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GitHub-Repositoryjigyasa1411/flutter_nanonets_ocr

flutter_nanonets_ocr

jigyasa1411/flutter_nanonets_ocr open-source repository details.

Projektcover von flutter_nanonets_ocr
Sterne
2
Forks
0
Letzter Push (UTC)
04.04.2024
Projektstatus
Aktiv

Original-README

Englischer Projektschnappschuss. Aktuelle Inhalte auf GitHub.

Description

Nanonets provides an OCR service where we can create models, train them and use them for OCR predictions. This package is developed to make usage of Nanonets OCR api directly without having to write manual code for integrating it in your application.

Follow this blog for step by step integration of Nanonets OCR model in a Flutter application: Implementing Nanonets OCR in Flutter

Get started

Add dependency You can use the command to add flutter_nanonets_ocr as a dependency with the latest stable version:

   $ dart pub add flutter_nanonets_ocr

Or you can manually add flutter_nanonets_ocr into the dependencies section in your pubspec.yaml:

  dependencies:
      flutter_nanonets_ocr: ^0.0.14

Example

Fetching details using document file
 import 'package:flutter_nanonets_ocr/flutter_nanonets_ocr.dart';
  
 String apiKey = "INSERT NANONETS API KEY";

 NanonetsOCR nanonetsOCR = NanonetsOCR();

 FutureBuilder(
            future: nanonetsOCR.predictDocumentFile(apiKey, docImage,
                    "INSERT OCR MODEL ID HERE", context),
            builder: (context, snapshot) {
              if (snapshot.connectionState == ConnectionState.active) {
                return loadingWidget();
              } else if (snapshot.connectionState == ConnectionState.done) {
                return yourSuccessWidget();
              } else {
                return loadingWidget();
              }
            });


Fetching details using document url
 import 'package:flutter_nanonets_ocr/flutter_nanonets_ocr.dart';
  
 String apiKey = "INSERT NANONETS API KEY";

 NanonetsOCR nanonetsOCR = NanonetsOCR();

 FutureBuilder(
            future: nanonetsOCR.predictDocumentURL(apiKey, docImageUrl,
                    "INSERT OCR MODEL ID HERE", context),
            builder: (context, snapshot) {
              if (snapshot.connectionState == ConnectionState.active) {
                return loadingWidget();
              } else if (snapshot.connectionState == ConnectionState.done) {
                return yourSuccessWidget();
              } else {
                return loadingWidget();
              }
            });


jigyasa1411 GitHub avatar
GitHub-Autor

jigyasa1411 ↗

SprachenObjective-CMakefileDartC++CMakeCRubySwiftHTMLShellJavaKotlin

Von diesem Repository veröffentlichte Pakete

Verwendete Abhängigkeiten

Abhängigkeiten 4 Einträge

  • flutter{"sdk":"flutter"}
  • dio^5.4.2
  • flutter_testEntwicklung{"sdk":"flutter"}
  • flutter_lintsEntwicklung^2.0.0

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