Language Identification
Enthält WerbungIn-App-Käufe
Jedes Alter
info
10Â Tsg.+
Downloads
Jedes Alter
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Ãœber diese App
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 cristalhub123@gmail.com.
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 cristalhub123@gmail.com.
Language Identification Identifies correct language from image and document
Aktualisiert am
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- Keine Daten werden mit Drittunternehmen oder -organisationen geteilt
- Keine Daten erhoben
- Daten werden bei der Übertragung verschlüsselt
- Daten können nicht gelöscht werden
Neuerungen
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
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
Jedes Alter
Weitere InformationenApp-Unterstützung
Informationen zum Entwickler
UMER HAYAT
cristalhub123@gmail.com
MiranShah Post Office MiranShah Village MiranShah
Teshil MiranShah District North Waziristan
Miranshah, 28200
Pakistan
