Split PDF Based on Text Search#

Enhance your Zapier workflow by integrating this step to segment PDF documents based on text search, including OCR capabilities. This feature is particularly useful for creating new PDF files from sections of the original document, identified through specific text or patterns using regular expressions.

Input#

Name	Description	Required
Source PDF URL	Provide the URL to the source PDF document, or a `filetoken://` link from PDF.co Built-In Files Storage. If you use another cloud service such as Google Drive or Dropbox ensure the link is publicly accessible.	Yes
Text Search String	Specify the text string for searching within the PDF pages.	Yes
Enable Case-Sensitive Search	Activate this to `True` for case-sensitive search. Default is `False`.	No
Enable Regular Expression Search	Set this to `True` to incorporate regular expressions in your search. The default is `False`.	No
Exclude Pages with Identified Text	Opt this to `True` to exclude pages where the text is found. Default is `False`.	No
OCR Language	Select the OCR language for text recognition in scanned PDFs. Default is English.	No
Base Filename for New PDFs	Define the base filename for the newly created segmented PDF files.	No
Custom Profiles	A `JSON` string which adds options for the conversion process. See API Profiles for more.	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.

Output#

Name	Description
`url1`	This represents the temporary URL of the output file hosted on the PDF.co file server.
`url2`	Similarly, this is the temporary URL for another output file on the PDF.co file server. This pattern is used for all output files.
`urls`	This is an array of temporary URLs, each pointing to an output file.
`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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