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Transform static documents into interactive fillable forms by dragging and dropping various types of fillable fields on your PDFs. Publish these forms on websites or share them via a direct link to capture data, collect signatures, and request payments.
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What our customers say about pdfFiller
See for yourself by reading reviews on the most popular resources:
it was immediately available. it seems fairly straight ahead, but I've not had time to really check it out. each time I use it , it gives me a litle anxiety
2017-04-12
Had a problem with being unable to save a document. However Sam
on the chat line was very helpful (although we could not recover it) and suggested changing the input from javascript to 'flash'. I have now managed to save it.
2018-10-04
This form filler has been incredibly beneficial in aiding me to efficiently complete a number of form related tasks....I would unequivocally recommend this software to all college student!!!
2019-09-14
A Great Time Saving Tool
This software is a great time-saving tool in that it allows me to fill in, search, and edit forms and send them electronically within minutes. That way, I don't have to manually hand write information the form, then scan them (or mail them) and wait for recipients to respond. The software basically digitizes the workflow process, which saves me a lot of time.
The software is limited to specific industries and the forms and features that these industries use. Therefore, not all forms and features are fully applicable to our company so we can't take advantage of them.
2019-04-14
Disappointed. I thought I had until the end of today to cancel the trial but got charged over $100 for using the service just to get matching employer funds for a donation.
2022-12-13
pdfFiller has wonderful support. You can email them or use a chat feature. From the chat feature, I was able to do a remote session through zoom to get my issues resolved quickly. Through email they always respond within 20 minutes. Great customer service!
2022-05-26
It was amazing and very user-friendly! I love that pdffiller makes it so easy to fill out a form and sign a signature. Better than filling a form in Adobe Acrobat because you have to figure it out yourself.
2021-10-10
The platform itself is just brilliant
The platform itself is just brilliant. All the features available make everything so much better, i do wish more companies would start to see it's potential and use it.
2021-08-23
PDF Filler is a fine resource for…
PDF Filler is a fine resource for research, creating, and modifying *pdf files. I found that having Adobe Acrobat Pro allowed me to further refine the document to fit my needs.
2021-02-05
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?
Contact Support
How do you classify text?
Create a new text classifier: Go to the dashboard, then click Create a Model, and choose Classifier: Upload training data: Next, you'll need to upload the data that you want to use as examples for training your model. Define the tags for your model: Tag data to train the classifier:
What are the classification of text?
Text classification or Text Categorization is the activity of labeling natural language texts with relevant categories from a predefined set. In laymen terms, text classification is a process of extracting generic tags from unstructured text. These generic tags come from a set of pre-defined categories.
What is meant by text classification?
Text classification or Text Categorization is the activity of labeling natural language texts with relevant categories from a predefined set. In laymen terms, text classification is a process of extracting generic tags from unstructured text. These generic tags come from a set of pre-defined categories.
Which model is best for text classification?
Linear Support Vector Machine is widely regarded as one of the best text classification algorithms. We achieve a higher accuracy score of 79% which is 5% improvement over Naive Bayes.
How does text classification work?
It exclusively compares the input text with the training texts included in the model. In other words, when you train a model you associate each category to sample texts, so that when you enter a text to classify, the system will compare it with the examples and will determine which one is the nearest.
How do you classify a document?
Expectation maximization (EM) Naive Bayes classifier. Tfidf. Instantaneously trained neural networks. Latent semantic indexing. Support vector machines (SVM) Artificial neural network. K-nearest neighbor algorithms.
How can I improve my text classification?
Broke the documents in list of words. Removed stop words, punctuations. Performed stemming. Replaced numerical values with '#sum#' to reduce vocabulary size. Transformed the documents into TF-IDF vectors.
How do you text a classification?
Create a new text classifier: Go to the dashboard, then click Create a Model, and choose Classifier: Upload training data: Next, you'll need to upload the data that you want to use as examples for training your model. Define the tags for your model: Tag data to train the classifier:
Video Review on How to Classify Approve Text
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