Language Identification

AwamiSolution

ବିଜ୍ଞାପନ ଅନ୍ତର୍ଭୂକ୍ତଆପ୍‌ ମଧ୍ୟରେ କ୍ରୟଗୁଡ଼ିକ

ଏହି ଆପ୍ ବିଷୟରେ

Language Identifier helps you determine which language is used in a text or image. Enter text manually, scan a document, or select an image from your gallery, and the app will analyze the content and identify the detected language.

Identify Languages from Text and Images

You can enter or paste text directly into the app to identify its language. You can also use your camera or select an existing photo from your gallery. The app can extract text from images such as books, newspapers, documents, and other printed materials before identifying the language.

Key Features
Identify the language of text
Scan text using your camera
Extract text from images
Select images from your gallery
Identify languages from scanned documents
Support for offline language identification for supported languages
Simple and easy-to-use interface
Supported Languages

The app supports language identification for a range of major languages, including:

Albanian
Armenian
Amharic
Azerbaijani
Basque
Bengali
Lithuanian
Macedonian
Malay
Malayalam
Maltese
Maori
Nepali
Nyanja
Pashto
Portuguese
Russian
Serbian

Language support may vary depending on the identification method and available text.

How It Works
Enter or paste text into the app, or choose an image.
Scan the image if needed to extract its text.
The app analyzes the text and identifies the language.
Use the detected language information to better understand the content.
Note

Language identification is available for supported languages. Some regional, local, or less widely used languages may not be supported.

Contact Us

We welcome your feedback and suggestions. If you have questions or need assistance, please contact our support team at [e-mail].

ନୂଆ କଣ ଅଛି

Release Notes

Added offline audio language identification
Detect spoken language from selected audio files
Added downloadable offline Whisper language model
Audio processing now works directly on the device
Improved voice language recognition
Added language statistics details
Improved identification history screen
Updated app UI with new green and teal design
Improved camera, text, and speech language detection
Performance improvements and bug fixes