Recognize text with PDF OCR using Zapier and PDF4me

Have a lot of files to recognize and convert with OCR? We capture a lot of images of documents or surfaces with text for extracting the data or for later reference. Converting scanned documents or images as text-searchable PDF files is important for their further processing. To make PDFs searchable, the most used technology is optical character recognition - OCR.

PDF4me provides high-quality PDF OCR that produces one of the most accurate text recognition. But when you have hundreds of scanned documents that need to be recognized the only solution would be automation. PDF4me has a solution for that also.

Combined with Zapier, PDF4me can automate business processes involving document jobs that are mundane and time-consuming. PDF4me with Zapier will connect you across data sources, apps, and services to easily create robust workflows to automate document jobs.

Let us look at an example where we can transform an image to PDF with PDF4me OCR action in Zapier. Say we have some images of documents or images with text in Google Drive or we expect them to arrive in a specific folder. Let us convert them to PDF and perform OCR.

Add a trigger for Google Drive

Zapier has multiple types of triggers to start your workflow. In this use case, add a Google Drive trigger to start the automation. As soon as the file is received in the folder, the Zap is triggered by this action.

Add and configure PDF OCR Action

From the PDF4me actions, list select PDF OCR.

File Content: Map source PDF file content from the previous action File Name: Map source PDF file content from the previous action Quality Type: Choose the quality type. Draft or High

PDF4me recommends High quality profile OCR for images which ensures accurate recognition even from complex images.

Save OCR processed files

Finally, after the OCR action add an action for storing the output PDF files to the desired storage. In the example we again use a Google Drive save action.