npm package discovery and stats viewer.

Discover Tips

  • General search

    [free text search, go nuts!]

  • Package details

    pkg:[package-name]

  • User packages

    @[username]

Sponsor

Optimize Toolset

I’ve always been into building performant and accessible sites, but lately I’ve been taking it extremely seriously. So much so that I’ve been building a tool to help me optimize and monitor the sites that I build to make sure that I’m making an attempt to offer the best experience to those who visit them. If you’re into performant, accessible and SEO friendly sites, you might like it too! You can check it out at Optimize Toolset.

About

Hi, 👋, I’m Ryan Hefner  and I built this site for me, and you! The goal of this site was to provide an easy way for me to check the stats on my npm packages, both for prioritizing issues and updates, and to give me a little kick in the pants to keep up on stuff.

As I was building it, I realized that I was actually using the tool to build the tool, and figured I might as well put this out there and hopefully others will find it to be a fast and useful way to search and browse npm packages as I have.

If you’re interested in other things I’m working on, follow me on Twitter or check out the open source projects I’ve been publishing on GitHub.

I am also working on a Twitter bot for this site to tweet the most popular, newest, random packages from npm. Please follow that account now and it will start sending out packages soon–ish.

Open Software & Tools

This site wouldn’t be possible without the immense generosity and tireless efforts from the people who make contributions to the world and share their work via open source initiatives. Thank you 🙏

© 2024 – Pkg Stats / Ryan Hefner

nativescript-ocr

v1.0.0

Published

Optical Character Recognition - powered by Tesseract

Downloads

41

Readme

NativeScript OCR

Build Status NPM version Downloads Twitter Follow

Optical Character Recognition - powered by Tesseract

Installation

tns plugin add nativescript-ocr

Setup

You'll need to add language files to help Tesseract recognizing text in the images you feed it.

Download version 3.04.00 of the tessdata files here and add your required language to the app/tesseract/tessdata/ folder of your app.

Note that if your language(s) has multiple files (like English: there's 9 files matching eng.*), copy all those files to the folder.

iOS

iOS searches for the tessdata folder in app/App_Resources/iOS, but instead of dulicating the folder you can create a symbolic link:

cd app/App_Resources/iOS
ln -s ../../tesseract/tessdata

API

retrieveText

JavaScript

This is just a basic example using the default settings, look at the TypeScript code below for a more elaborate example.

var OCRPlugin = require("nativescript-ocr");
var ocr = new OCRPlugin.OCR();

ocr.retrieveText({
  image: myImage
}).then(
    function (result) {
      console.log("Result: " + result.text);
    },
    function (error) {
      console.log("Error: " + error);
    }
);

TypeScript

This example shows how to use all possible (but optional) options you can pass into retrieveText:

import { OCR, RetrieveTextResult } from "nativescript-ocr";
import { ImageSource } from "image-source";

export Class MyOCRClass {
  private ocr: OCR;
  
  constructor() {
    this.ocr = new OCR();
  }

  doRecognize(): void {
    let img: ImageSource = new ImageSource();

    img.fromFile("~/samples/scanned.png").then((success: boolean) => {
      if (success) {
        this.ocr.retrieveText({
          image: img,
          whitelist: "ABCDEF",     // you can include only certain characters in the result
          blacklist: "0123456789", // .. or you can exclude certain characters from the result
          onProgress: (percentage: number ) => {
            console.log(`Decoding progress: ${percentage}%`);
          }
        }).then(
            (result: RetrieveTextResult) => {
              this.set(HelloWorldModel.BUSY_KEY, false);
              console.log(`Result: ${result.text}`);
            }, (error: string) => {
              console.log(`Error: ${err}`);
            })
      }
    });
  }
}