An image capture system is used to scan and convert physical documents into digital format, allowing for easier storage, retrieval, and processing.

Resolution determines the quality of the captured image. Higher resolution ensures clearer images with more detail, which is essential for document clarity and OCR accuracy.

OCR is used to convert scanned images of text into machine-readable text, allowing for easier search, indexing, and processing of the document content.

Color accuracy ensures that the captured image faithfully represents the original document, which is critical for documents with color-coded information or photographs.

Image compression reduces the file size of the captured image, making it easier to store and transfer, but may reduce image quality if the compression is too high.

A flatbed scanner captures high-quality digital images of documents by scanning them under a transparent surface, providing a high level of detail and accuracy.

Image processing enhances the quality of the captured images, removing distortions, improving contrast, and ensuring that the images are clear and readable for further analysis or storage.

Batch scanning allows large volumes of documents to be scanned quickly and efficiently, increasing productivity and reducing manual handling of documents.

The quality of image capture directly impacts the clarity and usefulness of digital documents. Higher quality captures result in better OCR accuracy and easier document processing.