Feature
Recognize and crop documents from client images
When your clients don't use a scanner or scanning app, you receive documents as simple photos, where often neither the orientation is correct nor the image cropping is optimal.
MaraDocs recognizes documents in images and crops them, rotates them according to their text direction, and then automatically creates searchable PDFs.
- Document Recognition: Documents photographed in images are automatically located, cropped, and straightened.
- Multi-Document Recognition: MaraDocs recognizes up to 5 simultaneously present documents per image and crops each one.
- Perspective Correction: MaraDocs uses advanced algorithms to correctly align images and AI from the field of computer vision to correct creases, shadows, and perspective distortions.
- Text Recognition: PDFs processed by MaraDocs are analyzed using state-of-the-art text recognition (selectable text).
Video tutorial for extracting documents from images
The short video tutorial shows the simple workflow for extracting documents from images.
Guide to extracting documents from images
Upload and process
In the first step, one or more image files are uploaded. MaraDocs automatically starts the analysis and automatically recognizes up to 5 documents per image.
Manually adjusting the cutouts
If you click on either the uploaded image or the scissors icon to the left of the input image, you can manually adjust the automatically detected areas.
To do this, drag the corner points to the desired position with your mouse (click, hold, and drag).
Using the Add and Remove buttons, you can define additional independent cutouts. In add mode, you'll be prompted to create four corner points by simply clicking. You can then adjust these as needed.
With the Area Selection button, you decide whether to use the entire image or only the partial cutouts.
Especially in traffic law or labor law, we keep getting images that are mostly border... With MaraDocs, we can very conveniently extract the documents that actually matter. Love it.
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