Website Text Translation and Image Translation from a URL using Optical Character Recognition (OCR)

1
A H M Saiful Islam
A H M Saiful Islam
1 Notre Dame University Bangladesh

Send Message

To: Author

GJCST Volume 22 Issue E1

Article Fingerprint

ReserarchID

CSTNWS479L9

Website Text Translation and Image Translation from a URL using Optical Character Recognition (OCR) Banner
  • English
  • Afrikaans
  • Albanian
  • Amharic
  • Arabic
  • Armenian
  • Azerbaijani
  • Basque
  • Belarusian
  • Bengali
  • Bosnian
  • Bulgarian
  • Catalan
  • Cebuano
  • Chichewa
  • Chinese (Simplified)
  • Chinese (Traditional)
  • Corsican
  • Croatian
  • Czech
  • Danish
  • Dutch
  • Esperanto
  • Estonian
  • Filipino
  • Finnish
  • French
  • Frisian
  • Galician
  • Georgian
  • German
  • Greek
  • Gujarati
  • Haitian Creole
  • Hausa
  • Hawaiian
  • Hebrew
  • Hindi
  • Hmong
  • Hungarian
  • Icelandic
  • Igbo
  • Indonesian
  • Irish
  • Italian
  • Japanese
  • Javanese
  • Kannada
  • Kazakh
  • Khmer
  • Korean
  • Kurdish (Kurmanji)
  • Kyrgyz
  • Lao
  • Latin
  • Latvian
  • Lithuanian
  • Luxembourgish
  • Macedonian
  • Malagasy
  • Malay
  • Malayalam
  • Maltese
  • Maori
  • Marathi
  • Mongolian
  • Myanmar (Burmese)
  • Nepali
  • Norwegian
  • Pashto
  • Persian
  • Polish
  • Portuguese
  • Punjabi
  • Romanian
  • Russian
  • Samoan
  • Scots Gaelic
  • Serbian
  • Sesotho
  • Shona
  • Sindhi
  • Sinhala
  • Slovak
  • Slovenian
  • Somali
  • Spanish
  • Sundanese
  • Swahili
  • Swedish
  • Tajik
  • Tamil
  • Telugu
  • Thai
  • Turkish
  • Ukrainian
  • Urdu
  • Uzbek
  • Vietnamese
  • Welsh
  • Xhosa
  • Yiddish
  • Yoruba
  • Zulu

Now-a-days we are almost completely dependent on information system for our day-to-day work. Almost every organization of different sectors has their own website. These websites are visited not only by the native people but also by the foreigners. But sometimes they are unable to do so because of language barrier. At present, many translating tools are available but they are either for translating text of a website or translating text from an image. At some cases people have to copy the text and then translate it separately which is a lot of hassle and time consuming. We aim to implement a website translator which will take the URL of any website and translate it in any language. It can also translate the text of the images of that website. We have also created some more new algorithms for URL translation, English to Bangla number translation and English to Arabic number translation.

Funding

No external funding was declared for this work.

Conflict of Interest

The authors declare no conflict of interest.

Ethical Approval

No ethics committee approval was required for this article type.

Data Availability

Not applicable for this article.

A H M Saiful Islam. 2026. \u201cWebsite Text Translation and Image Translation from a URL using Optical Character Recognition (OCR)\u201d. Global Journal of Computer Science and Technology - E: Network, Web & Security GJCST-E Volume 22 (GJCST Volume 22 Issue E1): .

Download Citation

Alt: Academic research journal on website translation and OCR recognition technology advancements.
Journal Specifications

Crossref Journal DOI 10.17406/gjcst

Print ISSN 0975-4350

e-ISSN 0975-4172

Keywords
Classification
GJCST-E Classification: I.7.5
Version of record

v1.2

Issue date

March 12, 2022

Language

English

Experiance in AR

The methods for personal identification and authentication are no exception.

Read in 3D

The methods for personal identification and authentication are no exception.

Article Matrices
Total Views: 3125
Total Downloads: 21
2026 Trends
Research Identity (RIN)
Related Research

Published Article

Now-a-days we are almost completely dependent on information system for our day-to-day work. Almost every organization of different sectors has their own website. These websites are visited not only by the native people but also by the foreigners. But sometimes they are unable to do so because of language barrier. At present, many translating tools are available but they are either for translating text of a website or translating text from an image. At some cases people have to copy the text and then translate it separately which is a lot of hassle and time consuming. We aim to implement a website translator which will take the URL of any website and translate it in any language. It can also translate the text of the images of that website. We have also created some more new algorithms for URL translation, English to Bangla number translation and English to Arabic number translation.

Our website is actively being updated, and changes may occur frequently. Please clear your browser cache if needed. For feedback or error reporting, please email [email protected]
×

This Page is Under Development

We are currently updating this article page for a better experience.

Request Access

Please fill out the form below to request access to this research paper. Your request will be reviewed by the editorial or author team.
X

Quote and Order Details

Contact Person

Invoice Address

Notes or Comments

This is the heading

Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut elit tellus, luctus nec ullamcorper mattis, pulvinar dapibus leo.

High-quality academic research articles on global topics and journals.

Website Text Translation and Image Translation from a URL using Optical Character Recognition (OCR)

A H M Saiful Islam
A H M Saiful Islam Notre Dame University Bangladesh

Research Journals