AI
Extract Text (OCR)
Overview:
The Extract Text OCR block leverages Optical Character Recognition (OCR) technology to efficiently extract text from images or scanned documents. This powerful tool enhances accessibility and usability of textual information embedded in visual formats.
Inputs & Outputs
| I/O | Feature | Type | Simple Explanation |
|---|---|---|---|
| input | file_name | file | The file containing the image or document for OCR. |
| output | extracted_text | string | The text extracted from the provided file, ready for use. |
Use Cases
Consider how this block can streamline processes across various scenarios:
- Digitization of Documents: Transform scanned paper files into digital formats, making them searchable and editable with ease.
- Data Extraction from Images: Efficiently pull textual information from photos or graphics, such as screenshots of reports.
- Automated Data Entry: Reduce manual data entry errors by automatically extracting key text details from forms and invoices.
- Text Analysis: Enable quick analysis of large volumes of data captured through images for insights or reporting purposes.
- Content Management: Organize and store valuable content extracted from images, facilitating better content retrieval and management.
In summary, whenever there is a need to transition written content found in images into accessible digital text formats, the Extract Text OCR block is an invaluable asset!