract reduces the repetitive document work before review. Your team still decides what to approve, reject or investigate.
The mismatch is treated as an exception. SunnyExtract does not silently pass it through as clean data.
Yes, that is one of the main reasons to use SunnyExtract in construction and property operations. Classification can be adapted around the workflow reviewed during onboarding.
No. OCR is only text recognition. SunnyExtract adds classification, validation, cross-checking and structured export around the document workflow.
Tell us how your document workflow works today. We review every request manually and prepare demos around real operational needs.
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