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What our customers say about pdfFiller
See for yourself by reading reviews on the most popular resources:
Experience was OK. Site is not clear on how to change type size and document size when filling in form. Also don't appreciate having to use PDFfiler and pay for a subscription just to save my document and print a copy. It contradicts your advertising for a Free service.
2017-02-06
I have found that PDFfiller is very simple to use and offers quite the range of options. Matter of fact, to date, I have yet to figure out anything they don't offer that I would ask to be added. Quite a happy client!
2017-04-27
so far its Great the only part is when i sign it it diplays the PDF Filter logo on th e document meaning i have to print it and sign it and scan the document deveafting the whole purpose of your system
2017-09-12
It works and I'll keep using it!
It's been a good experience. I have used it several times and it gets the job done.
I get PDFs sent to me from time to time and it can't get much simpler than using the PDFfiller. It works great.
Nothing that I am unhappy with. It works every time and I have come to depend on it. Allows me to be professional and quick.
2020-03-18
Life saver !
My experience with this PDFfiller has been amazing to say the least !
This software is a life saver in so many ways! When making any kind of document or adjusting a word, date or time on a document this allows me to fix all my mistakes !
This softwares has no flaws in my opinion it's very self explanatory and has given me absolutely no issues this far.
2019-08-22
PDF Filler makes my job EASIER!
PDF Filler makes my work so much easier. I am a teacher and I need to change PDF files all the time to meet my students needs. So, before I would print out the original and have to white out what I needed gone and make a copy. Now, I can just upload to PDF Filler, change what I need changed, save a copy of the changed PDF and have it ready to go. I love PDF Filler. Thanks for making my job easier!
2023-11-30
several clunky features
There are several clunky features I did not like.
(1) My first issue was that when editing text, the font would change from Times New Roman to Arial within the edit box. The user had to "tell" the computer to switch back to Times New Roman.
(2) Another issue I spotted is that if I want to italicize ONE word on a line of text, the entire line will become italicized. This was cured by deleting the italicized word, then creating a separate text box with the italicized word in it. The italic text box was dropped into the line of text with the plain text around it.
(3) When editing text, the size of text will drop down a size or two. The writer must "bump" up the text size with the upward arrow to get it to match the text in the original document.
Otherwise, I like using PDFfiller. Of course, PDF editing is not as simple as ordinary word editing. Or perhaps PDF editing gets easier after continual practice.
2023-09-23
a bit pricey but undoubtedly has every feature you could need on one service. The USPS Mail feature is 100% what encouragd my subscription. 10/10 recommend
2021-07-18
Great tool for PDF format
It's good to have it and override feature added on
Smaller storage, clearer version, can override it, often use PDF format due to easier for storage, while others take too much storages
It's not free and commercialize product, so it can be personal use. It has limited features when it's not upgraded to an override version
2021-04-25
Classify Image Resolution Feature
The Classify Image Resolution feature helps you analyze and categorize images based on their resolution. This tool ensures that your images meet specific requirements for various applications, leading to improved performance and user experience.
Key Features
Accurate image categorization by resolution type
User-friendly interface for easy navigation
Instant feedback on image quality
Integration with existing workflows and systems
Support for various image formats
Potential Use Cases and Benefits
Ensuring images meet required standards for web publishing
Improving image processing in graphic design projects
Optimizing images for digital marketing campaigns
Enhancing user experience in applications and websites
Facilitating quality control in imaging processes
This feature addresses common issues with image quality and suitability. By using the Classify Image Resolution feature, you can quickly identify images that do not meet your needs, saving time and resources. This proactive approach helps you maintain high standards and avoid potential problems down the line.
For pdfFiller’s FAQs
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What is the best model for image classification?
1 Exception. It translates to Extreme Inception. ...
2 VGG16 and VGG19: This is a eras model with 16 and 19 layer networks that has an input size of 224×224. ...
3 ResNet50. The Reset architecture is another pre-trained model highly useful in Residual Neural Networks. ...
4 InceptionV3. ...
5 Densest. ...
6 Mobileye. ...
7 Asset.
Which algorithm is used for image recognition?
Some algorithms used in image recognition (Object Recognition, Face Recognition) are SIFT (Scale-invariant Feature Transform), SURF (Speeded Up Robust Features), PCA (Principal Component Analysis), and LDA (Linear Discriminant Analysis).
What can you do with image recognition?
The computer vision can distinguish objects, facial expressions, food, natural landscapes and sports, among others. Besides tagging of people on photos, image recognition is used to translate visual content for blind users and to identify inappropriate or offensive images.
How does image recognition AI work?
It uses computer vision and image recognition to make its judgments. ... But the process of training a neural network to perform image recognition is quite complex, both in the human brain and in computers. AI, at this point, is much like a small child.
Why is CNN good for image classification?
In machine learning, Convolutional Neural Networks (CNN or Connect) are complex feed forward neural networks. CNN's are used for image classification and recognition because of its high accuracy. ... It has 55,000 images -- the test set has 10,000 images and the validation set has 5,000 images.
Why CNN is used for image classification?
In machine learning, Convolutional Neural Networks (CNN or Connect) are complex feed forward neural networks. CNN's are used for image classification and recognition because of its high accuracy. ... It has 55,000 images the test set has 10,000 images and the validation set has 5,000 images.
What is CNN in image processing?
In neural networks, Convolutional neural network (Connects or CNN's) is one of the main categories to do images recognition, images classifications. ... CNN image classifications takes an input image, process it and classify it under certain categories (E.g., Dog, Cat, Tiger, Lion).
Why CNN is used?
Convolutional Neural Network(CNN): It is an artificial neural network that is so far been most popularly used for analysis images. Although image analysis is most widely used for image analysis, they can also be used for other data analysis and classification problems.
Is CNN used only for images?
All Answers (5) Hence, CNN scan be used at any place where there's a location relationship among the features. ... Natural language processing tasks, time series tasks, and proteomics are some areas where CNN can be used.
What is image classification machine learning?
Image classification is a supervised learning problem: define a set of target classes (objects to identify in images), and train a model to recognize them using labeled example photos. Early computer vision models relied on raw pixel data as the input to the model.
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