ocrapi
  1. Preprocessing
ocrapi
  • ImageOcr
    • Convert a scanned image into words with location
      POST
    • Convert a scanned image into words with location
      POST
    • Convert a scanned image into text
      POST
    • Recognize a photo of a business card, extract key business information
      POST
    • Recognize a photo of a form, extract key fields and business information
      POST
    • Recognize a photo of a form, extract key fields using stored templates
      POST
    • Recognize a photo of a receipt, extract key business information
      POST
    • Convert a photo of a document or receipt into words with location
      POST
    • Convert a photo of a document into text
      POST
  • PdfOcr
    • Convert a PDF into text lines with location
      POST
    • Convert a PDF into words with location
      POST
    • Converts an uploaded PDF file into text via Optical Character Recognition.
      POST
  • Preprocessing
    • Convert an image of text into a binarized (light and dark) view
      POST
    • Convert an image of text into a binary (light and dark) view with ML
      POST
    • Get the angle of the page / document / receipt
      POST
    • Detect and unrotate a document image
      POST
    • Detect and unrotate a document image (advanced)
      POST
    • Detect and unskew a photo of a document
      POST
  • Receipts
    • Convert a photo of a receipt into a CSV file containing structured information from the receipt
      POST
  1. Preprocessing

Convert an image of text into a binarized (light and dark) view

POST
/ocr/preprocessing/image/binarize
Perform an adaptive binarization algorithm on the input image to prepare it for further OCR operations.
Request Request Example
Shell
JavaScript
Java
Swift
curl --location --request POST 'https://api.cloudmersive.com/ocr/preprocessing/image/binarize' \
--form 'imageFile=@""'
Response Response Example
"string"

Request

Body Params multipart/form-data

Responses

🟢200OK
application/json
Body

Modified at 2023-08-15 09:12:04
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Converts an uploaded PDF file into text via Optical Character Recognition.
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Convert an image of text into a binary (light and dark) view with ML
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