- Brand
- Unknown
- Category
- Pending
- Primary Subcategory
- Pending
Integration details
Description
e-invoices.it helps you understand Italian electronic invoices (FatturaPA) before you pay them, book them or pass them to your accountant. Attach an invoice to the chat: a .xml file, a signed .xml.p7m file or a zip with one invoice, as you get it from the supplier or from the Agenzia delle Entrate portal Fatture e Corrispettivi. e-invoices.it reads it and shows it as a readable document: supplier and customer with their VAT numbers, line items, the VAT summary per rate, the total, due dates, payment details with IBAN, withholding tax and the names of the attached files. ChatGPT then answers your questions about it in your language, for example how much to pay and by when, how the VAT is made up, or what the Italian codes mean (document type, VAT nature, split payment, payment method). For businesses, freelancers and accountants who receive Italian invoices, including foreign suppliers and customers who do not read Italian. One invoice at a time. The plugin only reads invoices: it does not create or send them. For many invoices at once (one Excel file, PDFs, a dashboard), use https://e-invoices.it. e-invoices.it processes the file only in memory: it does not store the file and does not log anything about it.
- Integration type
- Plugin
- Verification status
- Not applicable
- Platform
- ChatGPT
- Category
- Pending
- Primary Subcategory
- Pending
- Secondary Subcategories
- None listed
- Brand
- Unknown
- Access
- No account required
- First tracked
- 2026-10-21
- Tool count
- 1
- Geography
- US
The broad Category that contains the Primary Subcategory.
The Primary Subcategory used for this profile’s headline score.
Other Subcategories where the Integration is listed.
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Competitive lineup
1 tool agents can invoke
e-invoices.it ChatGPT Plugin FAQ
How the directory, categories and Discoverability Score work.
Read the methodologyHow do I improve e-invoices.it's ChatGPT Plugin discoverability?
The levers are the listing surface agents actually read: names, descriptions, keywords, tool metadata, and registry health. Which lever matters depends on where discovery breaks, which is what continuous measurement shows.
Where is this profile measured?
This profile uses the geography attached to the latest public registry snapshot: US. Locale tags are intentionally omitted.