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Used PDF filler to help with guardianship papers for our grandson. Paid over $500 for help in 2010. PDF filler saved money and most important, time by being able to fill them at home and not the legal library.
2019-02-02
Easy to use
Easy to use. Only one downside - can't bring in any other types of fonts. That would be helpful. Other than that it's good for my needs.
2020-01-14
very easy to use
It is very easy to use, very self explanatory.
If you could include an electronic signature platform or integrate one like with adobe sign or some other document signature software would be great.
2019-09-18
An Alternative To Adobe
Run a small business without additional Adobe and DocuSign subscriptions....
It is a great value and it surprises me with new features on a quarterly basis. When I need new functionality I search for it and am no longer surprised when it is there!
I wish it would break down .PDF text into MS Word documents.
2019-09-18
Its OK
Easy to use on desktop, but on the mobile it was OK like C+ overall, but good idea
It does what it should, but its a simple to use. If I had more time to use it, maybe give 120 day trial? I loved the signature and email process of the paperwork. Thats was easy.
I wish we can do more in the free trial. So I can dig in more. Make the mobile experience more easier
2019-09-17
I was able to edit the pdf…
I was able to edit the pdf appropriately. When I converted to a word document, the places I had checkmarks in the pdf did not align properly in the word document, but that's really the only issue I had.
2024-11-22
Bravo!
I was just on the phone and wrote back to congratulate the customer service rep on my call. I was very nervous about making sure my document was sent properly because a 5 year deal is riding on it. She helped calm me and understand things were handled properly. Bravo!
2022-10-07
This is a true time saver!!!
This is a true time saver!!!! Not real user friendly BUT if you stay with it you'll reach your goal of a completed form. After that, print off and take to or send to the Court. If you need to modify later you simply go back to your account and documents saved and make the changes.
2021-05-11
Great PDF program for mac users
I absolutely love pdffiller! I just wish it was either cheaper per month or maybe could be bought for only one or two months when needed.
2020-10-07
Index Image Attestation Feature
The Index Image Attestation feature offers a reliable way to verify the authenticity and integrity of images. In today’s digital landscape, ensuring that images are genuine is critical for businesses. This feature empowers you to maintain trust with your audience and prevent misuse of your visual content.
Key Features
Automatic verification of image authenticity
Robust tracking of image changes
Seamless integration with existing workflows
User-friendly interface for easy management
Real-time alerts for unauthorized modifications
Potential Use Cases and Benefits
Validating images for marketing campaigns to ensure credibility
Protecting intellectual property by tracking image usage
Enhancing trust in e-commerce platforms through verified visuals
Supporting compliance with industry standards and regulations
Facilitating investigations by providing clear image histories
By implementing the Index Image Attestation feature, you can solve the problem of image misrepresentation. It allows you to ensure that your visuals remain unchanged and authentic, thereby safeguarding your brand's reputation. This feature not only builds trust with your customers but also provides you with peace of mind as you navigate the complexities of image management.
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What is an indexed image?
An indexed image consists of an array and a color map matrix. An indexed image uses direct mapping of pixel values in the array to color map values. By convention, this documentation uses the variable name X to refer to the array and map to refer to the color map.
What is meant by Image Indexing?
From Wikipedia, the free encyclopedia. Concept-based image indexing, also variably named as “description-based” or “text-based” image indexing/retrieval, refers to retrieval from text-based indexing of images that may employ keywords, subject headings, captions, or natural language text (Chen & Rasmussen, 1999).
What do you mean by concept indexing approach?
AbstractConcept-based document indexing deals with representing documents by means of semantic entities, the concepts, rather than lexical entities, the keywords. In this paper we propose an approach for concept-based document representation and weighting.
What is image content?
Image content search is the capacity for software to recognize objects in digital images and return a search engine results page (SERP) based on a user query. ... In contrast, traditional image search looks for keywords in content associated with images through text or meta-tags.
What is CBI in image processing?
What is Content-Based Image Retrieval (CBI) 1. Also known as Query By Image Content (BIC), presents the technologies allowing to organize digital pictures by their visual features. They are based on the application of computer vision techniques to the image retrieval problem in large databases.
What is content query?
Content-based image retrieval, also known as query by image content (BIC) and content-based visual information retrieval (CB VIR), is the application of computer vision techniques to the image retrieval problem, that is, the problem of searching for digital images in large databases (see this survey for a recent ...
What is the bit depth of an indexed image?
Indexed images always contain a palette — a special table of colors. Each pixel is an index in this table. Usually a palette contains 256 or fewer entries. That's why the maximum depth of an indexed pixel is 8 BPP.
What is the bit depth of an image?
Bit depth refers to the color information stored in an image. The higher the bit depth of an image, the more colors it can store. The simplest image, a 1 bit image, can only show two colors, black and white. That is because the 1 bit can only store one of two values, 0 (white) and 1 (black).
How do you find the color depth of an image?
2^16 colors does not mean RGB. It means that pixel color information has 16bits → 2^16 → 65536 possibilities. ...
picture size in Bytes size = width[pixels] * height[pixels] * pixel size[BYTE] ...
size of pixel in BYTES from number of colors pixel size = cal(log2(sum of colors)/8)
How do you calculate a bit depth?
Simple calculation. Multiply the total number of pixels by the number of 'bits' of color (usually 24) and divide the result by 8 (because there are 8 'bits' in a 'byte'). e.g.
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