Unknown author · Workflow & Planning
2 items
Turn a pasted email, a PDF, or a quick manual entry into a polished invoice or purchase order. Everything stays on your device. InvoicePO turns a pasted email, an uploaded PDF, or a quick manual entry into a polished, ready-to-send invoice or purchase order — right in your browser, with no account and no cloud service involved. Paste in a quote or order email, or drop in a PDF, and InvoicePO automatically pulls out the vendor or client details, PO number, line items, notes, and payment terms into an editable table so you can review and adjust everything before you export. Key features: - Parses pasted text or uploaded PDFs into an editable line-item table, or start from a blank form - Automatically calculates tax and discounts (percentage or flat), applied correctly across taxable and non-taxable lines - Payment Terms dropdown (Due on Receipt, Net 15/30/45/60, or Custom) that auto-calculates the due date for you - Switch between Invoice and Purchase Order modes with one click - Auto-incrementing invoice/PO numbers and saved clients/vendors for faster repeat use - Light and dark themes with customizable accent colors - Export a polished PDF or CSV in one click - Back up and restore all your data as a single file Everything — your business profile, client list, and invoice history — is stored locally in your browser. Nothing is uploaded to any server, and no account is required. Free to use, including PDF export (up to 5 per month). A one-time Pro upgrade of $4.99 removes the monthly export limit and adds CSV export, a custom business logo, and full invoice/PO history.
Aug 21, 2026
rating_count is the Chrome Web Store ratings count, not a written-review count.
Media assets
Screenshots and videos on the listing.
Has promo video
Whether the listing includes at least one video.
Languages
Declared language locales.
Developer website
Listing exposes a developer website URL.
Contact email
Listing exposes a contact email.
Keyword in name
Case-insensitive substring match in the name.
Keyword in description
Case-insensitive substring match in the description.
Keyword occurrences in description
Count of case-insensitive occurrences in the description.
Category user-count percentile
Share of same-category extensions with fewer users (null if unknown).
These are transparent listing completeness / keyword signals, not a prediction of Chrome Web Store search ranking.