Extract data from documents with AI and Google Drive

Automatically process uploaded documents with AI to extract structured data. Turn PDFs and images into Google Sheets rows instantly.

Google DriveGoogle Drive
AnthropicAnthropic
Google SheetsGoogle Sheets
Use this template
Created by
Miniloop Team

Triggers on a event

When file is uploaded to Google Drive folder
Google DriveMonitor folder for incoming documents
AnthropicRead text and structure from document
AnthropicIdentify and extract key data points
Google SheetsPopulate spreadsheet with structured data
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Stop manually copying data from documents into spreadsheets. This workflow monitors your Google Drive for new uploads, uses AI to extract key information from invoices, contracts, forms, or any document type, and populates Google Sheets with structured data automatically.

1
Google Drive

Detect new file upload in Google Drive

The workflow watches a designated Google Drive folder for new file uploads. When a document is added (PDF, image, or other supported format), it triggers the extraction process and retrieves the file for analysis.

2
Anthropic

Extract document content with AI vision

Using Claude's vision capabilities, the workflow reads the document content including text, tables, and form fields. It handles scanned documents, photographs of paperwork, and native digital files with equal accuracy.

3
Anthropic

Parse structured data fields with AI

The AI extracts specific data fields based on your document type configuration. For invoices this might be vendor, amount, date, and line items. For contracts it could be parties, terms, and key dates. The extraction adapts to your needs.

4
Google Sheets

Add extracted data to Google Sheets

The extracted data is added as a new row in your Google Sheets destination with each field in its appropriate column. The workflow can handle multiple document types, routing data to different sheets based on document classification.

Why automate document data extraction with AI?

Manual data entry from documents is one of the most tedious and error-prone tasks in any organization. Whether it's invoices, applications, or contracts, humans spend hours copying information that AI can extract in seconds with greater accuracy.

Eliminate manual data entry from documents

Drop a document in a folder and watch the data appear in your spreadsheet. No more squinting at PDFs, switching between windows, and typing data field by field.

Process documents 24/7 without delays

Documents get processed the moment they're uploaded, whether it's 2 PM or 2 AM. No backlog builds up waiting for someone to manually process incoming paperwork.

Maintain consistency across document processing

Human data entry varies by person and fatigue level. AI applies the same extraction logic every time, ensuring consistent data quality regardless of volume.

How to set up automated document extraction

Setting up this Google Drive to Sheets workflow takes about 15 minutes. You'll configure your watched folder, define extraction fields, and set up your destination spreadsheet.

What you need to get started

  • Google Drive folder for document uploads
  • Claude API key for document analysis
  • Google Sheets for data storage
  • Sample documents to configure extraction

Configuring extraction fields

  1. Identify the fields you need from your documents
  2. Provide example documents for the AI to learn from
  3. Define field formats and validation rules
  4. Set up handling for missing or unclear fields

Setting up document type handling

  1. Create different extraction templates for different document types
  2. Configure automatic document classification
  3. Route data to appropriate sheets based on type
  4. Define error handling for unrecognized documents

Frequently asked questions about AI document extraction

What types of documents can the AI process?

The AI handles PDFs, images (JPG, PNG), scanned documents, photographs of physical documents, and most common file formats. It works with both digital-native and scanned documents.

How accurate is the extraction for handwritten documents?

Accuracy depends on handwriting legibility. Clear handwriting extracts well, while messy handwriting may require human review. You can configure confidence thresholds to flag uncertain extractions.

Can I extract data from complex tables?

Yes, the AI can extract tabular data and maintain row/column relationships. This is particularly useful for invoices with line items or forms with repeated sections.

What if the document format varies?

The AI handles format variations well since it understands document content semantically rather than looking for data in fixed positions. It adapts to different layouts from different vendors or sources.