Gemini
Pending safe baseline
Keep as no-score until a no-login or project-safe route produces a separable invoice/receipt answer rather than prompt echo or error UI.
This evidence log tests a safe first workflow: paste synthetic receipts, invoices, credits, estimates, and reimbursement notes into a general AI assistant and ask for a reviewable expense register. No real financial data, accounting software, bank feed, credit card feed, email, OCR upload, payment system, or tax connector was used.
In the current Harbor & Pine Market synthetic fixture, ChatGPT scored 4.87/5 and Duck.ai scored 4.50/5. Both produced separable expense-register drafts without login, upload, or connectors. ChatGPT handled signs, totals, and status separation more cleanly; Duck.ai made a few small sign and field-inference mistakes.
Treat this as a prompt-only drafting benchmark, not accounting software advice. The practical reader workflow is: sanitize documents, paste only synthetic or approved excerpts, ask for a draft register, then verify every amount, status, duplicate, credit, and action boundary before anything reaches the books.
Scores cover the separable assistant answer only. Setup friction, prompt echo, UI cleanup, and pending routes are tracked separately in the evidence CSVs.
| Tool | Score | Last tested | What worked | What to review |
|---|---|---|---|---|
| ChatGPT | 4.87/5 | 2026-06-17 | Best current invoice/receipt draft: preserved all 12 records, kept paid receipts, unpaid invoice, reimbursement, credit, estimate, duplicate, cash, and missing-receipt items separate, and calculated every requested total correctly. | Still needs human/bookkeeper review. It inferred an employee out-of-pocket payment method for the reimbursement, left the missing-receipt net/subtotal as unknown instead of $12.00, and required page-text cleanup because the web UI included prompt echo and login prompts. |
| Duck.ai | 4.50/5 | 2026-06-17 | No-login route worked and produced a separable register with all 12 records, correct paid gross total, useful exception checks, and a visible GPT-5 mini label. | The totals section showed the posted credit as positive 8.35 rather than clearly -$8.35, inferred one payment method, copied details onto the duplicate row, and used a few posting/reconciliation phrases that need human/bookkeeper framing. |
A pending row is not a quality judgment. It means we have not yet saved a separable full answer through a safe no-login or project-safe route.
Pending safe baseline
Keep as no-score until a no-login or project-safe route produces a separable invoice/receipt answer rather than prompt echo or error UI.
Pending safe baseline
Keep as no-score until a full answer is captured and prompt echo/search UI can be separated from assistant output.
Pending safe baseline
Test only if a safe route can produce a distinct answer; prior no-login Copilot checks often accepted prompts but showed no visible assistant response.
The fixture uses Harbor & Pine Market, a fictional home-goods retailer with a small workshop/event space. The packet includes paid card receipts, a cash receipt, an unpaid wholesale invoice, a reimbursement request above an approval threshold, a duplicate receipt copy, a posted postage credit, an estimate that should not be booked, and a missing-receipt parking note.
A strong answer should create a register, preserve exact source evidence, calculate totals manually, keep statuses separate, flag exceptions, and avoid pretending to approve reimbursements, pay bills, reconcile accounts, file taxes, or update accounting software.
The prompt is intentionally connector-safe: it tells the assistant to use only pasted synthetic records and never claim access to bank feeds, cards, email, OCR apps, accounting systems, payment systems, or tax software.
content/fixtures/invoice-receipt-processing-small-biz/synthetic-receipts-invoices.md
Fictional Harbor & Pine Market records: paid card and cash receipts, an unpaid vendor invoice, an employee reimbursement request, a duplicate receipt copy, a posted credit memo, an estimate, and a missing-receipt personal-card note.
content/fixtures/invoice-receipt-processing-small-biz/invoice-receipt-processing-paste-prompt.md
The exact connector-safe prompt asking for an expense register, totals, duplicate/exception checks, bookkeeper handoff note, and human-review checklist.
content/fixtures/invoice-receipt-processing-small-biz/expected-expense-register-output.md
Ground-truth rows and totals, including paid gross $512.86, unpaid invoice $744.00, pending reimbursement $53.53, posted credit -$8.35, estimate/not-payable $103.92, missing-receipt $12.00, and duplicate-not-counted $118.53.
content/fixtures/invoice-receipt-processing-small-biz/invoice-receipt-processing-test-protocol.md
The no-accounting-connector protocol: sanity prompt first, screenshots, raw page text, submitted prompt, cleaned assistant output, metadata, manual arithmetic checks, and no-score blockers.
Receipts and invoices can contain vendor, employee, tax, customer, payment, and business-confidential information. Start with sanitized excerpts and keep human/bookkeeper review between AI output and any accounting or payment action.
The current data-entry/form-filler search cluster includes receipt, spreadsheet, PDF, and browser-automation overlap, but that does not justify connecting accounting tools or filling live forms. Start with this paste-only register benchmark, then move to the boundary guide that matches the next risk.
Use the spreadsheet benchmark when the source is an order export or CSV that needs formula checks, normalized fields, and manual totals before any expense or revenue interpretation.
Use the report benchmark after invoice/receipt rows have been status-separated and recalculated; do not let polished narrative hide wrong totals or payment/action claims.
Use this before moving an AI-generated register into web forms, vendor portals, accounting screens, expense tools, customer records, or any workflow with save/submit/pay/reimburse actions.
Use this when receipt or invoice details become PDF fields, reimbursement forms, browser autofill, or extension workflows; keep uploads, signatures, payments, and auto-submit out of scope until sandboxed.
The current scores cover two prompt-only public web runs using a synthetic fixture. They do not test paid plans, native accounting tools, OCR accuracy, receipt uploads, QuickBooks, Xero, FreshBooks, Wave, Expensify, Ramp, Brex, bank or card feeds, email imports, payroll, tax software, payment workflows, approvals, memory, or real action-taking. New rows will be added only when raw output or setup-friction evidence is saved and scored with the same rubric discipline.