Parseur Connector for AI agents.

Parseur turns your unstructured documents, like PDFs and emails, into structured data. It uses OCR to read the contents and extracts specific fields like totals or dates so your AI agent can use them in other apps.

Yes, that's one of its primary uses. You can set up a mailbox for invoices, have your agent send them to Parseur, and then automatically pull the extracted data into your accounting software.

Yes, because it uses a powerful OCR engine, it can often identify text in photos or handwritten documents and convert them into digital data for your agent to process.

It replaces manual typing. Instead of a human reading a PDF and typing it into a system, the Connector lets your AI agent handle the upload and data extraction automatically.

Absolutely. You can create different mailboxes for different document types, like receipts, invoices, and forms, and use specific templates for each one.

If a document doesn't process correctly, you can use the Connector to trigger a retry. This forces the engine to re-examine the file against your current template rules.

The capability offloads the logic specifically via endpoints mapping back to the Parseur Cloud Engine. The AI acts to organize mailboxes, list templates, and fetch final states securely without computing massive local OCR networks.

Yes. Utilizing the explicitly mapped upload_document constraint, the agent can inject raw string boundaries identifying formatting, passing files straightforward into the target mailbox ID natively.

Absolutely. Querying get_document_details lists specific status bounds. If a template expects InvoiceTotal and misses it, the document flags a processing boundary issue precisely traceable here.