Connect TextRazor and Base64.ai to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for TextRazor
Choose an Action
Automatically do this!
Scan a document by URL
Scan a Document by Bytes
Enable Integrations or automations with these events of TextRazor and Base64.ai
Enable Integrations or automations with these events of TextRazor and Base64.ai
Actions
Analyze Text
Processes and analyzes the provided text to extract entities, topics, and other linguistic features.
Scan a document by URL
Scans a document that is provided by a URL or Hydrate File. File can be an image (jpeg, png etc.), PDF, zip or an office document (.doc, .docx, etc.).
Scan a Document by Bytes
Scans a document that is provided by a string of bytes (e.g. data:image/png;base64,iVBORw0KGgoAAAANSUhEU...). File can be an image (jpeg, png etc.), PDF, zip or an office document (.doc, .docx, etc.).
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Frequently Asked Questions
To start, connect both your TextRazor and Base64.ai accounts to viaSocket. Once connected, you can set up a workflow where an event in TextRazor triggers actions in Base64.ai (or vice versa).
Absolutely. You can customize how TextRazor data is recorded in Base64.ai. This includes choosing which data fields go into which fields of Base64.ai, setting up custom formats, and filtering out unwanted information.
The data sync between TextRazor and Base64.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 TextRazor and Base64.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 TextRazor
TextRazor is a powerful natural language processing API that provides advanced text analysis capabilities. It allows users to extract meaningful insights from text data, including entity recognition, sentiment analysis, and language detection. TextRazor is ideal for developers and businesses looking to enhance their applications with AI-driven text analysis features.
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