Scan Text From Image

Guys who want text from image hassle free, this app makes their time better.

Convert Scanned Image to Text:

Offices everywhere use scanning to make document sharing quicker and

easier. Scanning produces electronic files and reduces the dependency on

paper forms. However to make the most of your scans you need to convert

scanned images to text with OCR. Performing this step is crucial to

maximizing efficiency and productivity.

Why Convert Scanned Image to Text?

The need to convert scanned image to text arises from the fact that

scans are neither text searchable nor editable. This is problematic in

settings such as offices that have to deal with high volume scanning and

large batches of documents. Instead of using valuable time to look

through databases of files for specific data you can convert scanned

image to text with OCR to render it text searchable. OCR, which stands

for optical character recognition, is a software tool that can recognize

the text from a scan and then convert the file into a text file. Once

OCR has been performed on the scans you can use the search function to

quickly locate information, saving time and resources.

Software to Convert Scanned Image to Text:

OCR is a useful technology because it allows you to convert scanned

image to text. It has applications in a variety of settings, from an

individual end-user at home to large company offices. Once files are

text searchable they become easier to work with. With less time spent on

document management, more time can be allocated towards more productive

tasks. You can try out one of the best OCR software available in the

market from CVISION Technologies.

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Optical character recognition (also optical character reader, OCR) is

the mechanical or electronic conversion of images of typed, handwritten

or printed text into machine-encoded text, whether from a scanned

document, a photo of a document, a scene-photo (for example the text on

signs and billboards in a landscape photo) or from subtitle text

superimposed on an image (for example from a television broadcast).

Widely used as a form of information entry from printed paper data

records – whether passport documents, invoices, bank statements,

computerised receipts, business cards, mail, printouts of static-data,

or any suitable documentation – it is a common method of digitising

printed texts so that they can be electronically edited, searched,

stored more compactly, displayed on-line, and used in machine processes

such as cognitive computing, machine translation, (extracted) text-to-

speech, key data and text mining. OCR is a field of research in pattern

recognition, artificial intelligence and computer vision.

Early versions needed to be trained with images of each character, and

worked on one font at a time. Advanced systems capable of producing a

high degree of recognition accuracy for most fonts are now common, and

with support for a variety of digital image file format inputs. Some

systems are capable of reproducing formatted output that closely

approximates the original page including images, columns, and other

non-textual components.