Enhance your WordPress content with Artificial Intelligence and Machine Learning services.
- Features
- Requirements
- Pricing
- Installation
- Register ClassifAI account
- Set Up Language Processing
- Set Up Image Processing
- WP CLI Commands
- FAQs
- Support
- Changelog
- Contributing
- Classify your content using IBM Watson's Natural Language Understanding API and Microsoft Azure's Computer Vision API
- Supports Watson's Categories, Keywords, Concepts & Entities and Azure's Describe Image
- Automatically classify content and images on save
- Automatically generate alt text and image tags for images
- Automatically scan images and PDF files for embedded text and save for use in WordPress
- Smartly crop images around a region of interest identified by Computer Vision
- Bulk classify content with WP-CLI
Language Processing - Tagging | Image Processing - Alt Text | Image Processing - Smart Cropping | Image Processing - Tagging |
---|---|---|---|
- PHP 7.0+
- WordPress 5.0+
- To utilize the Language Processing functionality, you will need an active IBM Watson account.
- To utilize the Image Processing functionality, you will need an active Microsoft Azure account.
Note that there is no cost to using ClassifAI and that both IBM Watson and Microsoft Azure have free plans for their AI services, but that above those free plans there are paid levels as well. So if you expect to process a high volume of content, then you'll want to review the pricing plans for these services to understand if you'll incur any costs. For the most part, both services' free plans are quite generous and should at least allow for testing ClassifAI to better understand its featureset and could at best allow for totally free usage.
The service that powers ClassifAI's Language Processing, IBM Watson's Natural Language Understanding ("NLU"), has a "lite" pricing tier that offers 30,000 free NLU items per month.
The service that powers ClassifAI's Image Processing, Microsoft Azure's Computer Vision, has a "free" pricing tier that offers 20 transactions per minute and 5,000 transactions per month.
git clone https://github.com/10up/classifai.git && cd classifai
composer install && npm install && npm run build
ClassifAI is a sophisticated solution that we want organizations of all shapes and sizes to count on. To keep adopters apprised of major updates and beta testing opportunities, gather feedback, and prioritize common use cases, we're asking for a little bit of information in exchange for a free key. Your information will be kept confidential.
- Register for a free ClassifAI account here.
- Check for an email from
ClassifAI Team
which contains the registration key. - Note that the email will be sent from
opensource@10up.com
, so please whitelist this email address if needed.
- In the
Registered Email
field, enter the email you used for registration. - In the
Registration Key
field, enter the registration key from the email in step 1 above.
- Register for an IBM Cloud account or sign into your existing one.
- Check for an email from
IBM Cloud
and click theConfirm Account
link. - Log into your account (accepting the privacy policy) and create a new Natural Language Understanding Resource if you do not already have one. It may take a minute for your account to fully populate with the default resource group to use.
- Click
Manage
in the left hand menu, thenShow credentials
on the Manage page to view the credentials for this resource.
The credentials screen will show either an API key or a username/password combination.
- In the
API URL
field enter the URL - Enter your API Key in the
API Key
field.
- In the
API URL
field enter the URL - Enter the
username
value into theAPI Username
. - Enter the
password
into theAPI Key
field.
3. Configure Post Types to classify and IBM Watson Features to enable under ClassifAI > Language Processing
- Choose which public post types to classify when saved.
- Choose whether to assign category, keyword, entity, and concept as well as the thresholds and taxonomies used for each.
Note that Computer Vision can analyze and crop images that meet the following requirements:
- The image must be presented in JPEG, PNG, GIF, or BMP format
- The file size of the image must be less than 4 megabytes (MB)
- The dimensions of the image must be greater than 50 x 50 pixels
- The file must be externally accessible via URL (i.e. local sites and setups that block direct file access will not work out of the box)
- Register for a Microsoft Azure account or sign into your existing one.
- Log into your account and create a new Computer Vision Service if you do not already have one. It may take a minute for your account to fully populate with the default resource group to use.
- Click
Keys and Endpoint
in the left hand Resource Management menu to view theEndpoint
URL for this resource. - Click the copy icon next to
KEY 1
to copy the API Key credential for this resource.
- In the
Endpoint URL
field, enter yourAPI endpoint
. - In the
API Key
field, enter yourKEY 1
.
- Choose to
Automatically Caption Images
,Automatically Tag Images
,Enable smart cropping
, and/orEnable OCR
. - For features that have thresholds or taxonomy settings, set those as well.
$ wp classifai post {post_ids} [--post_type=<post_type>] [--limit=<limit>] [--link=<link>]
Batch post classification using IBM Watson NLU API.
{post_ids}
A comma delimited list of post IDs to classify. Used if post_type
is false or absent.
default: true
--post_type=<post_type>
Batch classify posts belonging to this post type. If false
or absent relies on post_ids
.
default: false
options:
- any post type name
false
, if args containspost_ids
--limit=<limit>
Limit classification to N posts.
default: false
options:
false
, no limitN
, max number of posts to classify
--link=<link>
Whether to link classification results to Taxonomy terms.
default: true
$ wp classifai text {text} [--category=<bool>] [--keyword=<bool>] [--concept=<bool>] [--entity=<bool>] [--input=<input>] [--only-normalize=<bool>]
Directly classify text using IBM Watson NLU API.
--category=<bool>
Enables NLU category feature.
default: true
--keyword=<bool>
Enables NLU keyword feature.
default: true
--concept=<bool>
Enables NLU concept feature.
default: true
--entity=<bool>
Enables NLU entity feature.
default: true
--input=<input>
Path to input file or URL.
default: false
options:
- path to local file
- path to remote URL
false
, uses args[0] instead
--only-normalize=<bool>
Prints the normalized text that will be sent to the NLU API.
default: false
$ wp classifai image {attachment_ids} [--limit=<int>] [--skip=<skip>] [--force]
Directly add description "alt text" and tags to attachment(s) using Azure AI Computer Vision API.
{attachment_ids}
Comma delimeted list of Attachment IDs to classify.
--limit=<int>
Limit number of attachments to classify.
default: 100
.
--skip=<skip>
Skip first N attachments.
default: false
.
--force
Force classifying attachments regardless of their alt
.
default: false
.
$ wp classifai crop {attachment_ids} [--limit=<limit>] [--skip=<skip>]
Batch crop image(s) using Azure AI Computer Vision API.
{attachment_ids}
Comma delimeted list of Attachment IDs to crop.
--limit=<limit>
Limit number of images to crop.
default: 100
.
--skip=<skip>
Skip first N images.
default: false
.
$ wp classifai auth
Prints the Basic Auth header based on credentials configured in the plugin.
$ wp classifai reset
Restores the plugin configuration to factory defaults. Any API credentials will need to be re-entered after this is ran.
ClassifAI connects your WordPress site directly to your account with specific service provider(s) (e.g. Microsoft Azure AI, IBM Watson), so no data is gathered by 10up. The data gathered in our registration form is used simply to stay in touch with users so we can provide product updates and news. More information is available in the Privacy Policy on ClassifAIplugin.com.
Categories are five levels of hierarchies that IBM Watson can identify from your text. Keywords are specific terms from your text that IBM Watson is able to identify. Concepts are high-level concepts that are not necessarily directly referenced in your text. Entities are people, companies, locations, and classifications that are made by IBM Watson from your text.
Whatever options you have selected in the Category, Keyword, Entity, and Concept taxonomy dropdowns in the Language Processing settings can be viewed within Classic Editor metaboxes and the Block Editor side panel. They can also be viewed in the All Posts and All Pages table list views by utilizing the Screen Options to enable those columns if they're not already appearing in your table list view.
Active: 10up is actively working on this, and we expect to continue work for the foreseeable future including keeping tested up to the most recent version of WordPress. Bug reports, feature requests, questions, and pull requests are welcome.
A complete listing of all notable changes to ClassifAI are documented in CHANGELOG.md.
Please read CODE_OF_CONDUCT.md for details on our code of conduct, CONTRIBUTING.md for details on the process for submitting pull requests to us, and CREDITS.md for a listing of maintainers, contributors, and libraries for ClassifAI.