img2txt | Easy formatted text extraction from images using Google | Computer Vision library

 by   mathigatti Python Version: Current License: MIT

kandi X-RAY | img2txt Summary

kandi X-RAY | img2txt Summary

img2txt is a Python library typically used in Artificial Intelligence, Computer Vision applications. img2txt has no bugs, it has no vulnerabilities, it has build file available, it has a Permissive License and it has low support. You can download it from GitHub.

Easy formatted text extraction from images using Google Vision API

            kandi-support Support

              img2txt has a low active ecosystem.
              It has 19 star(s) with 10 fork(s). There are 3 watchers for this library.
              It had no major release in the last 6 months.
              There are 0 open issues and 1 have been closed. On average issues are closed in 1 days. There are no pull requests.
              It has a neutral sentiment in the developer community.
              The latest version of img2txt is current.

            kandi-Quality Quality

              img2txt has 0 bugs and 37 code smells.

            kandi-Security Security

              img2txt has no vulnerabilities reported, and its dependent libraries have no vulnerabilities reported.
              img2txt code analysis shows 0 unresolved vulnerabilities.
              There are 0 security hotspots that need review.

            kandi-License License

              img2txt is licensed under the MIT License. This license is Permissive.
              Permissive licenses have the least restrictions, and you can use them in most projects.

            kandi-Reuse Reuse

              img2txt releases are not available. You will need to build from source code and install.
              Build file is available. You can build the component from source.
              Installation instructions are not available. Examples and code snippets are available.
              It has 148 lines of code, 15 functions and 4 files.
              It has medium code complexity. Code complexity directly impacts maintainability of the code.

            Top functions reviewed by kandi - BETA

            kandi has reviewed img2txt and discovered the below as its top functions. This is intended to give you an instant insight into img2txt implemented functionality, and help decide if they suit your requirements.
            • Process a file
            • Request image text detection
            • Infer the file extension
            • Return the filename of a file
            • Extracts lines from a list of tokens
            • Create a line from a list of tokens
            • Extracts the tokens from the image
            • Change file extension
            Get all kandi verified functions for this library.

            img2txt Key Features

            No Key Features are available at this moment for img2txt.

            img2txt Examples and Code Snippets

            No Code Snippets are available at this moment for img2txt.

            Community Discussions


            Python convert curl command to urllib.request
            Asked 2021-Oct-29 at 17:22

            I would like to convert my curl to urllib.request command to python, the curl command:



            Answered 2021-Oct-29 at 17:22

            If you would use module requests instead of urllib then you could use portal to convert it. But sometimes it may create code with mistakes.

            If you would use program postman to test web page then it also has function to generate code in different languages - and it should have function to generate for urllib in Python.

            You can also use portal (and url to test request in curland python. Portal sends back all data which it gets in request and you can compare what you send in curl and python.

            But I used on Linux local program netcat to simulate server and see raw request.



            Problem with docker containers communication with port redirection
            Asked 2020-Jul-18 at 18:27

            So my structure contains 3 apps , 2 servers and 1 client, all in docker containers.

            I have no problem communicating with my server containers "manually" (from my UNcontainerized client)

            But once my client is containerized I can't communicate with the server with port redirection.

            I get an Error: connect ECONNREFUSED

            Here is my docker-compose :



            Answered 2020-Jul-18 at 18:27

            First of all. you are saying port redirections - which is more like port mapping in docker compose.

            Secondly - attempt to hep you:

            Assuming no magic in portfolio-network and since your client in the same network as both of your servers you should communicate to the through their names but not localhost. i.e.


            Community Discussions, Code Snippets contain sources that include Stack Exchange Network


            No vulnerabilities reported

            Install img2txt

            You can download it from GitHub.
            You can use img2txt like any standard Python library. You will need to make sure that you have a development environment consisting of a Python distribution including header files, a compiler, pip, and git installed. Make sure that your pip, setuptools, and wheel are up to date. When using pip it is generally recommended to install packages in a virtual environment to avoid changes to the system.


            For any new features, suggestions and bugs create an issue on GitHub. If you have any questions check and ask questions on community page Stack Overflow .
            Find more information at:

            Find, review, and download reusable Libraries, Code Snippets, Cloud APIs from over 650 million Knowledge Items

            Find more libraries
          • HTTPS


          • CLI

            gh repo clone mathigatti/img2txt

          • sshUrl


          • Stay Updated

            Subscribe to our newsletter for trending solutions and developer bootcamps

            Agree to Sign up and Terms & Conditions

            Share this Page

            share link