Automate Invoice Data Extraction from Google Drive to Airtable using Nanonets OCR & Command-R — n8n Workflow

Mittel Komplexität Auslöser11 Knoten🏷️ Invoice Processingvon Ehsan

Übersicht

How it works This template creates a fully automated "hands-off" pipeline for processing financial documents. It's perfect for small businesses, freelancers, or operations teams who want to stop manually entering invoice and receipt data.

When you drop a new image/multiple images file into a specific Google Drive folder, this workflow automatically: Triggers and downloads the new file. Performs OCR on the file using a local AI model (Nanonets-OCR-s) to extract all the raw text. Cleans & Structu

Verwendete Knoten

AirtableGoogle DriveAI AgentOpenAI Chat ModelOpenAI

Workflow-Vorschau

🚀 Welcome: OCR to Airtable Pipeline
This template automatically processes invoices and rece
1. Watches a Google Drive folder.
2. Performs OCR on the file.
3. Cleans & Structures
1. Configure "New File" Trigger
This node watches for new files to process.
Your To-Do:
1. Select your Google Drive Credentials.
2. Choose the Folder to Watch (this is your "inbox"
2. Configure OCR AI Model
This node connects to the AI model that performs the OC
Your To-Do:
1. Select your Credentials. (If using Ollama, this is
3. Configure Data Cleaning AI
This AI node takes the raw OCR text, cleans it, and str
Your To-Do:
1. Select your Credentials (can be the same as
4. Configure Airtable Output
This node saves the clean JSON data to your Airtable ba
Your To-Do:
1. Make sure you duplicated the base from the link in
2.
5. Configure "Done" & "Failed" Folders
These nodes move the processed file to keep your inbox
Your To-Do:
1. Select your Google Drive Credentials for both nodes
2. In `Move su
6.✅ All Done!
This node signals that the loop has finished processing
The workflow is now idle and will wait for the next fil
modelmodel
Download file
Move failed
Move successful
L
Loop Over Items
F
file name & ID
D
Done!
AI Agent-OCR
Data Cleaner
O
OCR folder
AirTable - Create a reco…
OpenAI Chat Model
11 nodes14 edges

So funktioniert es

  1. 1

    Auslöser

    Der Workflow startet mit einem auslöser-Auslöser.

  2. 2

    Verarbeitung

    Die Daten fließen durch 11 Knoten, connecting agent, airtable, googledrive.

  3. 3

    Ausgabe

    Der Workflow schließt seine Automatisierung ab und liefert das Ergebnis an das konfigurierte Ziel.

Knotendetails (11)

AI

Airtable

airtable

#1
GO

Google Drive

googleDrive

#2
AI

AI Agent

n8n-nodes-langchain.agent

#3
OP

OpenAI Chat Model

n8n-nodes-langchain.lmChatOpenAi

#4
OP

OpenAI

n8n-nodes-langchain.openAi

#5

So importieren Sie diesen Workflow

  1. 1Klicken Sie rechts auf die Schaltfläche JSON herunterladen, um die Workflow-Datei zu speichern.
  2. 2Öffnen Sie Ihre n8n-Instanz. Gehen Sie zu Workflows → Neu → Aus Datei importieren.
  3. 3Wählen Sie die heruntergeladene Datei automate-invoice-data-extraction-from-google-drive-to-airtable-using-nanonets-ocr-command-r und klicken Sie auf Importieren.
  4. 4Richten Sie Anmeldedaten für jeden Dienstknoten ein (API-Schlüssel, OAuth usw.).
  5. 5Klicken Sie auf Workflow testen, um zu überprüfen, ob alles funktioniert, und aktivieren Sie es dann.

Oder direkt in n8n → Aus JSON importieren einfügen:

{ "name": "Automate Invoice Data Extraction from Google Drive to Airtable using Nanonets OCR & Command-R", "nodes": [...], ...}

Integrationen

agentairtablegoogledrivegoogledrivetriggerlmchatopenaiopenaisetsplitinbatches

Diesen Workflow holen

Herunterladen und mit einem Klick importieren

JSON herunterladenAuf n8n.io ansehen
Knoten11
Komplexitätmedium
Auslösertrigger

Erstellt von

Ehsan

Ehsan

@ehsan-z

Tags

agentairtablegoogledrivegoogledrivetriggerlmchatopenaiopenaisetsplitinbatches

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