Connect Extracta.ai and kazm to Build Intelligent Automations
Choose a Trigger
When this happens...
- Request a new Trigger for Extracta.ai
Choose an Action
Automatically do this!
- Request a new Action for kazm
Enable Integrations or automations with these events of Extracta.ai and kazm
Enable Integrations or automations with these events of Extracta.ai and kazm
Actions
Create extraction
Create an extraction that captures specified fields from your documents.
Update extraction
Update an extraction's name, description, language, processing options, and fields.
View Extraction
Retrieve details for a specific extraction, including its name, language, options, status, and fields.
Delete Extraction
Delete an entire extraction, a specific batch, or a single file.
Upload Files
Upload one or more files to an extraction for processing, and optionally add them to an existing batch.
Get Extraction results
Get extraction results and file links for a batch or a specific file.
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Frequently Asked Questions
To start, connect both your Extracta.ai and kazm accounts to viaSocket. Once connected, you can set up a workflow where an event in Extracta.ai triggers actions in kazm (or vice versa).
Absolutely. You can customize how Extracta.ai data is recorded in kazm. This includes choosing which data fields go into which fields of kazm, setting up custom formats, and filtering out unwanted information.
The data sync between Extracta.ai and kazm 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 Extracta.ai and kazm. 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 Extracta.ai
Extracta.ai is a cutting-edge AI tool designed to streamline data extraction processes. It leverages advanced machine learning algorithms to efficiently extract, process, and analyze data from various sources, making it an invaluable asset for businesses looking to enhance their data-driven decision-making capabilities.
Learn MoreAbout kazm
Kazm is the data-driven CRM for Web3. We plug into every community touchpoint to create unified customer profiles, then apply machine learning and other methods to label, segment, and help personalize experiences for users.
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