Enable Integrations or automations with these events of Docparser and AI/ML API
Upload a new document to Docparser for immediate parsing; to receive results, ensure a separate Zap with the "New Parsed Data Available" Trigger is set up.
list of all the Model Layouts for a specific parser linked to your account.
get the document from the given url
get a document data from the document ID
Initiates a conversation with the AI model, providing prompts and generating responses based on the chat messages.
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Workflow automation is the process of using technology to execute repetitive tasks with minimal human intervention, creating a seamless flow of activities.
To start, connect both your Docparser and AI/ML API accounts to viaSocket. Once connected, you can set up a workflow where an event in Docparser triggers actions in AI/ML API (or vice versa).
Absolutely. You can customize how Docparser data is recorded in AI/ML API. This includes choosing which data fields go into which fields of AI/ML API, setting up custom formats, and filtering out unwanted information.
The data sync between Docparser and AI/ML API 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 Docparser and AI/ML API. 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.
Docparser is a cloud-based document data extraction tool which automates the process of converting PDFs, Microsoft Office documents, and other formatted files into structured data. Docparser can be used to automate various business processes by capturing data fields from your documents and feeding the parsed data into other software applications.
Learn MoreAI/ML API provides advanced artificial intelligence and machine learning capabilities to developers and businesses, enabling them to integrate intelligent features into their applications. With a wide range of AI models and tools, users can enhance their software with capabilities such as natural language processing, image recognition, predictive analytics, and more.
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