- Getting started with Airtable
- Introduction to Airtable basics
- Contacting Airtable Support Updated
- Airtable home screen
- Glossary of Airtable terminology
- Airtable technical requirements
- Feature differences between Airtable on desktop and mobile
- Airtable keyboard shortcuts
- Using Markdown in Airtable
- Adding descriptions in Airtable
- Finding Airtable IDs
- Airtable Automations
- Automations Overview
- Automation feature walkthroughs
- Integrated automation walkthroughs
- Airtable automation walkthroughs
- Linking existing records using automations
- Conditional groups of automation actions
- Repeating groups of Airtable automation actions
- Creating recurring records using automations
- How to delay Airtable automation runs
- Prevent automations from triggering by mistake
- Use automations to timestamp status updates
- Automation Triggers
- Airtable Triggers
- Airtable automation trigger: When record matches conditions
- Airtable automation trigger: When a form is submitted
- Airtable automation trigger: When record created
- Airtable automation trigger: When record updated
- Airtable automation trigger: When record enters view
- Airtable automation trigger: At scheduled time
- Airtable automation trigger: When webhook received
- Airtable automation trigger: When a button is clicked
- Airtable automation trigger: When email received Updated
- Integrated Triggers
- Airtable Triggers
- Automation Actions
- Airtable Actions
- Airtable automation action: Send email Updated
- Airtable automation action: Create record
- Airtable automation action: Update record
- Airtable automation action: Find records
- Airtable automation action: Sort list
- Airtable automation action: Run a script Updated
- Airtable automation action: Generate with AI
- Integrated Actions
- Airtable automation actions: Slack
- Airtable automation actions: Google Workspace
- Airtable automation action: Send MS Teams message
- Airtable automation actions: Outlook
- Airtable automation actions: Jira Cloud
- Airtable automation actions: Jira Server / Data Center
- Airtable automation actions: Salesforce
- Airtable automation action: Create post in Facebook Pages
- Airtable automation actions: GitHub Issues
- Airtable automation action: Hootsuite post
- Airtable automation action: Send Twilio SMS
- Airtable Actions
- Airtable Bases
- Using Airtable Cobuilder
- Airtable bases overview
- Creating and managing Airtable bases
- Structuring bases in Airtable
- Moving bases between workspaces in Airtable
- Creating and managing tables in Airtable
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- Importing third-party data into Airtable
- Using insights in Airtable
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- Airtable Betas
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- Using app library and components in Airtable Updated
- Ask an Expert beta overview
- European data residency at Airtable
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- Airtable Enterprise API
- Creating and managing data retention policies in Airtable
- eDiscovery APIs in Airtable
- Airtable and data loss prevention
- Accessing Enterprise audit logs in Airtable
- Set up Jira Server / Data Center to connect with Airtable
- Admin panel pages
- Airtable admin panel overview
- Users - Airtable enterprise admin panel
- Airtable admin panel user details
- Groups - Airtable admin panel
- Workspaces - Airtable Enterprise Admin Panel
- Bases - Airtable admin panel
- Interfaces - Airtable admin panel
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- Managed apps - Airtable admin panel
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- Settings - Airtable admin panel Updated
- Managing Enterprise organizations
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- Using Organizations
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- Enterprise Hub in Airtable
- Enterprise Hub: Org unit assignment with user groups Updated
- Deactivating, removing access, and reactivating users in the admin panel
- Managing user access to workspaces and bases
- Airtable Enterprise Key Management Updated
- Custom terms of use New
- Enterprise SSO
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- Airtable Extensions
- Airtable Fields
- Fields Overview
- Attachment
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- Getting Started with Formulas
- Formula Foundations
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- Working with dates
- Displaying DATETIME_FORMAT using the date field in Airtable
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With the Vision extension, you can use the Google Cloud Vision API to get more insight out of images from your records. You can quickly classify your images into thousands of categories (like "dog," "lighthouse," or "Sahara"), extract those labels, and save them to a field in your base—meaning that you can tag hundreds of images with just a few clicks. You can also identify logos, or use optical character recognition (OCR) to extract text from images. Please note that this extension requires a Google Cloud Vision API key.
Introduction
Plan availability | All paid plans |
Permissions |
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Platform(s) | Web/Browser, Mac app, and Windows app |
Related reading | |
Airtable terminology | Extension - Extensions are modular components that add visuals or functionality to a base, and were shown in the base's dashboard. Users can create custom extensions, or they can use extensions created by Airtable or other open-source extensions. |
Install the vision extension
- Start by clicking the Extensions option at the top-right-hand corner of your base.
- You can then click Add an extension
- This will open up the extensions menu where you can search for and install the Vision extension.
Enter your Google Cloud API key
After adding the extension to your base, you'll be prompted to enter your Google Cloud API key. To get your API key you need to:
- Create a Google Cloud project. Go to the Google Cloud Platform Console and create a new project. You may also use an existing project that you own.
- Enable billing for your project. On the Billing page, add a payment method for your project. You will only be charged when you analyze images.
- Enable the Cloud Vision API. Go to the Cloud Vision API page and add it to your project. On the Credentials page, create an API key.
Once you've followed these steps, paste your API key in the space provided in the Vision extension setup window.
Configure extension settings
Next, you'll need to select which images you want to analyze and what features to extract from them. To select the images to analyze, click the gear icon next to "Images to analyze" to adjust which table, view, and field you want to use.
Then, choose what features to extract from the images by selecting one or more of the three available options.
Analyze images
Once you've configured the available options, click "Analyze" to begin extracting the selected information based on how Google categorizes your images. This will bring up a confirmation dialog confirming your use of the API. After you confirm by clicking the Analyze button, you'll see previews of the text that the extension has extracted from your images on their associated records.
Before savings the results you'll need to select a destination text field (using a single line text field or long text field) into which the extracted text can go. You can select the destination text field next to each of the options you've selected (shown in the screenshot below).
Next, click Save.
Extracted logos
Extracted logos will output the company or brand name associated with any logos depicted in your attachments.
Extracted text
Extracted text will pull words from your images and put them in a designated text field.
Extracted labels
Extracted labels will pull labels from your images and place them in the designated text field as comma separated values.