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**How can I convert a table imaged in a document to usable data in Excel or Word using optical character recognition (OCR) or other methods?**
The accuracy of OCR depends on the quality of the image, with high-quality images yielding higher accuracy rates.
OCR technology uses pattern recognition to identify characters, and can be trained to recognize specific fonts and languages.
The process of OCR involves several stages, including image preprocessing, feature extraction, and character recognition.
One-click conversion of image files to editable tables using OCR-based tools is possible, but may require an API key with credits associated with it.
Automated OCR-based tools can detect and extract table data, and even correct and refine extracted data.
Microsoft's Data from Picture feature allows users to import images of tables and convert them into editable tables.
Table Reader, a free online OCR tool, can convert image files to editable tables in seconds.
Optical character recognition (OCR) technology can also be used to extract individual fields from table images.
To get the best results from OCR, images should be head-on, in focus, and depict only the data to be imported.
Cropping the image to exactly only the table can limit the processing area and improve accuracy.
Some OCR tools, like Convertio, can convert scanned documents into editable Word, PDF, Excel, and text output formats.
The "Get Data from Picture" feature in Excel allows users to import images and convert them into editable tables.
The table OCR mode in some APIs triggers the table scanning logic, allowing for the extraction of table data from images and PDFs.
The structure of the text output from OCR tools can be influenced by the layout and structure of the original table image.
Some online OCR tools, like Smallpdf, offer free PDF OCR services, allowing users to extract text from images and PDFs.
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