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Batch Processing Documents: Upload Once, Extract Everything

Stop processing documents one at a time. Batch uploading lets you extract data from dozens of documents in a single session.

Siftly Team
Siftly Team·February 2026·4 min·

TL;DR:

  • Processing documents one at a time wastes hours; batch uploading handles dozens at once
  • Upload 15 invoices, get a spreadsheet with 15 rows of structured data
  • 30 invoices that take 2-3 hours manually can be batch-processed in under 15 minutes
  • Group similar document types together for the cleanest output

How Batch Processing Works

Instead of uploading one document, reviewing the result, exporting, then uploading the next one, you upload all your documents in a single batch. The AI processes each one, and you get a combined result with all extracted data organized in one place.

For example, if you upload 15 invoices, you'll get a spreadsheet with 15 rows. One per invoice with columns for vendor name, invoice number, date, total, and whatever other fields the AI identifies. All from a single upload session.

Where Batch Processing Saves the Most Time

End-of-month invoice processing. Upload all your vendor invoices at once and get a complete summary spreadsheet in minutes.

Weekly receipt batches. Save your receipt photos throughout the week, then batch-process them all on Friday. Your expense tracking stays current with minimal effort.

Document digitization projects. If you're digitizing a filing cabinet of paper records, batch processing is the only practical approach. Photograph everything, upload in batches, and work through the entire archive systematically.

A stack of 30 invoices that would take 2-3 hours to manually enter can be batch-processed and exported to Google Sheets in under 15 minutes. The bottleneck shifts from data entry to decision-making, which is where your time should be spent anyway.

Tips for Effective Batching

  • Group similar document types together: batch all invoices separately from receipts for the cleanest output
  • Name your files descriptively before uploading so you can match results to source documents
  • Start with a small batch (5-10 documents) to verify the extraction meets your needs before processing everything
  • Use the review step to catch any fields that need correction before exporting to Sheets

Ready to try it? Start with a batch of invoices — here's how to get invoice data into Google Sheets. Or batch your receipts using our receipt extraction guide.

Siftly Team

Siftly Team

Building tools that turn messy documents into clean, structured data. We write about document automation, data extraction, and smarter workflows for small businesses.