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Remove handwritten text from image

To remove text from image you can use ScanWritr's eraser tool. Just go to the ScanWritr web and upload the file you want to edit. Erase unwanted text or background, then fill document, sign it, preview it, export it and that's it. You can zoom in or zoom out the image and select thickness of the eraser to make deletion as accurate as possible How to embed image or picture in jupyter notebook, either from a local machine or from a web resource? 7 how to increase resolution of text in scanned images in python Click and drag over the text you want to remove. You'll see the text covered by the section of the image you selected as the clone area. If you want a more precise look, you can change the brush size by dragging the slider under Brush Size in the menu on the left side of the page

Remove Text From JPEG Quickly and Easily With ScanWrit

  1. I'm scanning some old text my grandma wrote in a book. I need to remove the background and just keep the handwriting on a white background. I've tried the Magic Wand, but that way a lot of spaces in letters like o, a, e, etc stay in the color of the background. I've got like 50 pages to do, so is there a faster way to just separate this.
  2. Remove undesirable objects from your images, such as logos, watermarks, power lines, people, text or any other undesired artefacts. There's no need to manually go through messing around with your old clone tool any more! Now you can use Inpaint to easily remove all those unexpected objects that end up spoiling an otherwise really great photograph
  3. 1. To smooth noisy images, typical methods are to apply some type of blurring filter. For instance cv2.GaussianBlur (), cv2.medianBlur (), or cv2.bilaterialFilter () can be used to remove salt/pepper noise. After blurring, we can threshold to obtain a binary image then perform morphological operations. From here, we can find contours and filter.
  4. To remove between-text-line annotations, a two stage algorithm is proposed, which detects the base line of the printed text lines using the analysis of connected components and removes the annotations with the help of statistically computed distance between the text line regions
  5. Isolating scanned handwritten text on a document. I have some delicate documents that have handwritten text in pencil on notebook paper on them. I have scanned them and the pages have some marks and smudges on them, making the handwriting a little difficult to read. I could rescan with different settings, but I risk smudging the pages more, and.
  6. Easily Remove Backgrounds from Photos! iResizer iResizer.com. Scale an image without changing important visual content such as people, buildings, animals, etc. PhotoStitcher PhotoStitcher.com. Automatically Stitch Your Photos To Panorama! FolderIco FolderIco.com
  7. Just go to the ScanWritr web and upload the document you want to edit. Erase unwanted text or background, then fill document, sign it, preview it, export it and that's it. You can zoom in or zoom out the document and select thickness of the eraser to make deletion as accurate as possible

How to remove handwritten marks on digital text images

Extract text from an image. The text extractor will allow you to extract text from any image. You may upload an image or document (.doc, .pdf) and the tool will pull text from the image. Once extracted, you can copy to your clipboard with one click. Explore other Workbench solutions 100% Free Online OCR Converter. Really helpful for students! Extract Text From Images & PDF Files Fast And Easy To-Text Converter is a solution, which allows you to convert images containing written characters to text documents with no need for any software installation Image to Text is an online tool for extracting text from image files. It features the latest optical character recognition (OCR) technology to accurately convert photos into text. It can extract text from any image format such as

Now I want to extract each word from the input image and segment each character from word and send to my character recognition algorithm. My input images may contain both hand written and printed text. My input image may have complex background. My Question is how can we identify the regions where the text present in an image. I don't have any. How to Remove handwriting from Document in Photoshop 2020. This is abetter way to remove handwriting from document.The best and easy way to remove your hand..

Detection of handwritten digit from an image in Python using scikit-learn. To get started with this first we need to download the dataset for training. The dataset is the MNIST digit recognizer dataset which can be downloaded from the kaggle website. The dataset consists of two CSV (comma separated) files namely train and test In this article. The Optical character recognition (OCR) skill recognizes printed and handwritten text in image files. This skill uses the machine learning models provided by Computer Vision API v3.0 in Cognitive Services. The OCR skill maps to the following functionality:. For English, Spanish, German, French, Italian, Portuguese, and Dutch, the new Read API is used If you have access to Photoshop, try the Magic Wand tool to select the background around the writing, and fiddle with the Tolerance to get it as close to the writing as possible, then delete or fill with white. Another method is to use Image > Adjustments > In this tutorial, you learned how to perform OCR handwriting recognition using Keras, TensorFlow, and OpenCV. Our handwriting recognition system utilized basic computer vision and image processing algorithms (edge detection, contours, and contour filtering) to segment characters from an input image. From there, we passed each individual.

I am working on a project to extract text from real world scanned images like magazines, newspaper, prescription, notebooks etc in c#. I finished character recognition. Now I want to extract each word from the input image and segment each character from word and send to my character recognition algorithm. My input images may contain both hand. 2. Give the copy a name. It's a good idea to adjust the name. Otherwise, you could easily get it mixed up with the original. So that you know which image it is, however, you may want to keep the same name but at the end in all caps, add WITH TEXT REMOVED.. To do this, right-click directly on Layer 1 Crop the image to document border. In Image Processing, often images needs to be edited for better presentation of the final image artifact. Cropping is one of the most common image operations performed to remove unwanted portions of an image as well as to add needed features to an image The tool is free to use online, without the need to register. In essence, whiting out a PDF follows the same manner as redaction - but you displace content with white blocks instead of black ones. The PDF white-out process can be done for free, using our PDF Editor for you to filter out before sharing your documents will another party Offline Handwritten Text Recognition (HTR) systems transcribe text contained in scanned images into digital text, an example is shown in Fig. 1. We will build a Neural Network (NN) which is trained on word-images from the IAM dataset

from handwritten_image import HandWrite hand = HandWrite Convert to a handwritten images. You can easily convert your text to handwritten text using this method. hand. convert_to_image ('your-text-file.docx') # or .doc and .txt file Save directory. Specify the folder where you want to save the images using save_dir argument, if not specified. Noise removal from printed text and handwriting images using coordinate logic filters. Download. Related Papers. Noise Removal Techniques For Arabic Handwriting. By Roqýah Ȝbđeen and Ashraf El-sisi. Study of Different Off-line Handwritten Character Recognition Algorithms for Various Indian Scripts

How to Remove Text from a Picture Online (with Pictures

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Recognize Text in (OCR language): By default the OCR language is picked from default locale.; Use available system font: If this option is checked, during the process of scanned to editable text conversion, the converted text is displayed in a font that is installed on the system and is a closest match to the original font in the scanned page.; Make all the pages editable: if this option is. main.py. Here I've created a method process_image, and it takes the image name and language code as parameters.Inside the method, I'm using a pytesseract method image_to_string, which returns the unmodified output as a string from Tesseract OCR.Additionally, I've added two helper methods. The print_data method prints string output, and the output_file method writes the string output to a. Dirty image (left) and the corresponding clean image (right) The dataset used to develop our models is obtained from the Denoising Dirty Documents challenge on Kaggle. It contains images of text. Please remove 1 tag before applying. Character Recognition utilizes image processing technologies to convert characters on scanned documents into digital forms. It typically performs well in machine-printed fonts. The Inspiration of this is to explore the task of classifying handwritten text and to convert handwritten text into the. Optimal Character Recognition, or OCR, is the process of converting typed or handwritten text from media such as scanned documents or photos into plain text. Table of Contents Although it's subject to mistakes, depending on the clarity of the text, using OCR to extract text from images can save you hours of monotonous work

Convert Text from Image and Optionally Detect Hand Annotations. Choose an image (png or jpg) or. Detect marker highlights. Detect hand-underlinings. * Available with a Plus membership. 0% You pointed out the OCR technology (From an image get the equivalent in the digital text). Yo need to explain the concept ICR (Intelligent character recognition. From your live handwriting get the conversion to digital text, you write and the writing is converted on real-time or when you need it) Sparse text with OSD. Raw line. Treat the image as a single text line; Limitations of Tesseract. Since this is a freeware, it is not as accurate as some commercial solutions (Amazon Rekognition, Google Vision API) that are currently available in the markets. The accuracy of handwriting recognition is very low, almost unacceptable for most.

Removing background and cut out and sharpen handwritten tex

You can copy paste text content into the textbox and click generate image button to generate image. Text to Handwriting. Text to Handwriting. Input Type/Paste text here. Lorem ipsum dolor sit amet, consectetur adipiscing elit. Ut rhoncus dui eget tortor feugiat iaculis. Morbi et dolor in felis viverra efficitur Remove Noise from Scanned Handwritten De-Graded Document Images Using Various Approaches Kuljeet Singh [1], Gurinder Singh [2] LCET, Katani kalan Ludhiana -Punjab Technical University India ABSTRACT Image is defined as sequential collection of pixels. Some images may be corrupted by degradation such as linea

Image to Text: How to extract text from an image with OCR Step 1: Find your image. You can capture text from a scanned image, upload your image file from your computer, or take a screenshot on your desktop In this tutorial, you will learn how to quickly remove the white areas around your scanned paper drawings. It works for watercolor paintings, sketches, ink drawings and handwritten text alike. Here's what the final result will look like This changes the way the image is displayed, but not the image itself. Click on the filter you added to display its settings. Oh, you get colors (yellow) when you add the layer mask to the wrong layer (the background), then open the levels tools on the correct layer and click Channels Auto I want to process different type of image to extract actual text from noisy image .I am using open cv to do this job it is working fine but the problem is I need to set different lower threshold to convert noisy image to readable text.Is it possible to set single threshold which removes noise from all images by doing some pre processing

6 Assume a single uniform block of text. 7 Treat the image as a single text line. 8 Treat the image as a single word. 9 Treat the image as a single word in a circle. 10 Treat the image as a single character. 11 Sparse text. Find as much text as possible in no particular order. 12 Sparse text with OSD. 13 Raw line This online image to text is a handy service which enables you to upload any image file, analyze the text in it and then convert the typed, printed or handwritten text in the image into the text file that you can easily share, download or edit on your computer TopOCR is one of the best pieces of handwriting recognition software. Using a sourced image captured by a scanner or digital camera, TopOCR offers a dual pane format that displays the original image on the left and the conversion on the right. Expect it to work reasonably well if your handwritten text appears from left to right Recognizing text and digit from the image and extracting the value is always a tough task ever in the digital era. You need to build our own machine learning model to do this task. And it is a more time-consuming task if you don't know how to do PDF OCR X is a simple extract text from images software for Windows. It can extract text from PDF documents as well. It can give output as editable text and searchable PDF document. Just open an image in any popular format like PNG, JPEG, BMP, GIF, etc., setup output parameters like output (plain text or searchable PDF), input quality, output folder, etc., and hit the Convert button

TextStyleBrush is the first self-supervised AI model that can replicate and replace text in handwritten and real-world scenes by using just a single example word from an image, according to Facebook It is a widespread technology to recognise text inside images, such as scanned documents and photos. OCR technology is used to convert virtually any kind of images containing written text (typed, handwritten or printed) into machine-readable text data. How To Implement OCR ? Now the question arises that how you can implement OCR Aspose OCR Image To Text Converter is a free app to perform online OCR on images and documents you upload. Convert your image files to text that you can edit without installation, completely free on any OS and platform. Aspose OCR App allows easily extracting text on various languages from images in popular formats: JPG, BMP, TIFF, PNG, and others These documents could be handwritten text, printed text, invoices, receipts, name cards, etc., or even a natural scene photograph. OCR detects text on documents and this locates it to text show where the text is extracted from the image. But, nothing is perfect and OCR is no exception

Hands-On Tutorial On EasyOCR For Scene Text Detection In Images. 12/10/2020. Optical Character Reader or Optical Character Recognition (OCR) is a technique used to convert the text in visuals to machine-encoded text. These visuals could be printed documents (invoices, bank statements, restaurant bills), or placards (sign-boards, traffic symbols. remove noise from document images I'm working on a project to automatically process scanned invoices. In order get a better result the OCR engine, I'd like to first remove noise from images. Beside scratches, I'd also like to remove anything that was added to document after it was p In this quickstart, you'll extract printed and handwritten text from an image using the new OCR technology available as part of the Computer Vision 3.1 REST API. With the new Read and Get Read Result methods, you can detect text in an image and extract recognized characters into a machine-readable character stream Handwritten Text Recognition (HTR) systems power computers to receive and interpret handwritten input from sources such as scanned images. The systems are able to convert handwritten texts into digital text or simply can digitize, store, and extract valuable information for accurate analysis

In iOS 15, Apple has expanded support for drag and drop functionality across apps on iPhone, allowing you to move files, images, and selected chunks of text from place to place Thank you for your reply. I had no trouble placing the .png image but neither I, nor the tech could remove the background sufficiently in Illustrator to make it usable, it appeared that bits of the background clung to the image of the handwriting. We tried with image trace but were unable to move the lines to get a crisp image NVIDIA NGX Technology Top 5 Best AI Watermark Removers to Remove Image Watermark. Take a look at the python cv2 module. Simple command line tool for text to image generation using OpenAI's CLIP WebinPaint is an easy way out if you are looking to remove text from a picture online. Gifntext is a powerful, online, free gif editing.

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kit.text_to_handwriting() This function can be used to convert text to hand written characters, the character sets has been written by me The parameters are string (required) - String that you want to convert to handwritten text save_to (optional, val = pywhatkit.png) - Path where the image will be save Read printed and handwritten text. The OCR service can extract the visible text in an image and convert it to a character stream. This sample uses the Read operations. Set up test images. Save a reference of the URL of the images you want to extract text from. // URL images containing printed and/or handwritten text

Make Photo Transparent: Remove Background Like Magic. Photos with transparent backgrounds make the image truly stand out. That's why Kapwing created a simple tool to remove the background, totally free. You won't have any trouble making a transparent photo because it only takes a few clicks. Here's how Add text to image tool using client side scripts for quick processing. It allows user to directly add text on image and edit. Font options like color, style, size can be altered using toolbar. other text style options like bold or italic, underline, stroke adjustment are also provided, Download option is available to save your image as displayed in preview container Simply convert your PDF document to text. With the help of Optical Character Recognition (OCR), you can extract any text from a PDF document into a simple text file. And it's simple: just upload your PDF and let us do the rest. After you provided your file, PDF2Go will use OCR to get the text from your PDF and save it as a TXT file

You can also remove the background of drawings, which makes it easier to reuse them in other presentations. PDF (Portable Document Format) files extract the text information from a captured image. You can search the text contents of a PDF file and highlight or copy any part of the page with your preferred PDF Reader app Required Knowledge. Get familiar with the basic steps of creating a project by reviewing the Add References and Set a License and Display Images in an Image Viewer tutorials, before working on the Add and Remove Image Viewer Items - WPF C# tutorial.. Saving images is not necessary for this tutorial, so the saving portion can be commented out

To extract text from the image we can use the PIL and pytesseract libraries. We currently perform this step for a single image, but this can be easily modified to loop over a set of images. We can enhance the accuracy of the output by fine tuning the parameters but the objective is to show text extraction. The code to do this step, and the text. Required Knowledge. Get familiar with the basic steps of creating a project by reviewing the Add References and Set a License and the Display Files in the Document Viewer tutorials, before working on the Add and Remove Pages from a LEADDocument - WinForms C# tutorial.. Create the Project and Add LEADTOOLS References. Start with a copy of the project created in the Display Files in the Document. Type new text to replace the selected text, or press Delete to remove it.; To rotate the text box, use the rotation handle at the top of the selected text box. Manage list items using the list controls (bulleted and numbered) in the right-side Format panel. You can create list items, convert an existing paragraph to a list item, convert an existing list item to a paragraph, and convert from.

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Chercher les emplois correspondant à Read handwritten text from image in c ou embaucher sur le plus grand marché de freelance au monde avec plus de 20 millions d'emplois. L'inscription et faire des offres sont gratuits download Easily Extract Text From Image Read handwritten text from images. Read text from images and image URL. Edit extracted text. Easily save extracted text. Instantly share. Read handwritten text from images. Detect and extract handwritten text from notes, letters, essays, whiteboards, forms and other sources. Reduce paper clutter and be more productive by takin After text has been added to an image in Paint, it can't be deleted. You can, however, remove the text by painting over it or copying other portions of the image and pasting them over the text. Another option is to crop the image to remove the area that contains text

Here, I will use it for preprocessing, to detect the text from an image file. Tesseract requires a clean image to detect the text, this is where OpenCV plays an important role as it performs the operations on an image like converting a colored image to binary image, adjusting the contrast of an image, edge detection, and many more Task #2: Remove Unwanted Text & Images From PDF. Now, it's the time to remove unwanted text and images from a PDF file. For this , look at the following steps: For removing unwanted text, images and logos from a PDF file, run the PDF eraser software and then click on Open PDF button to open a PDF file. Now, select an eraser for removing the. It is a type of technology that can understand text from pictures. We have developed this tool to interpret text from images, but today it is being used for many purposes. There are many online image to text tools available today for this purpose, which export the text file where you can edit text and move it back to the image format Actually, you talk about an OCR. It has mainly three parts. 1. Image pre-processing 2. segmentation and feature extraction 3. recognition In case of Image pre-processing , you have to undergo the image through different processes to remove noises,.. 1. Open the input panel and then click Tools in the Menu bar. 2. Select Options to open the Input Panel Options dialog box. 3. Customize the Input Panel Settings for the way you like to work. 4. Click Tools and Exit. You may customize the settings accordingly here and disable handwriting recognition

How do I isolate handwritten text from an image using

Step 3. Convert Handwriting to Text. After performing OCR, the file is already editable. So you can click the Convert > To Text button to convert the handwriting file to a text file directly. Before converting, you can also click the Edit button to edit the content as you want. Learn more about how to edit PDFs here Optical character recognition or optical character reader (OCR) is the electronic or mechanical conversion of images of typed, handwritten or printed text into machine-encoded text, whether from a scanned document, a photo of a document, a scene-photo (for example the text on signs and billboards in a landscape photo) or from subtitle text superimposed on an image (for example from a. The paper proposes an approach to segment character images from the text containing images and computer printed or handwritten words. This segmentation app roach is based on a set of properties for each connected component (object) in the whole binary image of the machine printed or handwritten text containing some other images Automatically identify more than 10,000 objects and concepts in your images. Extract printed and handwritten text from multiple image and document types, leveraging support for multiple languages and mixed writing styles. Apply these Computer Vision features to streamline processes, such as robotic process automation and digital asset management Moreover, a provocative bio text is yet another hook to lure the user into visiting the NSFW links. What makes this trend going is that such custom-made images containing handwritten versions of.

Automatic Removal of Handwritten Annotations from Between

OCR Text Recogniser is app to recognize any text from an image with with a precision rate between 98% to 100%. The app recognizes all latin languages such as English, French, Spanish, Portuguese, German, Italian, Norwegian, Danish, and so on. It turns your device in to text scanner. Features of Text Scanner: - Extract any Text or Words from Image Go to where you store the image, then double click to insert this image. Right click the inserted image, then select Copy Text From Picture. Right click an empty space and select Paste. View the extracted text. This is how you can extract text in a image using OneNote. Tool 3: Google Docs. Google Docs can help you extract text from an image. To. How to remove borders from images taken from document (like MNIST handwritten chars)? 2017-11-05 09:09:03 -0500 shebna12. How to group two-contour(like i,j,!,?) characters in opencv python? image-segmentation. handwriting. opencv. python. 179. views Read each letter from the handwritten text in python. handwriting. handwritten. python. Separate images in GIF or Split gif images easily with this online tool. Gif animation contains multiple images binded with interval, this tool helps to split all the images from your gif animation. Just upload GIF animation in tool, then click extract Gif button to explode all the images inside GIF, once process completed, the images will be displayed in the preview container and download. Slanted text has been demonstrated to be a salient feature of handwriting. Its estimation is a necessary preprocessing task in many document image processing systems in order to improve the required training. This paper describes and evaluates a new technique for removing the slant from historical document pages that avoids the segmentation procedure into text lines and words

Text understanding detects and recognizes all the printed and handwritten characters in a document. For document scans and photos, text detection is used to first identify the regions where text is present. Convolutional neural networks (CNNs) are heavily used for coarse-grained and fine-grained text detection Today's tutorial is a Python implementation of my favorite blog post by Félix Abecassis on the process of text skew correction (i.e., deskewing text) using OpenCV and image processing functions.. Given an image containing a rotated block of text at an unknown angle, we need to correct the text skew by

Extracting Text With GIMP. The main benefit of extracting text from image files is the ability it gives you to search that text. For example, if you have a batch of business letters scanned in as JPEG files, after extracting text from those JPEGs, you can search for letters from a particular customer by searching for. text line and word segmentation methodology in order to solve the above problems. 3. Text line segmentation The proposed methodology for text line segmentation in handwritten document images deals with the following challenges: (i) each text line that appears in the document may have an arbitrary skew angle and converse skew angl Remove the Image Background. Add It to Your Docs and Pictures. 1. Snap a Picture of Your Signature. First, grab a white piece of paper to write down your signature. Next, find a well lit area and choose the pen color you want to show on your document or picture. Now, write your signature as big as possible In the past, transcribing text from an image file was a lot of physical pain as you had to read the text from the image and input it manually on a document file, but with the current technological. To detect text in an image (API) If you haven't already, complete the following prerequisites. Create or update an AWS Identity and Access Management (IAM) user with AmazonRekognitionFullAccess and AmazonS3ReadOnlyAccess permissions. For more information, see Step 1: Set up an AWS account and create an IAM user

Isolating scanned handwritten text on a document - Adobe

The empty results.Text indicates that no text is recognized. In the keypad image, the text is sparse and located on an irregular background. In this case, the heuristics used for document layout analysis within ocr might be failing to find blocks of text within the image, and, as a result, text recognition fails. In this situation, disabling the automatic layout analysis, using the 'TextLayout. Learn how to perform optical character recognition (OCR) on Google Cloud Platform. This tutorial demonstrates how to upload image files to Google Cloud Storage, extract text from the images using the Google Cloud Vision API, translate the text using the Google Cloud Translation API, and save your translations back to Cloud Storage. Google Cloud Pub/Sub is used to queue various tasks and. Free online tool to generate your handwritten signature instantly. Just put your sign in paint area in tool and click save button to download your signature image. This tool supports touch screen, you can easily sign using touch enabled devices. Tool having options to change signature color and pen thickness to match your requirements. Also this tool help to practice your signature Image Scanner (OCR) is an Application to recognize text from Image, and it is based on Tesseract OCR. Features of Image Scanner (OCR): * Works offline. * Smaller size. * Extract Text from Image. * Edit extracted text. * Copy extracted text to Clipboard which can be used in any other applications. * Save extracted text as text file The output is a text string, and accuracy is measured as the degree of similarity between the recognized text and the text a human would be able to read from the image. OCR is used to recognize printed text in paper documents, handwritten characters, and text elements in the physical environment, such as license plate numbers, street signs, and.

Uploaded Images - Remove Unwanted Objects & Fix

- Import PDF files and insert pages as images on the pages. - Import PDF files as a book. - Insert maps as an image on the pages. - Extract text from images (OCR). - Generate a dynamic grid calendar based on the selected year, month. GO FURTHER WITH YOUR INKS: - Handwriting recognition : your inks strokes can be exported into raw text Office Lens is a great way to capture notes and information from whiteboards, menus, signs, handwritten memos, or anything with a lot of text. You don't need to jot down notes, rely on blurry images, or worry about misplacing anything. It's great for capturing sketches, drawings and equations too, and even images without text A: Amazon Textract is a document analysis service that detects and extracts printed text, and handwriting, structured data, such as fields of interest and their values, and tables from images and scans of documents. Amazon Textract's machine learning models have been trained on millions of documents so that virtually any document type you.

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Erase Text From a Scanned JPEG Document Quick & Easy

I used DISM to remove the Windows-LanguageFeatures-Handwriting Package from my offline image. The handwriting package isn't needed for our Desktops and I thought I'd try reducing wim file size. After deployment, i noticed Windows 10 went ahead and reinstalled the package on its own! Is there a way to tell it not to reinstall packages I removed It is absolutely free for you. You can handwritten text notes, list or any form of text from paper to editable text in your device in just one click. - Support for mixed or multiple languages in the same image. Subscribe to get unlimited access to the app prime features. Subscriptions are $0.99 USD monthly or $7.99 USD annually

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Best 7 OCR Software Apps to Convert Images Into Text. It is not good for handwriting text, but printed text recognition is much better. 4. Once you are sure about the conversion, remove the image from the tab, save the remaining Text and close the tab. You can see the Google document with the converted Text to the image file Output Text file: As we see, the pages of the PDF were converted to images. Then the images were read, and the content was written into a text file. Advantages of this method include: Avoiding text-based conversion because of encoding scheme resulting in loss of data. Even handwritten content in PDF can be recognized due to the usage of OCR Convert PDF files to other document formats and image formats. It allows you to create and fill PDF forms with ease. Add headers and footers, bates numbering, and other page elements in your PDF documents. Apply digital approval and electronic or handwritten signatures on PDF documents. Convert scanned PDF into editable text by applying OCR Unlock PDF. Remove password and restrictions from PDF. Protect PDF. Secure PDF and set permissions for copying, printing, and modification. Compress PDF. Compress PDF and reduce size for saving and sharing. PDF OCR. Convert scanned PDF pages to text using OCR with 100+ recognition languages. Edit PDF Metadata