Image Reader (OCR) ავტორი Sevina
Easily get words out of an image with OCR engine!
590 მომხმარებელი590 მომხმარებელი
გაფართოების მონაცემები
ეკრანის სურათები
გაფართოების შესახებ
Image Reader (OCR) extension helps you easily get words out of any image. It uses two different open-source OCR engines.
The 1st engine is called Tesseract. Tesseract.js is an open-source JavaScript library and is made via an Emscripten port of the famous Tesseract OCR Engine written in C and C++. Please visit (https://github.com/naptha/tesseract.js) to get more info. The 2nd engine, called Granite Docling, is developed by IBM (https://huggingface.co/ibm-granite/granite-docling-258M). Please note that when you choose IBM Granite Docling, the app needs to download training data (~1200MB) for the AI engine. So please be patient while it is loading.
To work with this addon, simply open the addon's interface and load your image via the file selector (top section). Before using the addon, please make sure to select the appropriate OCR engine and language. For Tesseract, the default OCR language is set to English. For Granite Docling, you do not need to set a language; just select the desired backend (CPU or GPU) and wait for the app to load completely.
Note: For the Tesseract OCR engine, this addon uses the "https://github.com/naptha/tessdata/tree/gh-pages/" GitHub repo to fetch language data required for the OCR operation. For the IBM Granite Docling, it uses "https://huggingface.co/onnx-community/granite-docling-258M-ONNX" to fetch training data required for the OCR operation. Both language data packs are very large and cannot be included in the addon package.
To report bugs, please fill out the bug report form on the extension's homepage (https://mybrowseraddon.com/image-reader.html).
The 1st engine is called Tesseract. Tesseract.js is an open-source JavaScript library and is made via an Emscripten port of the famous Tesseract OCR Engine written in C and C++. Please visit (https://github.com/naptha/tesseract.js) to get more info. The 2nd engine, called Granite Docling, is developed by IBM (https://huggingface.co/ibm-granite/granite-docling-258M). Please note that when you choose IBM Granite Docling, the app needs to download training data (~1200MB) for the AI engine. So please be patient while it is loading.
To work with this addon, simply open the addon's interface and load your image via the file selector (top section). Before using the addon, please make sure to select the appropriate OCR engine and language. For Tesseract, the default OCR language is set to English. For Granite Docling, you do not need to set a language; just select the desired backend (CPU or GPU) and wait for the app to load completely.
Note: For the Tesseract OCR engine, this addon uses the "https://github.com/naptha/tessdata/tree/gh-pages/" GitHub repo to fetch language data required for the OCR operation. For the IBM Granite Docling, it uses "https://huggingface.co/onnx-community/granite-docling-258M-ONNX" to fetch training data required for the OCR operation. Both language data packs are very large and cannot be included in the addon package.
To report bugs, please fill out the bug report form on the extension's homepage (https://mybrowseraddon.com/image-reader.html).
3,2 შეფასება 10 მიმომხილველისგან
დამატებითი მონაცემები
- დამატების ბმულები
- ვერსია
- 0.2.0
- ზომა
- 13,3 მბ
- ბოლო განახლება
- 4 დღის წინ (8 ნოე 2025)
- მსგავსი კატეგორიები
- ლიცენზია
- Mozilla Public License 2.0
- ვერსიის ისტორია
- კრებულში დამატება
ამ დამატების შემქმნელი, პროგრამის მომავალი განვითარებისთვის, გთხოვთ მხარდაჭერას, მცირეოდენი შემოწირულობის სახით.