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3D PDF Viewer: Your 3D World in Your Pocket
ProtoTech Solutions offers a cutting-edge 3D PDF Viewer for both iOS and Android platforms, revolutionizing the way businesses and individuals interact with 3D data. With our state-of-the-art mobile application, you can seamlessly access and explore 3D models, making collaboration and communication more intuitive and efficient than ever before.
Key features of our 3D PDF Viewer for iOS and Android include:
Cross-Platform Compatibility: Whether you're using an iPhone, iPad, or Android device, our viewer is designed to work flawlessly on both major mobile platforms.
Interactive 3D Experience: Experience 3D models in all their glory with interactive zoom, pan, and rotate functionalities. Dive into the details of your 3D designs with ease.
Annotations and Markups: Collaborate effectively by adding annotations, markups, and comments directly to 3D models, facilitating communication and design review.
Offline Access: Access your 3D PDFs even without an internet connection, ensuring that your critical data is always at your fingertips, whether you're in the office or on the go.
Secure and Private: Rest easy knowing that your 3D data is kept secure and private, with robust encryption and authentication mechanisms in place.
Customization: Tailor the viewer to your specific needs with customization options that allow you to adapt the interface and functionality to your workflow.
Integration-Friendly: Seamlessly integrate our 3D PDF Viewer into your existing systems and workflows, making it a powerful addition to your toolkit.
ProtoTech Solutions' commitment to innovation and user-centric design ensures that our 3D PDF Viewer for iOS and Android is a game-changer for industries such as manufacturing, architecture, engineering, and more. Experience the future of 3D data visualization and collaboration with ProtoTech Solutions today.
Unlock the potential of your 3D models on your mobile deviceāget started with our 3D PDF Viewer and take your 3D data wherever you go.
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Image to PDF converter gives you an easy and straightforward way to convert jpg to PDF, Photo to PDF, and Picture to PDF from your camera or your gallery without any cost. Photo to PDF is necessary these days, so download our Photo to PDF Converter and worry no more!
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This free PDF Reader ā PDF Viewer is also a powerful PDF viewer. With just one click, free PDF reader makes it easy to improve your work efficiency! Try free PDF Reader - All Document Read, PDF Viewer, and PDF Scanner now to organize your PDFs! Experience the efficiency of easy PDF Reader ā easy PDF Viewer and easy PDF Reader, your all-in-one solution for PDF tasks.
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Top AR & VR Development Companies You Can Hire in 2025
If you've been on the hunt for the best AR and VR developers in town, our comprehensive list is here to help. These are the experts known for delivering both off-the-shelf and custom AR/VR solutions with a quick turnaround. This list will be a valuable resource as you search for the right developers in the AR/VR space.
Treeview
Treeview is an XR studio that creates virtual and augmented reality (AR/VR) software for leading enterprises. Since 2016, we've partnered with innovators like Microsoft and Medtronic to deliver custom AR/VR solutions.
Businesses choose Treeview for our world-class quality, startup agility, and our senior team's end-to-end executionāfrom strategy to deployment.
The Virtual Wild

The Virtual Wild is a Dallas, TX-based digital agency. We pride ourselves on crafting unique solutions that directly address our clients' business challenges, achieved through a blend of strategy, design, and cutting-edge technologies.
We're anything but traditional. Our team is a collective of tech experts, digital storytellers, and empathetic business strategists, all focused on bringing a new "virtual" dimension to the dynamic world of business innovation.
Capitol Interactive
Capitol Interactive is your gateway to the extraordinary, where virtual and augmented reality push the boundaries of imagination. They don't just craft digital experiences; they pioneer adventures into new realms.
Through a blend of innovation and compelling storytelling, they create interactive journeys that redefine engagement. This makes them a beacon for anyone looking to explore the vast potential of AR and VR technologies in today's digital world.
Balti Virtual
Balti Virtual is a full-service augmented and virtual reality studio dedicated to sparking wonder and creativity through state-of-the-art immersive experiences. They're your one-stop XR shop, tackling complex industry challenges with their expert knowledge of cutting-edge technology. Founded in 2015 and based in the U.S., Balti Virtual has partnered with amazing clients including PayPal, HBO, Marvel, and Amazon.
YORD STUDIO

YORD is a top-rated, world-class VR/AR/MR studio dedicated to crafting superior immersive experiences. They partner with leading brands like Adidas, Apple, PwC, KBC Group, and Å KODA, and also support global NGOs such as Human Rights Watch, ONE, and Oceana.
YORD boasts the most experienced development team in the CEE region, and their excellence was recently recognized with a Top B2B award by Clutch.
Presentigo
Presentigo offers the only patented solution for product presentations. It uniquely combines traditional content like PDFs, videos, and images with interactive 3D, AR, and VR experiences, all within a single mobile app for both iOS and Android. This is all powered by a unified cloud platform designed for your sales needs. Engage clients today and boost your sales!
WORKSHOP 3D
WORKSHOP 3D is a creative and agile Augmented Reality Studio. We blend technology and design to deliver content in an enhanced way, fostering a memorable connection with viewers that goes beyond the capabilities of conventional media.
Skywell Software
To stay competitive, enterprises can leverage Skywell's services and solutions. As a leading B2B software development provider, we help clients advance their businesses by transforming their unique, effective ideas into viable products. At Skywell, our mission is to ensure every client achieves their goals.
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Google Drive could soon help you summarize multiple documents
Edgar Cervantes / Android Authority TL;DR Google Drive on Android is working on introducing Gemini-based PDF summary capabilities, similar to those found on Drive on the web. Users will soon be able to access PDF summaries directly within the PDF viewer via a three-dot menu or header icon. The app is also working on multi-file and limited folder summarization features that allow content acrossā¦
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How to Change Default PDF Viewer on Android: Intuitive Steps
See on Scoop.it - SwifDoo PDF
Do you want to know how to change the default PDF viewer on Android? This blog guides you through the steps to do that and a worth-trying PDF reader app.
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The Elusive Definition of āDeepfakeā
New Post has been published on https://thedigitalinsider.com/the-elusive-definition-of-deepfake/
The Elusive Definition of āDeepfakeā
A compelling new study from Germany critiques the EU AI Actās definition of the term ādeepfakeā as overly vague, particularly in the context of digital image manipulation. The authors argue that the Actās emphasis on content resembling real people or events ā yet potentially appearing fake ā lacks clarity.
They also highlight that the Actās exceptions for āstandard editingā (i.e., supposedly minor AI-aided modifications to images) fail to consider both the pervasive influence of AI in consumer applications and the subjective nature of artistic conventions that predate the advent of AI.
Imprecise legislation on these issues gives rise to two key risks: a āchilling effect,ā where the lawās broad interpretive scope stifles innovation and the adoption of new systems; and a āscofflaw effect,ā where the law is disregarded as overreaching or irrelevant.
In either case, vague laws effectively shift the responsibility of establishing practical legal definitions onto future court rulings ā a cautious and risk-averse approach to legislation.
AI-based image-manipulation technologies remain notably ahead of legislationās capacity to address them, it seems. For instance, one noteworthy example of the growing elasticity of the concept of AI-driven āautomaticā post-processing, the paper observes, is the āScene Optimizerā function in recent Samsung cameras, whichĀ can replace user-taken images of the moon (a challenging subject), with an AI-driven, ārefinedā image:
Top left, an example from the new paper of a real user-taken image of the moon, to the left of a Samsung-enhanced version automatically created with Scene Optimizer; Right, Samsungās official illustration of the process behind this; lower left, examples from the Reddit user u/ibreakphotos, showing (left) a deliberately blurred image of the moon and (right), Samsungās re-imagining of this image ā even though the source photo was a picture of a monitor, and not the real moon. Sources (clockwise from top-left): https://arxiv.org/pdf/2412.09961; https://www.samsung.com/uk/support/mobile-devices/how-galaxy-cameras-combine-super-resolution-technologies-with-ai-to-produce-high-quality-images-of-the-moon/; https:/reddit.com/r/Android/comments/11nzrb0/samsung_space_zoom_moon_shots_are_fake_and_here/
In the lower-left of the image above, we see two images of the moon. The one on the left is a photo taken by a Reddit user. Here, the image has been deliberately blurred and downscaled by the user.
To its right we see a photo of the same degraded image taken with a Samsung camera with AI-driven post-processing enabled. The camera has automatically āaugmentedā the recognized āmoonā object, even though it was not the real moon.
The paper levels deeper criticism at the Best Take feature incorporated into Googleās recent smartphones ā a controversial AI feature that edits together the ābestā parts of a group photo, scanning multiple seconds of a photography sequence so that smiles are shuffled forward or backward in time as necessary ā and no-one is shown in the middle of blinking.
The paper contends this kind of composite process has the potential to misrepresent events:
ā[In] a typical group photo setting, an average viewer would probably still consider the resulting photo as authentic. The smile which is inserted existed within a couple of seconds from the remaining photo being taken.
āOn the other hand, the ten second time frame of the best take feature is sufficient for a mood change. A person might have stopped smiling while the rest of the group laughs about a joke at their expense.
āAs a consequence, we assume that such a group photo may well constitute a deep fake.ā
The new paper is titled What constitutes a Deep Fake? The blurry line between legitimate processing and manipulation under the EU AI Act, and comes from two researchers at the Computational Law Lab at the University of Tübingen, and Saarland University.
Old Tricks
Manipulating time in photography is far older than consumer-level AI. The new paperās authors note the existence of much older techniques that can be argued as āinauthenticā, such as the concatenation of multiple sequential images into a High Dynamic Range (HDR) photo, or a āstitchedā panoramic photo.
Indeed, some of the oldest and most amusing photographic fakes were traditionally created by school-children running from one end of a school group to another, ahead of the trajectory of the special panoramic cameras that were once used for sports and school group photography ā enabling the pupil to appear twice in the same image:
The temptation to trick panoramic cameras during group photos was too much to resist for many students, who were willing to risk a bad session at the headās office in order to ācloneā themselves in school photos. Source: https://petapixel.com/2012/12/13/double-exposure-a-clever-photo-prank-from-half-a-century-ago/
Unless you take a photo in RAW mode, which basically dumps the camera lens sensor to a very large file without any kind of interpretation, itās likely that your digital photos are not completely authentic. Camera systems routinely apply āimprovementā algorithms such as image sharpening and white balance, by default ā and have done so since the origins of consumer-level digital photography.
The authors of the new paper argue that even these older types of digital photo augmentation do not represent ārealityā, since such methods are designed to make photos more pleasing, not more ārealā.
The study suggests that the EU AI Act, even with later amendments such as recitals 123ā27, places all photographic output within an evidentiary framework unsuited to the context in which photos are produced these days, as opposed to the (nominally objective) nature of security camera footage or forensic photography. Most images addressed by the AI Act are more likely to originate in contexts where manufacturers and online platforms actively promote creative photo interpretation, including the use of AI.
The researchers suggest that photos āhave never been an objective depiction of realityā. Considerations such as the cameraās location, the depth of field chosen, and lighting choices, all contribute to make a photograph deeply subjective.
The paper observes that routine āclean-upā tasks ā such as removing sensor dust or unwanted power lines from an otherwise well-composed scene ā were only semi-automated before the rise of AI: users had to manually select a region or initiate a process to achieve their desired outcome.
Today, these operations are often triggered by a userās text prompts, most notably in tools like Photoshop. At the consumer level, such features are increasingly automated without user input ā an outcome that is apparently regarded by manufacturers and platforms as āobviously desirableā.
The Diluted Meaning of āDeepfakeā
A central challenge for legislation around AI-altered and AI-generated imagery is the ambiguity of the term ādeepfakeā, which has had its meaning notably extended over the last two years.
Originally the terms applied only to video output from autoencoder-based systems such as DeepFaceLab and FaceSwap, both derived from anonymous code posted to Reddit in late 2017.
From 2022, the coming of Latent Diffusion Models (LDMs) such as Stable Diffusion and Flux, as well as text-to-video systems such as Sora, would also allow identity-swapping and customization, at improved resolution, versatility and fidelity. Now it was possible to create diffusion-based models that could depict celebrities and politicians. Since the termā deepfakeā was already a headline-garnering treasure for media producers, it was extended to cover these systems.
Later, in both the media and the research literature, the term came also to include text-based impersonation. By this point, the original meaning of ādeepfakeā was all but lost, while its extended meaning was constantly evolving, and increasingly diluted.
But since the word was so incendiary and galvanizing, and was by now a powerful political and media touchstone, it proved impossible to give up. It attracted readers to websites, funding to researchers, and attention to politicians. This lexical ambiguity is the main focus of the new research.
As the authors observe, article 3(60) of the EU AI Act outlines four conditions that define a ādeepfakeā.
1: True Moon
Firstly, the content must be generated or manipulated, i.e., either created from scratch using AI (generation) or altered from existing data (manipulation). The paper highlights the difficulty in distinguishing between āacceptableā image-editing outcomes and manipulative deepfakes, given that digital photos are, in any case, never true representations of reality.
The paper contends that a Samsung-generated moon is arguably authentic, since the moon is unlikely to change appearance, and since the AI-generated content, trained on real lunar images, is therefore likely to be accurate.
However, the authors also state that since the Samsung system has been shown to generate an āenhancedā image of the moon in a case where the source image was not the moon itself, this would be considered a ādeepfakeā.
It would be impractical to draw up a comprehensive list of differing use-cases around this kind of ad hoc functionality. Therefore the burden of definition seems to pass, once again, to the courts.
2: TextFakes
Secondly, the content must be in the form of image, audio, or video. Text content, while subject to other transparency obligations, is not considered a deepfake under the AI Act. This is not covered in any detail in the new study, though it can have a notable bearing on the effectiveness of visual deepfakes (see below).
3: Real World Problems
Thirdly, the content must resemble existing persons, objects, places, entities, or events. This condition establishes a connection to the real world, meaning that purely fabricated imagery, even if photorealistic, would not qualify as a deepfake. Recital 134 of the EU AI Act emphasizes the āresemblanceā aspect by adding the word āappreciablyā (an apparent deferral to subsequent legal judgements).
The authors, citing earlier work, consider whether an AI-generated face need belong to a real person, or whether it need only be adequately similar to a real person, in order to satisfy this definition.
For instance, how can one determine whether a sequence of photorealistic images depicting the politician Donald Trump has the intent of impersonation, if the images (or appended texts) do not specifically mention him? Facial recognition? User surveys? A judgeās definition of ācommon senseā?
Returning to the āTextFakesā issue (see above), words often constitute a significant portion of the act of a visual deepfake. For instance, it is possible to take an (unaltered) image or video of āperson aā, and say, in a caption or a social media post, that the image is of āperson bā (assuming the two people bear a resemblance).
In such as case, no AI is needed, and the result may be strikingly effective ā but does such a low-tech approach also constitute a ādeepfakeā?
4: Retouch, Remodel
Finally, the content must appear authentic or truthful to a person. This condition emphasizes the perception of human viewers. Content that is only recognized as representing a real person or object by an algorithm would not be considered a deepfake.
Of all the conditions in 3(60), this one most obviously defers to the later judgment of a court, since it does not allow for any interpretation via technical or mechanized means.
There are clearly some inherent difficulties in reaching consensus on such a subjective stipulation. The authors observe, for instance, that different people, and different types of people (such as children and adults), may be variously disposed to believe in a particular deepfake.
The authors further note that the advanced AI capabilities of tools like Photoshop challenge traditional definitions of ādeepfake.ā While these systems may include basic safeguards against controversial or prohibited content, they dramatically expand the concept of āretouching.ā Users can now add or remove objects in a highly convincing, photorealistic manner, achieving a professional level of authenticity that redefines the boundaries of image manipulation.
The authors state:
āWe argue that the current definition of deep fakes in the AI act and the corresponding obligations are not sufficiently specified to tackle the challenges posed by deep fakes. By analyzing the life cycle of a digital photo from the camera sensor to the digital editing features, we find that:
ā(1.) Deep fakes are ill-defined in the EU AI Act. The definition leaves too much scope for what a deep fake is.
ā(2.) It is unclear how editing functions like Googleās ābest takeā feature can be considered as an exception to transparency obligations.
ā(3.) The exception for substantially edited images raises questions about what constitutes substantial editing of content and whether or not this editing must be perceptible by a natural person.ā
Taking Exception
The EU AI Act contains exceptions that, the authors argue, can be very permissive. Article 50(2), they state, offers an exception in cases where the majority of an original source image is not altered. The authors note:
āWhat can be considered content in the sense of Article 50(2) in cases of digital audio, images, and videos? For example, in the case of images, do we need to consider the pixel-space or the visible space perceptible by humans? Substantive manipulations in the pixel space might not change human perception, and on the other hand, small perturbations in the pixel space can change the perception dramatically.ā
The researchers provide the example of adding a hand-gun to the photo a person who is pointing at someone. By adding the gun, one is changing as little as 5% of the image; however, the semantic significance of the changed portion is notable. Therefore it seems that this exception does not take account of any ācommon-senseā understanding of the effect a small detail can have on the overall significance of an image.
Section 50(2) also allows exceptions for an āassistive function for standard editingā. Since the Act does not define what āstandard editingā means, even post-processing features as extreme as Googleās Best Take would seem to be protected by this exception, the authors observe.
Conclusion
The stated intention of the new work is to encourage interdisciplinary study around the regulation of deepfakes, and to act as a starting point for new dialogues between computer scientists and legal scholars.
However, the paper itself succumbs to tautology at several points: it frequently uses the term ādeepfakeā as if its meaning were self-evident, whilst taking aim at the EU AI Act for failing to define what actually constitutes a deepfake.
First published Monday, December 16, 2024
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How can we edit or crop Portable Document Format (PDF) files on Android phones?
Editing or cropping Portable Document Format (PDF) files on Android phones can be accomplished using various apps available on the Google Play Store. One popular option is Adobe Acrobat Reader, which not only serves as a PDF viewer but also offers editing functionalities such as adding annotations, highlighting text, and cropping pages. Another app, Wondershare PDFelement & Editor, provides similar features, allowing users to crop, annotate, and edit PDF files easily. Additionally, PDF Utils is a straightforward app designed specifically for editing PDFs on Android devices, offering options like cropping, merging, splitting, and rotating PDF pages. Finally, OfficeSuite - Office, PDF, Word, Excel, PowerPoint, is a comprehensive office suite app that includes a PDF editor among its features, enabling users to view, edit, and annotate PDF files, including cropping pages as needed. These apps provide convenient solutions for editing and cropping PDFs directly on Android phones, catering to various user preferences and requirements.
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Unleashing the Power of 3D PDFs: The Ultimate Viewer for iOS and Android
Introduction
With the rapid advancement of technology, our digital world is continually evolving. One exciting development in the realm of document viewing is the integration of 3D technology into PDFs. This innovation has paved the way for a more immersive and interactive experience for users on both iOS and Android devices. In this blog post, we will explore the concept of a 3D PDF viewer and its potential impact on how we interact with documents in the modern era.
What is a 3D PDF Viewer?
A 3D PDF viewer is a cutting-edge application that allows users to access and interact with PDF files that contain three-dimensional content. Unlike traditional PDFs that are static and flat, 3D PDFs enable the integration of interactive 3D models, animations, and annotations directly into the document. This revolutionary technology has opened up new possibilities for various industries, including engineering, architecture, healthcare, education, and entertainment.
Key Features and Benefits
1. Immersive Visualization: The primary advantage of a 3D PDF viewer is its ability to present complex information in a highly visual and interactive manner. Users can rotate, zoom, and pan 3D models, allowing for a better understanding of intricate designs and concepts.
2. Enhanced User Experience: By incorporating 3D elements, PDFs become more engaging and user-friendly. The ability to manipulate and explore 3D objects makes learning and communication more effective and enjoyable.
3. Cross-Platform Accessibility: 3D PDF viewers are compatible with both iOS and Android devices, ensuring that users from different platforms can access and view the documents seamlessly.
4. Collaboration and Communication: For professionals in various industries, 3D PDFs offer a powerful tool for collaboration. Engineers, architects, and designers can share interactive models with clients and colleagues, fostering a more efficient and transparent communication process.
5. Data Visualization: In fields like healthcare and science, 3D PDFs can be used to represent complex data sets and medical imaging, aiding in better analysis and decision-making.
6. Offline Viewing: Unlike some web-based 3D viewers, a native 3D PDF viewer for mobile devices allows users to view their documents offline, ensuring uninterrupted access to critical information even without an internet connection.
Applications and Use Cases
1. Architecture and Design: Architects and designers can showcase their projects in a more engaging way by embedding 3D models and walkthroughs in PDF portfolios.
2. Engineering and Manufacturing: Engineers can use 3D PDFs to present technical designs and product prototypes, facilitating better collaboration with clients and production teams.
3. Education and Training: Educational institutions can leverage 3D PDFs to provide interactive learning materials, enhancing student engagement and understanding of complex subjects.
4. Marketing and Sales: Businesses can create interactive product catalogs and sales materials using 3D PDFs to capture the attention of potential customers.
Conclusion
The integration of 3D PDF viewers for iOS and Android devices marks a significant leap in the world of document viewing. This technology enables professionals and students alike to explore, interact, and communicate complex information in a more engaging and efficient way. From enhancing collaboration to revolutionizing education, the applications of 3D PDFs are vast and promising.
As this technology continues to evolve, we can expect even more exciting developments in the way we consume and interact with digital content. Whether you're an architect showcasing your latest design or a student learning complex scientific concepts, a 3D PDF viewer on your mobile device will undoubtedly elevate your document viewing experience to new heights. So, let's embrace this technological marvel and open the doors to a more immersive and visually compelling future!
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Looking for a powerful document viewer for all files like PDF, excel, word, PPT, txt? This PDF Reader - PDF Viewer is exactly what you need! PDF Reader ā PDF Viewer is a very modern, lightweight app with fast and simple to use that helps you enjoy reading PDFs, reading document more than ever PDF Reader - All Document Reader ā PDF Viewer and PDF Scanner is simple and easy to manage, view and edit PDF files.
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Looking for a powerful document viewer for all files like PDF, excel, word, PPT, txt? This PDF Reader - All Document Read is exactly what you need! PDF Reader ā PDF Viewer is a very modern, lightweight app with fast and simple to use that helps you enjoy reading PDFs, reading document more than ever PDF Reader - All Document Reader ā PDF Viewer and PDF Scanner is simple and easy to manage, view and edit PDF files.
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PDF Downlod and Ofline view
dependencies {
implementation 'com.github.barteksc:android-pdf-viewer:3.2.0-beta.1' implementation 'com.airbnb.android:lottie:6.3.0' implementation 'com.mindorks.android:prdownloader:0.6.0' } //-------
MainActivity -----------------
<?xml version="1.0" encoding="utf-8"?> <LinearLayout xmlns:android="http://schemas.android.com/apk/res/android" xmlns:app="http://schemas.android.com/apk/res-auto" xmlns:tools="http://schemas.android.com/tools" android:layout_width="match_parent" android:layout_height="match_parent" android:layout_gravity="center" android:background="@color/white" android:gravity="center" android:orientation="vertical" tools:context=".MainActivity" >
<Button android:id="@+id/button1" android:layout_width="wrap_content" android:layout_height="wrap_content" android:backgroundTint="#BCCC25" android:padding="10sp" android:text="PDF One View" android:textColor="#60BF46" android:textSize="30dp" />
<Button android:id="@+id/button2" android:layout_width="wrap_content" android:layout_height="wrap_content" android:layout_marginTop="10dp" android:backgroundTint="#395393" android:padding="10sp" android:text="PDF One View" android:textColor="#33BAB6" android:textSize="30dp" />
</LinearLayout>
Main Activity.java class
package com.shipon.pdflodanddownlod;
import androidx.appcompat.app.AlertDialog; import androidx.appcompat.app.AppCompatActivity;
import android.app.ProgressDialog; import android.content.DialogInterface; import android.content.Intent; import android.os.Bundle; import android.view.LayoutInflater; import android.view.View; import android.webkit.URLUtil; import android.widget.Button; import android.widget.LinearLayout; import android.widget.Toast;
import com.downloader.Error; import com.downloader.OnCancelListener; import com.downloader.OnDownloadListener; import com.downloader.OnPauseListener; import com.downloader.OnProgressListener; import com.downloader.OnStartOrResumeListener; import com.downloader.PRDownloader; import com.downloader.Progress;
import java.io.File;
public class MainActivity extends AppCompatActivity {
Button button1, button2; int downloadId;
@Override protected void onCreate(Bundle savedInstanceState) { super.onCreate(savedInstanceState); setContentView(R.layout.activity_main); PRDownloader.initialize(getApplicationContext());
button1 = findViewById(R.id.button1); button2 = findViewById(R.id.button2);
button1.setOnClickListener(v -> {
String pdfurl = "https://www.w3.org/WAI/ER/tests/xhtml/testfiles/resources/pdf/dummy.pdf";
File fil = new File(getCacheDir(), URLUtil.guessFileName(pdfurl, null, null));
if (fil.exists()){
Intent intent = new Intent(MainActivity.this, MainActivity2.class); intent.putExtra("isOnline", false); intent.putExtra("pdfurl", pdfurl); startActivity(intent);
}else { showDialog(pdfurl); }
});
button2.setOnClickListener(v -> {
String pdfurl = "https://www.clickdimensions.com/links/TestPDFfile.pdf"; File fil = new File(getCacheDir(), URLUtil.guessFileName(pdfurl, null, null));
if (fil.exists()){
Intent intent = new Intent(MainActivity.this, MainActivity2.class); intent.putExtra("isOnline", false); intent.putExtra("pdfurl", pdfurl); startActivity(intent);
}else { showDialog(pdfurl); }
});
}//============== onCreate end method ================= public void showDialog(String pdfUrl) {
AlertDialog.Builder alert = new AlertDialog.Builder(MainActivity.this); LayoutInflater inflater = getLayoutInflater();
View myView = inflater.inflate(R.layout.choose_item, null); Button btOnline = myView.findViewById(R.id.btOnline); Button btDownlod = myView.findViewById(R.id.btDownlod); Button btCancel = myView.findViewById(R.id.btCancel); alert.setView(myView);
AlertDialog alertDialog = alert.create();
alertDialog.setCancelable(false);
btOnline.setOnClickListener(v -> {
Intent intent = new Intent(MainActivity.this, MainActivity2.class); intent.putExtra("isOnline", true); intent.putExtra("pdfurl", pdfUrl); startActivity(intent);
alertDialog.dismiss();
});
btDownlod.setOnClickListener(v -> {
downlodPDF(pdfUrl); alertDialog.dismiss(); });
btCancel.setOnClickListener(v -> {
alertDialog.dismiss();
});
alertDialog.show(); }// how Dialog end method -------- private void downlodPDF(String pdfurl) {
ProgressDialog progressDialog=new ProgressDialog(MainActivity.this); progressDialog.setIcon(R.drawable.down_24); progressDialog.setMessage("Downloading PDF File, Please Wait a moment..."); progressDialog.setCancelable(false); progressDialog.setButton(DialogInterface.BUTTON_NEGATIVE, "Cancel", new DialogInterface.OnClickListener() { @Override public void onClick(DialogInterface dialog, int which) { Toast.makeText(getApplicationContext(), "Downlod Start", Toast.LENGTH_SHORT).show(); PRDownloader.cancel(downloadId); progressDialog.dismiss(); } });
progressDialog.show(); downloadId = PRDownloader.download(pdfurl, String.valueOf(getCacheDir()), URLUtil.guessFileName(pdfurl, null, null)) .build() .setOnStartOrResumeListener(new OnStartOrResumeListener() { @Override public void onStartOrResume() {
} }) .setOnPauseListener(new OnPauseListener() { @Override public void onPause() {
} }) .setOnCancelListener(new OnCancelListener() { @Override public void onCancel() {
} }) .setOnProgressListener(new OnProgressListener() { @Override public void onProgress(Progress progress) { int progressPercentage = (int) (progress.currentBytes*100/progress.totalBytes); progressDialog.setMessage("Downlod : "+progressPercentage+" %");
} }) .start(new OnDownloadListener() { @Override public void onDownloadComplete() {
Toast.makeText(getApplicationContext(), "Downlod Completed", Toast.LENGTH_SHORT).show(); Intent intent = new Intent(MainActivity.this, MainActivity2.class); intent.putExtra("isOnline", false); intent.putExtra("pdfurl", pdfurl); startActivity(intent);
progressDialog.dismiss(); }
@Override public void onError(Error error) {
Toast.makeText(getApplicationContext(), "Downlod Failed", Toast.LENGTH_SHORT).show(); progressDialog.dismiss(); } });
}
}//============== public class ==========================
MainActivity 2 xmal class start
<?xml version="1.0" encoding="utf-8"?> <RelativeLayout xmlns:android="http://schemas.android.com/apk/res/android" xmlns:app="http://schemas.android.com/apk/res-auto" xmlns:tools="http://schemas.android.com/tools" android:layout_width="match_parent" android:layout_height="match_parent" android:background="@color/white" tools:context=".MainActivity2">
<com.airbnb.lottie.LottieAnimationView android:id="@+id/lotti" android:layout_width="match_parent" android:layout_height="wrap_content" android:visibility="invisible" app:lottie_autoPlay="true" app:lottie_loop="true" app:lottie_rawRes="@raw/pdf" />
<com.github.barteksc.pdfviewer.PDFView android:id="@+id/pdfView" android:layout_width="match_parent" android:layout_height="match_parent" android:visibility="invisible" />
</RelativeLayout>
MainActivity2.java class start
package com.shipon.pdflodanddownlod;
import androidx.appcompat.app.AppCompatActivity;
import android.os.AsyncTask; import android.os.Bundle; import android.view.View; import android.webkit.URLUtil; import android.widget.Toast;
import com.airbnb.lottie.LottieAnimationView; import com.github.barteksc.pdfviewer.PDFView; import com.github.barteksc.pdfviewer.util.FitPolicy;
import java.io.BufferedInputStream; import java.io.File; import java.io.IOException; import java.io.InputStream; import java.net.HttpURLConnection; import java.net.MalformedURLException; import java.net.URL;
public class MainActivity2 extends AppCompatActivity {
// public static String AssateName=""; LottieAnimationView lotti; PDFView pdfView;
@Override protected void onCreate(Bundle savedInstanceState) { super.onCreate(savedInstanceState); setContentView(R.layout.activity_main2);
pdfView = findViewById(R.id.pdfView); lotti = findViewById(R.id.lotti); lotti.setVisibility(View.VISIBLE);
boolean isOnline = getIntent().getBooleanExtra("isOnline", true); String pdfurl = getIntent().getStringExtra("pdfurl"); if (isOnline == true) { new RetrivePDFfromUrl().execute(pdfurl);
} else {
File fil = new File(getCacheDir(), URLUtil.guessFileName(pdfurl, null, null));
lodPDFOffline(fil);
}
}//============= onCreate ned method =================== private class RetrivePDFfromUrl extends AsyncTask<String, Void, InputStream> { @Override protected InputStream doInBackground(String... strings) {
try { URL url = new URL(strings[0]); HttpURLConnection httpURLConnection = (HttpURLConnection) url.openConnection();
if (httpURLConnection.getResponseCode() == HttpURLConnection.HTTP_OK) { return new BufferedInputStream(httpURLConnection.getInputStream()); }
} catch (MalformedURLException e) { throw new RuntimeException(e);
} catch (IOException e) { throw new RuntimeException(e); }
return null; }
@Override protected void onPostExecute(InputStream inputStream) { super.onPostExecute(inputStream);
if (inputStream != null) { lodPDFOnline(inputStream);
} else { Toast.makeText(MainActivity2.this, "PDF lod failed", Toast.LENGTH_SHORT).show(); }
} }
private void lodPDFOnline(InputStream inputStream) {
pdfView.fromStream(inputStream) .enableSwipe(true) .swipeHorizontal(true) .enableDoubletap(true) .defaultPage(0) .enableAnnotationRendering(false) .password(null) .scrollHandle(null) .enableAntialiasing(true) .spacing(0) .pageFitPolicy(FitPolicy.WIDTH) .pageSnap(true) // snap pages to screen boundaries .pageFling(true) // make a fling change only a single page like ViewPager .onLoad(nbPages -> { lotti.setVisibility(View.GONE); pdfView.setVisibility(View.VISIBLE);
}) .load();
}
private void lodPDFOffline(File file) {
pdfView.fromFile(file) .enableSwipe(true) .swipeHorizontal(true) .enableDoubletap(true) .defaultPage(0) .enableAnnotationRendering(false) .password(null) .scrollHandle(null) .enableAntialiasing(true) .spacing(0) .pageFitPolicy(FitPolicy.WIDTH) .pageSnap(true) // snap pages to screen boundaries .pageFling(true) // make a fling change only a single page like ViewPager .onLoad(nbPages -> { lotti.setVisibility(View.GONE); pdfView.setVisibility(View.VISIBLE);
}) .load();
}
}//= ==================== public calss end method =======================
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