Connect BigML and Docparser to Build Intelligent Automations
Choose a Trigger
When this happens...
New Resource
Choose an Action
Automatically do this!
Upload a Document
List Parser Model Layouts
Fetch Document From Url
Fetch Data Of a Document
Ready to use BigML and Docparser automations
Actions and Triggers
When this happensTriggers
A trigger is an event that starts a workflow.
New Resource
Triggers when a new resource is created
Do thisActions
Action is the task that follows automatically within your BigML integrations.
Create Anomaly Score
Calculates the anomaly score of a data instance.
Create Centroid
Find out the closest cluster to your data instance
Create Prediction
Predict using a model , logistic regression or deepnets
Find Resource
Finds a resource
List Sources
Get all the sources.
List Datasets
Get all the dataset.
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Frequently Asked Questions
To start, connect both your BigML and Docparser accounts to viaSocket. Once connected, you can set up a workflow where an event in BigML triggers actions in Docparser (or vice versa).
Absolutely. You can customize how BigML data is recorded in Docparser. This includes choosing which data fields go into which fields of Docparser, setting up custom formats, and filtering out unwanted information.
The data sync between BigML and Docparser 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 BigML and Docparser. 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 BigML
BigML is a leading machine learning platform that provides a wide range of tools and services for creating, deploying, and managing machine learning models. It offers an intuitive interface and powerful APIs to help businesses and developers harness the power of machine learning for predictive analytics, anomaly detection, clustering, and more.
Learn MoreAbout Docparser
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.
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