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What our customers say about pdfFiller
See for yourself by reading reviews on the most popular resources:
I use PDFfiller on an iMac which does not have Flash installed. The main problem I have is that some of the text I deleted in a PDF file using PDFfiller appears to remain in the file. After I save the file, exit PDFfiller, and reopen the file with PDFFiller, the text I deleted was actually deleted and no longer in the file. So these steps serve as my workaround to this bug in PDFFiller on computers without Flash.
I greatly appreciate the PDFfiller Help Team explains the reasons why the bug remains in the current version of PDFfiller, transitting from requiring Flash to not requiring it.
Furthermore, as a software engineer myself, I fully accept the reasons for this bug to remain in the current, transitional version of PDFFiller.
Thank you very much, the PDFfiller team.
Wan Chan
2017-07-03
This is a great programme
This is a great programme - but as an individual, probably not quite what I wanted as it is a bit expensive for the odd document.
2020-04-10
Great product...relatively easy to use
Great product...relatively easy to use, especially if one is familiar with this type of document editing app. I am please with how much of a time-saver it is. I couldn't give 5-stars because the cost of the "Full Version" is really too expensive for me, but other than that, it's a very handy tool.
2020-03-03
One time using pdfFiller the first time…
One time using pdfFiller the first time saved me time doing a very basic operation (checking off fields when I was entering information from forms into another program). I have used the other program for over 15 years but recently moved from a PC to MacBook Pro. The program for Mac is harder to use than the PC product. I have spent too much time and frustration with that program. After one use, I had to spend much less time with little frustration. I hope it continues as I using pdfFiller
2024-11-14
I was happy with the subscription but at this time I can’t afford it.
I'm happy with the subscription and the deal I got from the company. I wanted a good subscription that did the basics, and the site recommended one that checked all the boxes. Speaking with the service team helped me get exactly what I was looking for.
The only reason not to give 5 stars is the fact that I had to decline from the offer because it was to expensive annually, rather than it being monthly.
2024-10-10
I had to fill an application and I really loved being able to type my thoughts. The other features seem great too, like the circle for multiple choice questions was cool too.
2021-07-04
Marie was nice enough to be a human but…
Marie was nice enough to be a human but not enough to tell me her favourite colour. Overall great instant service
2021-01-16
What do you like best?
I love how I can neatly complete compliance filings that don't have a fillable PDF format using PDF filler. I can type on the form in PDF filler instead of having to print a hard copy and hand write or use a typewriter - who even has access to one of those anymore, lol?
What do you dislike?
It can be tricky to get the alignment just right and then save the completed document.
Recommendations to others considering the product:
Great tool for using to complete documents that don't have fillable format.
What problems are you solving with the product? What benefits have you realized?
Completing compliance filings for various States that don't offer fillable PDF forms.
2020-08-31
Easy to use however as a student and…
Easy to use however as a student and not a large user of this functionality, the plans are not fit for my purpose.
2025-05-25
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.
What if I have more questions?
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What is a fit statistic?
The goodness of fit of a statistical model describes how well it fits a set of observations. Measures of goodness of fit typically summarize the discrepancy between observed values and the values expected under the model in question.
How well do models fit data?
In general, a model fits the data well if the differences between the observed values and the model's predicted values are small and unbiased. Before you look at the statistical measures for goodness-of-fit, you should check the residual plots.
How well does the model fit the data?
In general, a model fits the data well if the differences between the observed values and the model's predicted values are small and unbiased. Before you look at the statistical measures for goodness-of-fit, you should check the residual plots.
What does fit the model mean?
Fitting a model means that you're making your algorithm learn the relationship between predictors and outcome so that you can predict the future values of the outcome. So the best fitted model has a specific set of parameters which best defines the problem at hand.
How should you fit a model to data?
Model fitting is a procedure that takes three steps: First you need a function that takes in a set of parameters and returns a predicted data set. Second you need an 'error function' that provides a number representing the difference between your data and the model's prediction for any given set of model parameters.
What is a good fit model?
It indicates the absolute fit of the model to the data how close the observed data points are to the model's predicted values. RMSE is a good measure of how accurately the model predicts the response, and it is the most important criterion for fit if the main purpose of the model is prediction.
How do you tell if a regression is a good fit?
Mentor: Well, if the line is a good fit for the data then the residual plot will be random. However, if the line is a bad fit for the data then the plot of the residuals will have a pattern.
How do you tell if a regression model is a good fit in R?
A good way to test the quality of the fit of the model is to look at the residuals or the differences between the real values and the predicted values. The straight line in the image above represents the predicted values. The red vertical line from the straight line to the observed data value is the residual.
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