Mindee V2

mindee is an ai powered platform for automating document data extraction and processing via apis integrating it with make com enables users to automate workflows involving document ingestion, classification, and data extraction across various business processes this is ai generated content based on official mindee v2 documentation the content may still contain errors—please verify important information if you have questions on vendor documentation, contact https //www mindee com/ directly requirements to use the mindee v2 app in make, you must have an active account and an api key, https //www mindee com/ connect mindee v2 and {{product name}} to get started, you must first create a connection between mindee v2 and {{product name}} , allowing the two services to communicate you can connect using the following method api key api key instructions you need to create and retrieve your api key from the mindee platform navigate to the left hand menu and click on settings go to the api keys tab click on the create api key button provide a name for your api key click create api to generate your api key copy the generated api key create the connection in {{product name}} https //www make com/en/register , add the mindee v2 module to your {{scenario singular lowercase}} , and click create a connection if you add a module with an instant tag, click create a webhook , then create a connection optional in the connection name field, enter a name for the connection enter the authentication credentials you copied from your mindee v2 or follow the on screen instructions to create the connection for detailed information on connecting an application, see docid\ so88fm6pkt0g adkddfzz page mindee v2 modules after connecting to the mindee v2 app, you can choose from a list of available modules to build your {{scenario plural lowercase}} enqueue a file uploads a file to the mindee v2 api for ai powered data extraction, then retrieves the extracted data either by manually polling or via a webhook, and returns a json output with details about the processing job in the queue extract document data extract specific information from a document file using one of your custom built models on mindee, and return the processed results make an api call executes a custom api request to the connected service using your authorized credentials retrieve an inference checks the status and retrieves the results of a previously submitted document by polling a specific queue using its id on the mindee v2 api templates you can look for more templates in https //www make com/en/templates , where you'll find thousands of pre created {{scenario plural lowercase}} mindee v2 resources you can have access to more resources related to this app on the following links https //community make com/search?q=mindee%20v2 https //www mindee com/ https //docs mindee com/integrations/api keys https //www make com/en/integrations/mindee