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Optical character recognition (SatyaGroupTextOcr) technology is a business solution for automating data extraction from printed or written text from a scanned document or image file and then convertin [...]

3
likes
110/ 140
pub points
44%
popularity

We analyzed this package 4 days ago, and awarded it 110 pub points (of a possible 140):

failed
Follow Dart file conventions
20 / 30trigger folding of the section

0/10 points: Provide a valid pubspec.yaml

The package description is too long.

Search engines display only the first part of the description. Try to keep the value of the description field in your package's pubspec.yaml file between 60 and 180 characters.

Failed to verify repository URL.

Please provide a valid repository URL in pubspec.yaml, such that:

  • repository can be cloned,
  • a clone of the repository contains a pubspec.yaml, which:,
    • contains name: satya_textocr,
    • contains a version property, and,
    • does not contain a publish_to property.

Could not find any pubspec.yaml in the repository.

5/5 points: Provide a valid README.md

5/5 points: Provide a valid CHANGELOG.md

10/10 points: Use an OSI-approved license

Detected license: Apache-2.0.

failed
Provide documentation
10 / 20trigger folding of the section

10/10 points: 20% or more of the public API has dartdoc comments

68 out of 277 API elements (24.5 %) have documentation comments.

Some symbols that are missing documentation: SmartLanguage, SmartLanguage.AddressEntity, SmartLanguage.AddressEntity.AddressEntity, SmartLanguage.DateTimeEntity, SmartLanguage.DateTimeEntity.DateTimeEntity.

0/10 points: Package has an example

No example found.

See package layout guidelines on how to add an example.

OK
Platform support
20 / 20trigger folding of the section

20/20 points: Supports 5 of 6 possible platforms (iOS, Android, Web, Windows, macOS, Linux)

  • ✓ Android
  • ✓ iOS
  • ✓ Windows
  • ✓ Linux
  • ✓ macOS

These platforms are not supported:

Package not compatible with platform Web

Because:

  • package:satya_textocr/satya_textocr.dart that imports:
  • package:satya_textocr/src_path/satya_textocr.dart that imports:
  • package:satya_textocr/src_path/vision/kitVission.dart that imports:
  • package:satya_textocr/src_path/vision/vision.dart that imports:
  • dart:io
partial
Pass static analysis
40 / 50trigger folding of the section

40/50 points: code has no errors, warnings, lints, or formatting issues

Found 13 issues. Showing the first 2:

INFO: The file name 'EntityExtraction.dart' isn't a lower_case_with_underscores identifier.

To reproduce make sure you are using the lints_core and run flutter analyze lib/src_path/smlp/EntityExtraction.dart

INFO: The file name 'LanguageIdentifier.dart' isn't a lower_case_with_underscores identifier.

To reproduce make sure you are using the lints_core and run flutter analyze lib/src_path/smlp/LanguageIdentifier.dart

OK
Support up-to-date dependencies
20 / 20trigger folding of the section

10/10 points: All of the package dependencies are supported in the latest version

Package Constraint Compatible Latest
flutter flutter 0.0.0 0.0.0
Transitive dependencies
Package Constraint Compatible Latest
characters - 1.3.0 1.3.0
collection - 1.18.0 1.18.0
material_color_utilities - 0.8.0 0.11.1
meta - 1.11.0 1.14.0
sky_engine - 0.0.99 0.0.99
vector_math - 2.1.4 2.1.4

To reproduce run dart pub outdated --no-dev-dependencies --up-to-date --no-dependency-overrides.

10/10 points: Package supports latest stable Dart and Flutter SDKs

Analyzed with Pana 0.22.3, Flutter 3.19.5, Dart 3.3.3.

Check the analysis log for details.

3
likes
110
pub points
44%
popularity

Publisher

verified publishersatyagroup.org.in

Optical character recognition (SatyaGroupTextOcr) technology is a business solution for automating data extraction from printed or written text from a scanned document or image file and then converting the text into a machine-readable form to be used for data processing like editing or searching.

Repository (GitHub)
View/report issues

Documentation

API reference

License

Apache-2.0 (LICENSE)

Dependencies

flutter

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