Extract text from images (Optical Character Recognition)
Optical character recognition or optical character reader (OCR) is the
mechnism of conversion of images of typed, handwritten or printed text into a
text document.The input to this technique could be a scanned document, photo of
hand written document, billboards in a landscape photo) or from subtitle text
superimposed on an image (for example: from a television broadcast). The output
from this process will be simple text extract from the images. There are
multiple techniques which are available online which provides well formed
document as output
Multiple websites are available online which could be used to extract text. For e.g. refer the below mentioned site https://miniimagesvideos.com/ocr_online
Use the following steps to extract text from image
Go to the URL
Click the upload button to select the file. If you are using desktop then drag drop feature can be used to upload file
The output will be generated in text format
Please note for table tab seperated content will be generated
Click on the download link below thumbnail to dowload extract in the required text format
This OCR process can support 80+ language. For e.g. Arabic OCR, German OCR, French OCR, Spanish OCR etc
Please note following are always are very useful tricks to ensure a high quality output
Format: You can convert .JPEG, .PNG, .GIF, or PDF (multipage documents) files.
File size: The file should be 6 MB or less.
Resolution: Text should be at least 10 pixels high.
Orientation: Documents must be right-side up. If your image is facing the wrong way, rotate it
Image quality: Sharp images with even lighting and clear contrasts work best.
To support the multi lingual the following links can be used for indonesia
https://miniimagesvideos.com/id_ocr_online
Multiple websites are available online which could be used to extract text. For e.g. refer the below mentioned site https://miniimagesvideos.com/ocr_online
Use the following steps to extract text from image
This OCR process can support 80+ language. For e.g. Arabic OCR, German OCR, French OCR, Spanish OCR etc
Please note following are always are very useful tricks to ensure a high quality output
Comments
Post a Comment