Connect AltTextLab and Linguin AI to Build Intelligent Automations
Enable Integrations or automations with these events of AltTextLab and Linguin AI
Enable Integrations or automations with these events of AltTextLab and Linguin AI
Actions
Generate Alt Text
Create descriptive alt text for an image URL using language, writing style, keywords, and optional product details.
Detect Language
Detect the language(s) of the provided text and return each language with a confidence score.
Bulk Detect Language
Detect the language and confidence score for each text in a batch.
Profanity Detection
Analyze input text and return a profanity score indicating the likelihood of offensive language.
Bulk Profanity Detection
Analyze a list of texts and return a profanity score for each, indicating offensive or abusive language.
Get Supported Languages
Retrieve the list of language codes and display names supported by Linguin AI.
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Frequently Asked Questions
To start, connect both your AltTextLab and Linguin AI accounts to viaSocket. Once connected, you can set up a workflow where an event in AltTextLab triggers actions in Linguin AI (or vice versa).
Absolutely. You can customize how AltTextLab data is recorded in Linguin AI. This includes choosing which data fields go into which fields of Linguin AI, setting up custom formats, and filtering out unwanted information.
The data sync between AltTextLab and Linguin AI typically happens in real-time through instant triggers. And a maximum of 15 minutes in case of a scheduled trigger.
Yes, viaSocket allows you to add custom logic or use built-in filters to modify data according to your needs.
Yes, you can set conditional logic to control the flow of data between AltTextLab and Linguin AI. For instance, you can specify that data should only be sent if certain conditions are met, or you can create if/else statements to manage different outcomes.
About AltTextLab
AltTextLab is a specialized platform designed to enhance accessibility by providing tools for generating and managing alternative text for images. It helps users ensure their content is inclusive and accessible to all audiences, including those using screen readers.
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