An implemented invoice workflow demonstrated here with synthetic data.
Less invoice typing.
More control.
Invoice processing that brings AI extraction, human checks and approval into one workflow. Built for teams that handle invoices across files, emails and spreadsheets.
Typing invoice fields and chasing approval across separate tools makes ownership and the current record harder to follow.
Prepare a draft with AI, check it against the source and export the approved record. No measured accuracy or savings are claimed.
From invoice to approved data.
Choose a step to see how the product works. This portfolio illustration uses synthetic data and does not run AI extraction.
- Supplier
- Example Supplies Ltd
- Invoice date
- 01 Oct 2026
- Subtotal
- INR 1,000.00
- Tax
- INR 180.00
- Total
- INR 1,180.00
Start with the original invoice.
Upload a PDF, JPEG or PNG invoice. Keep the source document with its record so the team can check the details.
AI assistance.
Human decisions.
Invoice upload & preview
PDF, JPEG and PNG uploads with file checks and a source preview alongside editable fields.
AI extraction with manual entry
Gemini extracts supplier details, dates, amounts and line items. Users can enter data manually when AI is not available.
Review & approval
Uploader, reviewer, approver and administrator roles govern edits, submission, requests for changes and approval decisions.
Duplicate warnings
Repeated files and matching supplier plus invoice numbers are flagged for a person to investigate.
History & CSV export
Timestamped audit events track edits and decisions. Approved records can be exported as CSV.
Organization workspaces
Records and downloads are scoped to the organization. Administrators can configure document retention.
Built with
Next.js, TypeScript, Django REST Framework, Gemini and Clerk. SQLite supports local development; PostgreSQL is the deployment target.
Current boundaries
This is an invoice MVP. ERP integrations, autonomous payments and other document types are outside its current scope. Production storage, notifications and deployment hardening remain next steps.
Make the next step
clearer.
Let’s discuss where document entry, checks or approvals slow your team down and define a focused first version.
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