Make scanned documents and images machine-readable
Paper in, digital data out: the AI OCR action of linqi recognises text in scanned documents, photos and images – enforceable on demand. The extracted text can be processed and reused directly within the process.
Text recognition makes scanned and image-based incoming content machine-readable, without you having to type it in manually. The recognised text is immediately available to your further process steps – for example for data extraction, archiving or further processing. This cleanly transfers paper-based workflows into your digital processes. You can trigger the OCR action precisely where it is needed in the process and configure it like any other action in the linqi designer – without programming.
Every scanned case becomes a clean digital process: the text is recognised, structured and available to the following steps – from intake to archiving in one place.
- Text recognition for scans, photos and images
- OCR triggered precisely when you need it
- Text directly usable in the process
From paper and scans to digital data
The OCR action recognises text in scanned documents, photos and images and makes it machine-readable. The recognised text is available to your further process steps – for example for data extraction, archiving or further processing. This reliably transfers paper-based or scanned incoming content into your digital workflows.
Especially where documents are still fed into the process via scan or photo today, OCR creates continuous digital, reusable texts. You avoid manual typing, reduce entry errors and speed up the entire workflow. Combined with data extraction, structured values can be gained directly from a scan – from intake to archiving in one place.
Frequently asked questions about AI OCR
Which files can linqi process with OCR?
Scanned documents, photos and images. Text recognition makes the contained text machine-readable.
Can I process the recognized text further?
Yes. The recognized text is available to the following process steps – for example for data extraction or archiving.
When is OCR worthwhile in a process?
Especially where paper-based or scanned input has to be brought into your digital workflows without being re-typed by hand.