Connect Base64.ai and Maestra to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Base64.ai
Choose an Action
Automatically do this!
Create Channel
Upload File
List Files
Enable Integrations or automations with these events of Base64.ai and Maestra
Enable Integrations or automations with these events of Base64.ai and Maestra
Actions
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.).
Create Channel
Create a new workspace channel
Upload File
Uploads a file to Maestra to start speech-to-text and translation into selected languages.
List Files
Show uploaded audio files
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Frequently Asked Questions
To start, connect both your Base64.ai and Maestra accounts to viaSocket. Once connected, you can set up a workflow where an event in Base64.ai triggers actions in Maestra (or vice versa).
Absolutely. You can customize how Base64.ai data is recorded in Maestra. This includes choosing which data fields go into which fields of Maestra, setting up custom formats, and filtering out unwanted information.
The data sync between Base64.ai and Maestra 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 Base64.ai and Maestra. 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 Maestra
Maestra is a highly accurate speech to text software. Translate in English, French, Spanish, German and 80+ languages.
Learn More
