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What our customers say about pdfFiller
See for yourself by reading reviews on the most popular resources:
I didn't know working with *.pdf files could be SO EASY. PDF Filler allows me access to any form I need and to copy all text from page one and paste to all other pages so I only have to complete the form once.
2014-08-03
Works extremely well
Super easy to figure out
Very intuitive
On the minus side I don't have enough PDFs monthly to justify the cost.
Maybe there could be a 'per page cost' for the infrequent needs.
2014-09-26
What do you like best?
It's simple and easy. I can pull forms from the internet, email, my desktop, etc and fill them in for a professional look.
What do you dislike?
The printing process could be laid out a little more simply. It works well; but a little 'clumsy' vs smooth like printing in microsoft products.
Recommendations to others considering the product:
It an efficient product that makes all documents/applications/etc look professional.
What problems are you solving with the product? What benefits have you realized?
Completion of all business forms look professional. We've eliminated handwritten credit applications. It's efficient to create and especially for credit applications, we save the prior information there so easy to update.
It's simple and easy. I can pull forms from the internet, email, my desktop, etc and fill them in for a professional look.
What do you dislike?
The printing process could be laid out a little more simply. It works well; but a little 'clumsy' vs smooth like printing in microsoft products.
Recommendations to others considering the product:
It an efficient product that makes all documents/applications/etc look professional.
What problems are you solving with the product? What benefits have you realized?
Completion of all business forms look professional. We've eliminated handwritten credit applications. It's efficient to create and especially for credit applications, we save the prior information there so easy to update.
2019-02-25
Amazing software
Amazing software, Unreal flexibility for the price. Only thing I would change is possibly the phone numbers as we are not all in US. All in all, saves hours a week.
2020-03-11
Easy to use
Easy to useAllows the user to do things like make forms fillable very quickly. The size of the fields I added were slightly bigger than I would like, but this was not a major problem. Otherwise, I think it's intuitive and pretty easy. My needs are fairly simple, though - just making a workbook fill-able by students working online.
2021-09-22
Really very convenient, far more handier than the others selectable with a quick google search.....not sure about $20 monthly fee though. An account with a paid service per use would also be handy, but 9/10
2021-06-25
What do you like best?
pdfFiller is user-friendly.
Creating templates and editing forms is a breeze.
Blacking out HIPPA information is quick and easy.
Customer Service is prompt and courteous. They resolved my issues quickly and efficiently.
Our corporate office just opened another account, and everyone loves it.
What do you dislike?
I don't have any complaints. pdfFiller has everything I need to make my tasks more manageable.
What problems are you solving with the product? What benefits have you realized?
Completing required medical forms is faster and easier than ever before.
Blacking out HIPAA information on EOB's has cut our time in half for claim submissions.
2021-05-28
Love how easy it is to navigate and how I can auto fill any areas that I need to write in again. It's very practical and I will be recommending it to anyone, especially because i can access legal documents so easily!
2020-06-07
This has by far been the best document application ever I just wish it wasnt so expensive. If it was more of a value I would pay for it monthly. But I love it
2025-04-01
For pdfFiller’s FAQs
Below is a list of the most common customer questions. If you can’t find an answer to your question, please don’t hesitate to reach out to us.
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What is text feature extraction?
Feature extraction is used for dimensional reduction, in other words to reduce the number of features from feature set to improve the memory requirement for text representation. There are different machine learning and NLP techniques.
What is feature extraction in text mining?
Abstract Natural Language Processing (NLP) and Machine Learning concepts are acclaimed in today's digitalization of data. Feature extraction is extracting an important subset of features from a data for improving the classification task. Correctly identifying the related features in a text is important.
What is feature in text mining?
Feature selection in text mining is mainly used in connection with applying known machine learning and statistical methods on text when addressing tasks such as Document Clustering or Document Classification.
What is feature extraction in data mining?
Feature extraction is a process of dimensionality reduction by which an initial set of raw data is reduced to more manageable groups for processing. A characteristic of these large data sets is many variables that require a lot of computing resources to process.
What is feature extraction in signal processing?
1 Signal Feature Extractions. Feature extraction is the transformation of original data to a data set with a reduced number of variables, which contains the most discriminatory information. By reducing the bandwidth of the input data, improved processing speed is achievable.
How do you extract features from text data?
Selection from the document part can reflect the information on the content words, and the calculation of weight is called the text feature extraction [5]. Common methods of text feature extraction include filtration, fusion, mapping, and clustering method.
How do you extract information from unstructured data?
First analyze the data sources. Know what will be done with the results of the analysis. Decide the technology for data intake and storage as per business needs. Keep the information stored in a data warehouse till the end. Formulate data for the storage.
How do you prepare text data for machine learning?
Feature Extraction. Step 1 : Collect Data, for example consider the nursery rhyme. Step 2 : Design the vocabulary, while defining the vocabulary we take the preprocessing text steps as mentioned previously to clean the text of punctuation, converting all words to small case etc. Step 3 : Create Document Vectors.
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