Sign inGet started
Platform

From invoice intake to reviewable finance data.

InvoiceOps connects document understanding to the operational work buyers need: extraction, verification, review, search, and accounting-ready export.

Illustrative InvoiceOps platform architecture spanning invoice automation, workflows, and integrations.
Reference architecture. It combines current platform capabilities with configurable and custom-development patterns; availability depends on the selected workflow and agreed scope.
Platform paths

Move from standard capability to the right implementation depth.

Use the core platform directly, explore workflow and integration paths, or bring complex legacy and business-logic requirements into a scoped custom engagement.

Invoice Automation

Capture, extract, validate, review, search, and prepare invoice data for accounting handoff.

Explore

Workflows

Connect exception review, approvals, authorization, and controlled accounting movement.

Explore

Integrations

Start with structured exports and supported QuickBooks workflows, then assess broader requirements.

Explore

Custom Development

Engineer scoped connectors, proprietary rules, exports, and orchestration on top of InvoiceOps.

Explore

System flow

These are the steps that turn invoice PDFs into reviewable, searchable, accounting-ready records.

Upload or intake

Bring invoices into the workflow from upload, batch upload, and planned email intake paths.

Storage and queue

Keep documents organized for processing, review, search, and export.

Extraction engine

Recover layout, tables, tokens, fields, line items, and invoice entities.

Verification

Cross-check values with confidence, source evidence, conflicts, and missing-evidence states.

Review

Let finance users approve, edit, and preserve the original extraction history.

Export or handoff

Move validated data into CSV, XLSX, JSON, QuickBooks export, and future ERP sync paths.

Document intelligence foundation

Concrete invoice engine capabilities that buyers and technical evaluators can believe.

Clean PDFs stay fast

Use deterministic document understanding first, then OCR and image-table fallback when scans need visual reconstruction.

Difficult tables recovered

Handle bordered tables, sparse tables, dashed separators, key-value sections, scanned tables, and invoice summaries.

Values stay traceable

Attach page, source block, table cell, and bounding-box evidence so reviewers can verify values against the original document.

Confidence is explained

Show whether a value came from deterministic extraction, grounded AI, agreement, conflict, or missing evidence.

Trust layer

Three checks before finance exports.

The strongest competitive advantage is not extraction alone. It is the ability to explain, verify, and review invoice values before they reach accounting workflows.

Understand the document

Deterministic parsing reconstructs layout, metadata, sections, text blocks, tokens, tables, and page-level confidence.

Extract grounded values

AI enrichment maps invoice fields and line items from source candidates rather than returning disconnected text.

Verify hard cases

A separate visual verification path can inspect difficult PDFs, scans, and table layouts before values reach review.

Latest insights