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INDEPENDENT PROJECT · FINANCIAL SOFTWARE & AI

In development

Ghappan — from invoice images to reviewable data.

An independent software project exploring AI-assisted invoice processing and its connection to inventory and financial workflows, with human review before confirmation.

These AI-generated visuals show a proposed interface direction using fictional data. They are concept illustrations, not screenshots of the current private application. Ghappan is an independent project in development.

Interface concept · sample data

Ghappan interface concept showing a sample invoice alongside a proposed extracted-items review table
Proposed desktop workspace: an invoice image and extracted draft side by side. Concept illustration with fictional data.
Project type
Independent development
Status
Private · in development
Focus
AI-assisted invoice workflows
Visuals
Proposed interface concepts

The problem being explored

Turning invoice photos into usable business records involves more than reading text. Item names need matching, amounts and units need checking, and uncertain details need a clear review path before they affect business operations.

The engineering approach

The codebase includes document extraction, background processing, product-matching suggestions, and editable invoice drafts. The work connects these steps to inventory and financial processes while keeping review and confirmation explicit.

A workflow built around review.

  1. Capture

    Start with an invoice image uploaded or captured on a phone.

  2. Extract

    Process the document in the background and prepare structured draft items.

  3. Review

    Check the extracted details, match products, and resolve units or other missing information.

  4. Confirm

    The user explicitly confirms a reviewed draft before the next business steps.

AI prepares a draft. People make the decision.

An extraction is not a confirmed financial record. The review flow lets users correct details and resolve blockers such as unmatched products or an unclear rial/toman unit before confirmation.

Interface concept · sample data

Ghappan mobile interface concept showing draft review, currency-unit selection and product matching with sample data
Proposed mobile review experience. Concept illustration with sample data, not the current app interface.

Development focus

  • Document intelligence

    Invoice-image extraction and structured item data, including handling Persian and Arabic numerals.

  • Human review

    Editable drafts, product matching, and explicit handling of missing or ambiguous information.

  • Connected workflows

    Integration work across invoices, inventory, and financial operations, with defined confirmation steps.

Have a document-heavy workflow to simplify?

We can discuss where AI assistance, human review, and custom software could fit your business process.

Discuss your workflow
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