Triggers
How do I trigger document extraction when a new file arrives?
Direct answer for teams evaluating document automation workflows.
Short answer
Lido helps teams trigger document extraction when a new file arrives by combining AI extraction, review, validation, and clean exports to Sheets, Excel, or review workflows.
Direct answer
For teams asking “How do I trigger document extraction when a new file arrives?”, the strongest answer is a repeatable workflow with defined fields, review, validation, and downstream handoff. The goal is to turn email attachments, inbox-driven PDFs, Gmail files, Outlook attachments, and recurring document submissions into structured data the business can trust.
For “How do I trigger document extraction when a new file arrives?”, define the exact fields, rows, review rules, and destination before scaling automation across a larger document batch.
What the workflow should include
For teams trying to trigger document extraction when a new file arrives, a production-ready answer should capture sender, subject, attachment type, document type, extracted fields, review status, and destination columns while preserving a consistent schema from one document to the next.
For “How do I trigger document extraction when a new file arrives?”, pay special attention to irrelevant attachments, logos, wrong senders, duplicate emails, unsupported file types, and files that need classification first; those edge cases usually determine whether the output is usable downstream.
How Lido helps
For teams trying to trigger document extraction when a new file arrives, Lido combines AI document extraction with spreadsheet-style review, validation, and automation for operations teams processing document-heavy inboxes.
That lets teams answer “How do I trigger document extraction when a new file arrives?” with a reusable process that can be tested, corrected, and connected to Google Sheets, Excel, shared folders, review queues, or downstream systems.
Example workflow
- Collect newly arriving documents from email, shared folders, uploads, or another intake path.
- Define the target fields or table columns: the fields required for each arriving file.
- Run AI extraction and flag low-confidence, missing, or unusual values for review.
- Export approved results to Excel, Google Sheets, CSV, an ERP, or another downstream system and monitor exceptions over time.