Connect Docparser and BigML to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Docparser
Choose an Action
Automatically do this!
Create Anomaly Score
Create Centroid
Create Prediction
Find Resource
List Sources
List Datasets
List Sample
List Model
List Time Series
List Evaluations
List OptiMLs
List Clusters
List Anomaly Detectors
List Predictions
List Batch Predictions
List Forecasts
List Anomaly Scores
List Batch Anomaly Scores
List Topic Distributions
List Batch Topic Distributions
List Projections
List Batch Projections
List Scripts
List Executions
Ready to use Docparser and BigML 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 Docparser integrations.
Upload a Document
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 Parser Model Layouts
list of all the Model Layouts for a specific parser linked to your account.
Fetch Document From Url
get the document from the given url
Fetch Data Of a Document
get a document data from the document ID
Create Anomaly Score
Calculates the anomaly score of a data instance.
Create Centroid
Find out the closest cluster to your data instance
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Frequently Asked Questions
To start, connect both your Docparser and BigML accounts to viaSocket. Once connected, you can set up a workflow where an event in Docparser triggers actions in BigML (or vice versa).
Absolutely. You can customize how Docparser data is recorded in BigML. This includes choosing which data fields go into which fields of BigML, setting up custom formats, and filtering out unwanted information.
The data sync between Docparser and BigML 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 BigML. 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 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.
Learn MoreAbout 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.
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