Docuvia
AI that reads invoices, checks them and posts them.
AI document processing for finance teams: extract invoice data from any format, match it to purchase orders, catch duplicates and post to the accounting system.
- Category
- AI · Document Automation
- Designed for
- Web


Why Docuvia exists
The problem
Finance teams retype invoices from PDFs and photos, then catch duplicates and fraud only after money has left the account.
The product
Docuvia extracts, validates and matches every document, posts the clean ones automatically and routes the rest for a quick review.
Built for: Accounts payable teams processing 500 to 50,000 supplier documents a month.
- Extraction from PDFs, scans and photos in any layout
- Per-field confidence with side-by-side review
- PO and goods-receipt matching within tolerance
- Duplicate and bank-detail-change fraud checks
- Posting to Xero, QuickBooks or an ERP
- Weekly accuracy audits against human-checked samples
Walkthrough
Review Only What Needs Review
Designed so a finance clerk spends time on the one invoice in five that is actually unusual.
- 01
Document Intake
Every document with supplier, amount, PO match, confidence and status, plus straight-through and accuracy rates.
- 02
Side-By-Side Review
The original document with extracted fields highlighted, confidence per field and a suggested fix.
- 03
Validation Rules
Totals, duplicates, bank changes, matching tolerance and approval thresholds, with what each one caught.
- 04
Accuracy & Throughput
Weekly volumes, straight-through rate, time saved, cost per document and accuracy per field.
Every screen
The full experience.
What makes it different
Checks Before Cheques
Every document passes validation rules and matching before posting, and every extracted value keeps a link to where it came from.
Any Layout
Vision models read PDFs, scans and phone photos without per-supplier templates.
Fraud Checks
Duplicate numbers, changed bank details and totals that do not add up are stopped.
Confidence Per Field
Low-confidence fields are highlighted on the original document for a quick check.
Posts Where You Work
Clean documents go straight to the accounting system or ERP.
How it’s built
The technology stack.
The architecture we would build this on today, and why each piece earns its place.
- Web app
Next.js, React, TypeScript, Tailwind CSS
Review queues and dashboards that stay fast with thousands of items
- AI services
Python (FastAPI) · Claude via the Anthropic API with tool use
Strong reasoning and structured tool calls, isolated from the core API
- Tools & integrations
Model Context Protocol (MCP) servers
One standard way for agents to reach business systems, with scoped permissions
- Durable workflows
Temporal
Long-running, multi-step AI work that survives restarts and waits for approvals
- Knowledge & memory
PostgreSQL + pgvector
Retrieval over approved sources without a separate vector database
- Extraction
Vision-capable language models with a layout pre-pass
Reads any supplier's format and returns structured, typed fields
- Accounting
Xero, QuickBooks and ERP APIs
Posts bills with the right codes into the existing ledger
- Evaluation & tracing
Versioned eval suites, OpenTelemetry traces, cost tracking
Every prompt or model change is tested before release and every run is explainable
More inside
From Inbox To Ledger.
The accounts payable flow, with humans only where they add value.
PO Matching
Two- and three-way matching against orders and goods receipts within tolerance.
Approval Routing
Non-PO invoices routed to the right approver based on history.
What comes next
On the roadmap.
What a second release would add once the first one is in real users’ hands.
- 01Supplier self-service portal
- 02Expense receipts from mobile
- 03Statement reconciliation
- 04Multi-entity and intercompany
- 05E-invoicing formats (Peppol)
Concept project
Need Something Like This?
This is concept work: the product design, screens and architecture we would start from. If your business needs document processing or finance automation, we can scope a first release with you, usually within a week.
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