Image Reader

JPG IMAGE TO TEXT

It is an online tool, using the OCR we make it possible to extract jpg to text. It is an online tool that converts jpg image text into editable text format. Developed with OCR (Optical Character Recognition), a technology that obtains information from pictures and transforms it into soft copy. It convert active tab into a jpg and then using OCR to read all text on it.

OCR - Image Reader

A powerful optical character recognition (OCR) extension to capture and convert images to text This extension adds a toolbar button to your browser to perform OCR. When this action button is pressed, it allows the user to select a region in the currently active window. The extension captures the area and tries to recognize text inside this region using the internal powerful OCR engine (Tesseract engine). This extension uses the "tesseract.js" library that supports more than 100 languages, automatic text orientation, and script detection. This extension loads the JS library on the page and removes it when you are done. This way, there is no long-term resource usage. Engines: Tesseract: Only extracts plain text from images and doesn't preserve formatting IBM Granite-Docling: it can accurately interpret headings, lists, styles (bold, italics), tables, and mathematical equations. Notes: 1. On the first run, the extension might take a few minutes to fetch the training data from the internet. Since this resource is cached, all subsequent calls are going to be fast. 2. Optical character recognition (OCR) is slow, so this extension displays a progress bar for each detection module. 3. This extension does the OCR process offline. There is no server-side interaction. It only fetches the language training database once. 4. This tool can be used to extract the text content out of images, PDF documents, Powerpoint slides, or extract the content of a web page when user-section is forbidden. 5. If the text extraction confidence is low, the extension inverts the image and retries (particularly useful on the dark theme) 6. If the text extraction is not accurate, you can modify the image and drop it into the interface to retry. Change Logs: Version 0.2.4: Supports browser-level page zooming and OS-level screen zooming Adds image language detection (still beta) (slow operation)

Note It - Notes & OCR

A feature-packed note-taking extension with OCR support. With our note-taking app, you can take notes, convert images to text, download notes to PDF. You’ll be able to stay organized with a beautiful minimalist design. - ✍ Take notes in rich formatting. - 👀 Open the extension as a pop-up or re-sizable window. - 👀 Three different themes light, dark and dim - 📸 Take a screenshot of the active tab and: - ✂️ Copy the cropped image - 📜 Convert to text (OCR support) - ✔ Download the cropped image - 💾 Save notes on your local machine - 🗃 Notes folder - ⭐ Make notes as favorite - 📁 Download note in PDF format - 🗄 Convert your images to text (this feature works only when the extension is in window mode) This extension is open-source and does not store any user data on any server. All your data is on your local computer. Please get in touch with us if you find any bugs or have any features or recommendations. The GitHub link is available on the home page. Note It is a non-profit extension. We built and now maintain it during our free time, and we try our best to improve it and keep it up to date.

Documate OCR

Documate includes optical character recognition (OCR) functionality to directly extract editable text from scans (JPG, PNG) made with your INSWAN document camera. 1. Connect your INSWAN document camera to your Chromebook using the USB cable. 2. Open the “Documate” software. 3. Capture document images. 4. Go to “Gallery mode” and double click the thumbnail of the captured image. 5. When the thumbnail image is expanded to full screen, click the “Keystone correction” tool to select the area to be scanned and start to correct image distortion. 6. Click on “Save to gallery ” to confirm and save the scanned file as PDF, JPG, PNG, of TIFF. 7. Click the “OCR” icon to extract editable text from the scan. 8. Click on “Return to gallery mode” to return to the thumbnail preview mode to review all captured images. 1. Capture the image and enter gallery mode (Steps 1-6 above.) 2. Click on the “OCR” icon to activate optical character recognition. 3. Select the primary language of the target document. If the document has two languages, select both the primary and secondary languages. 4. Click “Run” to extract text. Extraction may take 2 to 3 minutes, depending on the amount of text. 5. Click “Save” to confirm and save the extracted text file or click on “Exit” to cancel extraction. 1. Go to gallery mode and click on “Import image file” to import a JPG or PNG file to the gallery. 2. Click on the “OCR” icon to activate optical character recognition. 3. Select the primary language of the target document. If the document has two languages, select both the primary and secondary languages. 4. Click “Run” to extract text. Extraction may take 2 to 3 minutes, depending on the amount of text. 5. Click “Save” to confirm and save the extracted text file or click on “Exit” to cancel extraction.