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OCR-based scanner for digitizing handwritten text
OCR (Optical Character Recognition) is used to convert scanned images or documents containing text into editable and searchable digital text.
The applications of OCR-based scanners for converting handwritten text into digital text are extensive and can benefit various industries and business functions.
Use case examples:
Document Digitization
Businesses dealing with a large volume of handwritten documents, such as legal firms, healthcare providers, or historical archives, can use OCR scanners to convert handwritten notes, letters, or manuscripts into searchable digital text. This facilitates easy retrieval and archival of information.
Receipt and Invoice Processing
Retailers, restaurants, and accounting firms can benefit from OCR-based scanners to extract data from handwritten receipts and invoices. This streamlines the process of expense tracking, auditing, and financial analysis.
Handwritten Note Transcription
Professionals like doctors, researchers, or students often take handwritten notes during meetings, lectures, or brainstorming sessions. An OCR scanner can convert these handwritten notes into editable digital text, enabling easy sharing, editing, and collaboration.
Our demo showcases the capabilities of OCR for digitizing handwritten text from letters or notes.
Follow these steps to test the demo:
1
Upload an image OR select a preset
2
Select a line of text to recognize
by moving the selection area
3
Click 'Process file' and get the result
Try Ready Presets!
Recognize your text!
Your result will appear here
Remember, the demos presented on our platform are still not the final products. Instead, think of them as the foundation typically laid at the start of a project.
As the project makes progress, models and methods will be refined through iterative training on your datasets, and customized pre-processing and post-processing to meet your business needs.
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Let's discuss your project! Our team will review the details and respond within one business day.
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