microsoft computer vision api

What is OCR?

OCR stands for Optical character recognition. It simply means the ability of a device to read and interpret characters.

Here are three methods to search for text inside images use OCR without any coding knowledge

  1. Use Google keep
    • Go to and upload images and search for the text you want to search for.
  2. Use Google drive
    • Open and just use the search bar to search for images that are already inside your drive.
  3. Use
    • Go to and use the search bar to search for images inside google.
  4. Use a external OCR service –
    • You can use to upload and search for images inside them.

If you are a programmer and would like to do OCR in your applications at scale, then you should look for a OCR API.

How to search for text in images using OCR 1

Here are the best OCR APIs-

  1. Googe cloud vision api -ocrThe Vision API can detect and extract text from images. There are two annotation features that support optical character recognition (OCR):
    • TEXT_DETECTION detects and extracts text from any image. For example, a photograph might contain a street sign or traffic sign. The JSON includes the entire extracted string, as well as individual words, and their bounding boxes.Road sign image
    • DOCUMENT_TEXT_DETECTION also extracts text from an image, but the response is optimized for dense text and documents. The JSON includes page, block, paragraph, word, and break information.Dense image with annotations

      Learn more about DOCUMENT_TEXT_DETECTION for handwriting extraction and text extraction from files (PDF/TIFF).

  2. Microsoft computer vision API-

    The Microsoft Computer Vision API is a comprehensive set of computer vision tools, spanning capabilities like generating smart image thumbnails, recognizing celebrities in images and describing the content of images using AI.

    microsoft computer vision api
    microsoft computer vision api



By Muthali Ganesh

I am an engineer wih a masters in business administration from Chennai, India. I love discovering and sharing hacks.