AI Agents

Extract data from Google Docs and populate Google Sheets automatically

37 nodes 299 173 Automatic trigger
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Workflow Description

Intelligent automation that reads Google Docs content using AI, extracts structured data from documents, and automatically organizes it into Google Sheets to streamline information management and analysis without manual intervention.

How it works

  1. 1.Trigger the workflow manually and specify the target Google Docs document
  2. 2.Load and split document content into processable chunks for analysis
  3. 3.Analyze text using Gemini and OpenAI models to extract structured data
  4. 4.Organize extracted results into batches and process them through an AI chain
  5. 5.Insert organized data directly into the designated Google Sheets worksheet

Use cases

  • Extract tables, lists, and key information from reports, contracts, and documents into structured formats
  • Process dozens of documents automatically and consolidate results in a unified spreadsheet for analysis

Requirements

  • Google account with access permissions to Google Docs and Google Sheets
  • Valid API keys for OpenAI and Gemini services
  • Documents with clear text format to ensure extraction accuracy

Service Value

Ideal as a smart automation service combining integrations and AI to produce ready-to-use results.

Apps Used

Vector Store OpenAI Document Default Data Loader Text Splitter Google Docs Gemini Output Parser Split In Batches LLM Chain AI Agent Google Sheets

Details

Trigger Automatic trigger
Nodes 37
Apps 11
Views 299
Downloads 173

How to Use

  1. 1.Click "Download Template"
  2. 2.Open your n8n dashboard
  3. 3.Go to Workflows > Import from File
  4. 4.Select downloaded file and configure credentials

Nodes Used (37)

/

When clicking ‘Test workflow’

Manual Trigger

#1

Qdrant Vector Store

Vector Store Qdrant

#2

Create collection

HTTP Request

#3

Refresh collection

HTTP Request

#4

Embeddings OpenAI

OpenAI

#5

Default Data Loader

Document Default Data Loader

#6

Token Splitter

Text Splitter Token Splitter

#7

Sticky Note3

Sticky Note

#8

Sticky Note4

Sticky Note

#9

Converto di MD

Code

#10

Get Doc

Google Docs

#11

Vector Store Retriever

Retriever Vector Store

#12

Qdrant Vector Store1

Vector Store Qdrant

#13

Convert to File

Convert To File

#14

Google Gemini Chat Model

Gemini Model

#15

Item List Output Parser

Output Parser Item List

#16

Loop Over Items

Split In Batches

#17

Google Gemini Chat Model1

Gemini Model

#18

Google Gemini Chat Model2

Gemini Model

#19

Item List Output Parser1

Output Parser Item List

#20

Loop Over Items1

Split In Batches

#21

Google Gemini Chat Model3

Gemini Model

#22

Qdrant Vector Store2

Vector Store Qdrant

#23

Embeddings OpenAI2

OpenAI

#24

Structured Output Parser

Output Parser Structured

#25

RAG

Tool Vector Store

#26

Google Gemini Chat Model4

Gemini Model

#27

Open questions

LLM Chain

#28

Closed questions

LLM Chain

#29

Answer questions

Chain Retrieval Qa

#30

Answer and create options

Agent

#31

Write open

Google Sheets

#32

Write closed

Google Sheets

#33

Embeddings OpenAI1

OpenAI

#34

Sticky Note

Sticky Note

#35

Sticky Note1

Sticky Note

#36

Sticky Note2

Sticky Note

#37

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