AI Agents

AI logo sheet extractor to Airtable

44 nodes 217 129 Automatic trigger
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Workflow Description

Advanced automation template leveraging an AI agent to extract logo metadata from images and files, then intelligently processes and organizes the data into structured Airtable bases for streamlined asset management and searchability.

How it works

  1. 1.Receive logo files or images through a dedicated web form trigger
  2. 2.Process files using an AI-powered agent integrated with OpenAI for intelligent data extraction
  3. 3.Parse and validate extracted logo information using structured output parsing
  4. 4.Batch process the validated data for efficient Airtable synchronization
  5. 5.Upload logo data and metadata to organized Airtable records
  6. 6.Merge results and confirm successful data migration

Use cases

  • Extract and centralize logo metadata from multiple file formats into a unified database
  • Automatically populate brand asset management systems for agencies and enterprises
  • Index and catalog large logo collections with standardized metadata fields
  • Create searchable logo repositories with AI-generated descriptions and categorizations

Requirements

  • Active OpenAI account with configured API key for AI processing
  • Airtable workspace with a pre-configured base designed for logo metadata storage
  • Logo files in standard image formats (PNG, JPG, SVG, PDF)

Service Value

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

Apps Used

Form Trigger AI Agent Output Parser Airtable Split In Batches OpenAI

Details

Trigger Automatic trigger
Nodes 44
Apps 6
Views 217
Downloads 129

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 (44)

/

On form submission

Form Trigger

#1

Retrieve and Parser Agent

Agent

#2

JSON it

Set

#3

Structured Output Parser

Output Parser Structured

#4

Check if Attribute exists

Airtable

#5

Merge

Merge

#6

Map Attribute ID

Set

#7

Loop Over Attributes

Split In Batches

#8

All Attributes

Set

#9

Wait for Attribute Creation

Merge

#10

Change each Attribute to the corresponding RecID

Code

#11

Sticky Note

Sticky Note

#12

Sticky Note1

Sticky Note

#13

Split Out Tools

Split Out

#14

Split Out each Attribute String

Split Out

#15

Sticky Note2

Sticky Note

#16

Generate Unique Hash for Name

Crypto

#17

Create if not Exist

Airtable

#18

Merge Old Data + RecID

Merge

#19

Only what we need

Set

#20

Determine Attributes we should save

Code

#21

Split Out similar

Split Out

#22

Merge1

Merge

#23

Generate Unique Hash for Similar

Crypto

#24

It Should exists

Airtable

#25

All Similar

Set

#26

Merge2

Merge

#27

Sticky Note3

Sticky Note

#28

Change each Smiliar to the corresponding RecID

Code

#29

Determine Similar we should save

Code

#30

Save all this juicy data

Airtable

#31

Map Agent Input

Set

#32

gpt-4o

OpenAI

#33

Note3

Sticky Note

#34

Table: Tools

No Op

#35

Table: Attributes

No Op

#36

Note

Sticky Note

#37

Sticky Note4

Sticky Note

#38

make it a readable list

HTML Page

#39

Get Schema

Airtable

#40

Note1

Sticky Note

#41

Sticky Note5

Sticky Note

#42

Sticky Note6

Sticky Note

#43

Note4

Sticky Note

#44