Affinda provides an AI-powered document processing platform that automates data extraction from various document types.
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Available Tools
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Triggers
Tool to add a tag to multiple documents in a single operation. Use when you need to organize or categorize multiple documents by assigning them a shared tag. Tags enable efficient filtering and grouping of documents in your workspace.
Batch update multiple document annotations in a single API call. Use this action to efficiently update parsed values or other fields across many annotations at once, rather than making individual update requests for each annotation. Prerequisites: - Obtain annotation IDs using the 'Get Annotations' action with a document filter - Annotations must exist in documents that have been processed by Affinda Common use cases: - Correcting OCR/extraction errors in bulk - Updating parsed values after manual review - Modifying annotation data programmatically
Tool to create new creative elements in a Snapchat ad account. Use when you need to create dynamic ad elements like buttons for product catalogs or dynamic collections. Once created, creative elements cannot be updated and are immutable.
Tool to generate targeting insights for a Snapchat ad account. Use when you need to analyze and compare audience demographics, size, and characteristics between a base targeting spec and a target targeting spec. Returns detailed breakdowns including age groups, gender, languages, geographic distribution, and audience size estimates.
Tool to create a new API user within an organization. Use when you need to generate a new API user with authentication credentials for programmatic access to Affinda services.
Batch create multiple document annotations in a single API call. Use this action to efficiently create multiple annotations at once for documents that have been processed by Affinda. This is useful for programmatically adding structured data to documents or importing annotation data from external sources. Prerequisites: - Documents must be created first using 'Create Document' action - Obtain document identifiers from 'Create Document' or 'Get Documents' actions - Know the data point identifiers for your collection (from extractor configuration) Common use cases: - Importing annotation data from external systems - Programmatically adding structured data to documents - Creating annotations for validation or training purposes
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