Document Classifier#

Integrate this step into your Zapier workflow to analyze the text of a document using AI and classify it into categories like invoice, order, or industry. This feature is useful for quickly identifying the origin of a document and can be customized with specific rules.

Zapier Step

Input#

Name	Description	Required
Input Document URL	Provide the URL of the input PDF document or a `filetoken://` link from PDF.co Built-In Files Storage. For other cloud services like Google Drive or Dropbox, ensure the link is publicly accessible.	Yes
Custom Classification Rules	Define classification rules in CSV format, if required. Format per row: `classname,logic,keyword1,keyword2`. Example: `Amazon,AND,Amazon AWS,AWS Invoice`. Refer to PDF Classifier for detailed instructions.	No
CSV Rules URL	Provide a URL to a CSV file containing custom classification rules. The format for each row should be: `classname,logic,keyword1,keyword2`. Example: `Amazon,AND,Amazon AWS,AWS Invoice`.	No
Enable Case Sensitive Custom Rules	Indicate if the keywords in the custom rules should be case sensitive.	No
Custom Profiles	Enter additional options for the classification process in a `JSON` string format. See API Profiles for more information.	No

Source PDF URL & Google#

Note

When using Google Drive, it’s typically recommended to choose the File option. For more advanced file integration techniques, see Integrating File Sources with pdf.co.

Google File

Output#

Name	Description
`url`	The temporary URL on the PDF.co file server.
`classes`	An array containing possible category of input document.
`outputLinkValidTill`	A timestamp which indicates how long the `url` will be available for.
`error`	Details of any errors (if any).
`status`	The response status code. If all good this will be `200`.
`jobId`	The unique identifier for the job.
`credits`	The credits spent on the process.
`remainingCredits`	The credits left on your account.
`duration`	The time it took for the process.

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