Google Vision Ocr Example Java

Since 1933, Navy Federal Credit Union has grown from 7 members to over 8 million members. Your models get to production faster with much less effort and lower cost. In a previous blog, we explained how to use it to add safe searching to your images. With the OCR method, you can detect printed text in an image and extract recognized characters into a machine-usable character stream. Once you have the Bitmap image you can then convert it into a frame and do processing on it. That makes it possible to test your Captchas' durability, among other uses. Build a cross-platform geospatial desktop application in Java. Several models are accessible using one REST API interface…. The challenge here are the backgrounds. Extracts a string and its information from an indicated UI element or an image using Abbyy OCR Engine. So when I print them, it will print out text from the bottom , then maybe from the left, then maybe the top. Cloud Vision API: Integrates Google Vision features, including image labeling, face, logo, and landmark detection, optical character recognition (OCR), and detection of explicit content, into applications. In this article, we'll demonstrate building an Arm NN-based application for an IoT device that can perform automatic trash sorting through image analysis. So is there a way to leverage the power of Google Images to quickly gather training images and thereby cut down on the time it takes to build your dataset? You bet there is. Step 3: Open netbeans and then click on open project –> navigate to the place where you extracted the tess4j archive and then choose tess4j project. handong1587's blog. If you are interested in learning more about Google Cloud Search, our next generation Enterprise Search product. So the combination worked like: for each image if there was same text from two of these APIs we used that as the detected text, else we choose the text returned by one of the API in the preference order of Google vision followed by Microsoft cognitive service and the last being. But i dont know how to get the subscription key from and how to authenticate and make calls in C#. However, it is not entirely straightforward to use the library when behind a proxy, especially one that requires authentication, and when connecting over HTTPS. Click More tools Clear browsing data. Handwriting detection with Optical Character Recognition (OCR) The Vision API can detect and extract text from images: DOCUMENT_TEXT_DETECTION extracts text from an image (or file); the response is optimized for dense text and documents. You can include instructions in your dynamic URLs that tell Cloudinary to manipulate your assets using a set of transformation parameters. Computer Vision API - v2. Google Cloud Vision API Example: google-cloud-vision-api-example. For this OCR project, we will use the Python-Tesseract, or simply PyTesseract, library which is a wrapper for Google's Tesseract-OCR Engine. Mostly automatic installation $ react-native link react-native-ocr-lib. GoogleCloudOCR Extracts a string and its information from an indicated UI element or image using the Google Cloud OCR engine. Creating a searchable PDF with opensource tools ghostscript, hocr2pdf and tesseract-ocr I bet creating searchable PDFs has been done many times over, even so I'd like to share the way I did it recently with strictly open source tools. Browse, discover, and download 3D objects and scenes. The intent of this project is to help you "Learn Java by Example" TM. Recognizing text using your Android phone. However, my problem is that it is defining the textblocks out of order. public final class Page extends com. This would imply that the sourcecode is somewhere stored on the device and bitmaps are not sent to Google servers for OCR processing. steeve on Mar 24, 2016 We are amazingly good results using SWT[1] for text detection/boundaries and Tesseract for OCR. Prerequisites. Google Photos is the first to bring image recognition features to the public. Written in optimized C/C++, the library can take advantage of multi-core processing. VR lets you experience what it's like to go anywhere — from. And help users navigate the world around them by pairing Computer Vision with Immersive Reader to turn pictures of text into words read aloud. Text recognition can automate tedious data entry for credit cards, receipts, and business cards. For this week’s write-up we will create a simple Android app that uses Google Mobile Vision API’s for Optical character recognition(OCR). Creating Project Make sure you have properly setup the Android SDK, AVD for Testing the Application. public Point[] getCornerPoints (). Finally we decided to try it on Google Vision API - after seeing the demo. Cloud Vision allows you to do very powerful image processing. Java Code Examples: Ready to use Java examples which you can use directly into your Java programs. With iOS 11, Apple finally introduced a native machine learning and machine vision framework. Official G Suite Admin Help Center where you can find tips and tutorials on using G Suite Admin and other answers to frequently asked questions. This HTML tutorial contains hundreds of HTML examples. Vision API is more of an image processing framework than just an optical character recognition framework. OCR API - our free web API**, includes OCR command line examples with cURL. Home » Android » QR Code Scanner – Barcode Scanner for Android QR Code scanner or Barcode scanner for android features are present in many apps to read some useful data. NET Image Processing and Machine Learning Framework. Official Google Drive Help Center where you can find tips and tutorials on using Google Drive and other answers to frequently asked questions. Requirements for OCR: · The size of the input image must be between 40 x 40 and 3200 x 3200 pixels. The engine is written in C++. We will also handle run-time permission for CAMERA WRITE_EXTERNAL_STORAGE Purchase Code. ; Using this API in a mobile app? Try ML Kit for Firebase, which provides native Android and iOS SDKs for using Cloud Vision services, as well as on-device ML Vision APIs and on-device inference using custom ML models. Here are the examples of the java api class com. You can vote up the examples you like and your votes will be used in our system to generate more good examples. NET Online Tutorial for How to Extract Text from Tiff, Jpeg, Png, Gif, Bmp, and Scanned PDF Files RasterEdge provides users with the most standard and comprehensive Optical Character Recognition SDK that is fully developed, highly accurate and easy to work within C#. Convert image to text using CMD Command Prompt ,Tesseract Optical Character Recognition(OCR) Google Coding Interview with an ex-Microsoft Software Engineer Java Project Tutorial. iptv iptv4sat iptv m9 iptvdroid iptv smarters apk iptv مجاني iptvdroid box iptv smarters player iptv m3u arabic iptv القيصر iptv pro apk iptv تحميل. Our Mission, Vision and Values Mission. Java OCR download | SourceForge. To securely communicate with Google Cloud Vision, we used the Google API Client Library for Java to establish. Documentation and Java Code. Again, the APIs did rather well. Learn about Google’s core values and company philosophy. This page contains information about getting started with the Cloud Vision API using the Google API Client Library for Java. Google Vision API connects your code to Google's. Let’s look at a chihuahua example. Identity & extract printed text from the image by Optical Character Recognition (OCR). In this tutorial I will show you how to implement Google Text Recognition API on Android. space) and then assess the recognition quality yourself with the overlay. The points are contained in the Frame. Our Mission, Vision and Values Mission. Note: We've recently added new features or fields to DOCUMENT_TEXT_DETECTION. The app is designed to teach you JavaScript in the simplest way, with well explained examples for better understanding. 이번에는 구글의 Vision API를 한번 정리해보도록 하겠습니다. Example 1 Project: java-docs-samples File: Detect. This HTML tutorial contains hundreds of HTML examples. …Again, I think this is something…almost easier to see than to say. The OCR function can be called from Apps Script as well with the Drive REST API v2. public final class Page extends com. You can vote up the examples you like and your votes will be used in our system to generate more good examples. You are REQUIRED to utilize and build upon this codebase. The PRO OCR API runs on physically different servers then our free OCR API service. OCW makes the materials used in the teaching of MIT's subjects available on the Web. gradle file, make sure to include Google's Maven repository in both your buildscript and allprojects sections. Methods and apparatuses for controlling access to computer systems and for annotating media files by Luis Von Ahn et al, Carnegie Mellon University, published June 26. You receive the URLs for the three global PRO endpoints and your API key in the welcome email directly after you have signed-up for the PRO or PRO PDF account. TextApp data/. To avoid this use the 64-bit ImageJ in Mac. public final class Page extends com. Android Mobile Vision API. My favorite feature has to be the label detection. Once all steps are confirmed, an. 94 Released Bug fixes, improved examples, multithreaded cross validation! Neuroph Manifesto The future of Neuroph! Neuroph is lightweight Java neural network framework to develop common neural network architectures. In 1995 it was one of the top 3 performers at the OCR accuracy contest organized by University of Nevada in Las Vegas. The Vision API can detect and transcribe text from PDF and TIFF files stored in Google Cloud Storage. Similar to how one might use these API in combination we also tested to see the best possible performance we can get. HOW ADOBE SCAN WORKS: With the free mobile scanner app, you can make. Generally OCR works as follows:. Visit safety. This is the technology which makes it possible for us to search for photos containing a particular lan. Small memory footprint and lack of external dependencies makes it suitable for android development. We also provide the previous codebase. I had a work where I had to use an OCR library and they said that I can use anything. The details can be found in the forum. Can some body tell me the step by step procedure to do that. Hey guys! In this tutorial, we're gonna be creating a cool OCR Scanner using the Google Mobile Vision Library In Android. Our Mission, Vision and Values Mission. One of the first steps in developing OCR systems is line detection. 2 Bug Fixes. Learn from basic to advanced concepts by Java examples and coding samples. 1 seconds for IBM. Give Cloud Vision an image, and it will tell you what. So the combination worked like: for each image if there was same text from two of these APIs we used that as the detected text, else we choose the text returned by one of the API in the preference order of Google vision followed by Microsoft cognitive service and the last being. A lot of people today are trying to write their own OCR (Optical Character Recognition) System or to improve the quality of an existing one. Over five million people in more than 180 countries have used Python Tutor to visualize over 100 million pieces of code, often as a supplement to textbooks, lectures, and online tutorials. Find your yodel. ENHANCED DOCUMENT SEPARATION & QA Separate multi-page documents with barcodes, unique text or OMR marks. Share suggestions, ask questions, and connect with other users and top contributors in the Google Search community forum. so that way any body can understand. if you have any issue please. The Computer Vision API provides state-of-the-art algorithms to process images and return information. Next we will do the same for English alphabets, but there is a slight change in data and feature set. Let’s look at a chihuahua example. When backed by their Machine Vision infrastructure, this API enables developer to give their applications vision capability. This concept is used in many applications like systems for factory automation, toll booth monitoring, and security surveillance. One of my colleague suggested to use "Tesseract API". Skip to content. Google Docs supports OCR so you can upload a scanned PDF file or an image to Google Drive and it will extract the text from the file. Note: This API does not support face recognition, as it does not determine 2 faces are likely to correspond to the same person. Message it's for Content Editors. java, get the detection result. Examples can be found in the wiki. Google Vision API is used to find the objects like images, faces in photos, and videos, and barcodes. You focused your studies specifically on computer vision and machine learning. Don't know where the assessment "Msft, Google APIs accuracy still below par" came from. If you want to buy HIPR2. Android TV now comes with your Google Assistant built in. TextApp data/. Cognitive Services - Intelligence applications | Microsoft Azure 2. To execute a TensorFlow Java program, the JVM must access libtensorflow. Make Google your homepage Get instant access to search, every time you. Requirements for OCR: · The size of the input image must be between 40 x 40 and 3200 x 3200 pixels. (Author Unknown) This is the classic program, with a web interface, that attempts to use basic AI to imitate certain aspects of a therapeutic conversation. For this week's write-up we will create a simple Android app that uses Google Mobile Vision API's for Optical character recognition(OCR). PyOCR is an optical character recognition (OCR) tool wrapper for python. AWS Rekognition - an image classification tutorial If you've reached this article because you are building an app that needs some computer vision functionality or you need to compare which cloud service is suitable for you, then you are at the right place. Obtain predictions for application using APIs. Cloud Vision API: Integrates Google Vision features, including image labeling, face, logo, and landmark detection, optical character recognition (OCR), and detection of explicit content, into applications. UiPath Activities are the building blocks of automation projects. There are several. Developers can access code to import libraries, API to recognize an image, and run application. Builder com. Third-party apps can use these APIs to take advantage of or extend the functionality of the existing services. Supports optical character recognition for Vietnamese and other languages supported by Tesseract. For software developers and geeks:. In this video we will extract Text from the Image taken from: Camera Gallery Using the Google Vision API. In this example to make a Google Cloud Vision API request on Android, we will be using Google API Client library for java. This website uses cookies to ensure you get the best experience on our website. B4A Library Barcode reader based on Google Play Services Vision Other [new feature] Three birds with one stone B4A Question Exalmle to project of B4A Tutorial MJPEG / CCTV Server B4A Question Google Vision enhancements?. Have been using the zxing barcode reader up until recently, but have had some issues making use of the front camera. JTwain (a Java Twain implementation) provides you a set of clean and simple APIs to access, control digital cameras and scanners. Documentation and Python Code. You can find files in Google Drive, Docs, Sheets, and Slides by searching for: File title File contents Items featured in pictures, PDF files, or other files stored on your Drive You can onl. This concept is used in many applications like systems for factory automation, toll booth monitoring, and security surveillance. Before beginning, you will need: Basic coding experience in Python. reCAPTCHA uses an advanced risk analysis engine and adaptive challenges to keep automated software from engaging in. - [Instructor] So to understand more about…an example of a machine learning service…that Google Cloud is offering,…we're going to look at the Cloud Vision API. Hello, i tried using your tutorial with NetBeans and got stuck with "Exception in thread "main" java. Google Search Forum. How to fix Failed to load Main-Class manifest attribute from jar. The details can be found in the forum. For example, last year we: Published a research paper about a new transparency tool, which enabled the launch of Model Cards for several of our Cloud AI products. Well organized and easy to understand Web building tutorials with lots of examples of how to use HTML, CSS, JavaScript, SQL, PHP, Python, Bootstrap, Java and XML. Your models get to production faster with much less effort and lower cost. Sign in - Google Accounts. VR lets you experience what it's like to go anywhere — from. More than a HOWTO, this document is a HOW-DO-I use Python to do my image processing tasks. The OCR tutorial is hosted in the Google Cloud Functions documentation. It presents activities such as Validate Docume. Machine learning (ML) is quickly becoming an important part of mobile development, but it isn’t the easiest thing to add to your apps! Find out how to get started with ML, by creating an. Google Cloud Vision OCR  Microsoft Cognitive Services (Read API)  Since our use case is full-text search, we're not seeking to extract any structural data, just a set of words as a user might transcribe the image. Backed by Google, trusted by top apps Firebase is built on Google infrastructure and scales automatically, for even the largest apps. This opens up a whole host of new possibilities, promising great leaps forward in apps and games of all natures. I hope it will be useful for you who want to try Vision API without being bothered to get the token API from Google Cloud. IDAutomation provides components to automate existing business applications with barcode technology. As i known, they have different algorithms to detect text. Developers can use libtesseract C or C++ API to build their own application. For example, a photograph might contain a street sign or traffic sign. Feel free to reach out to Firebase support for help. The Computer Vision API provides state-of-the-art algorithms to process images and return information. However, my problem is that it is defining the textblocks out of order. With more than 2,400 courses available, OCW is delivering on the promise of open sharing of knowledge. What we've covered. The company's product portfolio includes web and enterprise development solutions and Java-native integration libraries. The Mobile Vision API is now a part of ML Kit. Cognitive Services - Intelligence applications | Microsoft Azure 2. Microsoft Cognitive Services. Google Cloud의 Vision API 사용해보기. This tutorial will show how to use and implement OCR library (tesseract) in android application. Mostly automatic installation $ react-native link react-native-ocr-lib. Google was the only API to successfully identify muffin as the label that is most probable. It's quite simple and easy to use, and can detect most languages with over 90% accuracy. Google Data Studio. When a new version is found we ask your permission to upgrade your Java installation. Projects Community Docs. : 2 Machine learning algorithms are used in a wide variety of applications, such as email filtering and computer vision, where it is difficult or infeasible to develop a conventional algorithm for effectively performing the task. Eblearn is a C++ machine learning library with a BSD license for energy-based learning, convolutional networks, vision/recognition applications, etc. Step 4: Now open a new Java project in your netbeans and type the below code. The API we are using here is the Tesseract OCR which is free licensed. Text Recognition API Overview Text recognition is the process of detecting text in images and video streams and recognizing the text contained therein. Cognitive Services gives us access to powerful AI algorithms that allow our apps to hear, speak, identify, and interpret information using natural methods of communication. Google Cloud Vision API Java examples. Suffers from developer perception that, as with other Google services, the Cloud Vision API could easily be discontinued at any time. The intent of this project is to help you "Learn Java by Example" TM. Download Tesseract OCR for free. Java OCR download | SourceForge. OCR is a field of research in pattern recognition, artificial intelligence and computer vision. A list of free software to convert images and PDF's into editable text. reCAPTCHA is a free service that protects your website from spam and abuse. Inside Search. Department of Health and Human Services (HHS) Office for Civil Rights' (OCR) Mission and Vision. Computer Vision API - v2. The app is designed to teach you JavaScript in the simplest way, with well explained examples for better understanding. The BufferedImage subclass describes an java. (Source code for Android sample) Prerequisites Download Maven. Join GitHub today. The model was trained on the UTK Face Dataset, with around 20 thousand annotated faces. Google Goggles OCR product of Google Inc. 1BestCsharp blog 7,316,267 views 3:43:32. The Google Cloud Vision API enables developers to understand the content of an image by encapsulating powerful machine learning models in an easy to use REST API. Extracts a string and its information from an indicated UI element or an image using Abbyy OCR Engine. I had a work where I had to use an OCR library and they said that I can use anything. Don't know where the assessment "Msft, Google APIs accuracy still below par" came from. 5/6: Chinese movie subtitles. Android SQLite Tutorial. Whether you need the power of cloud-based processing, the real-time capabilities of Mobile Vision's on-device models, or the flexibility of custom. Learn from basic to advanced concepts by Java examples and coding samples. Can some body tell me the step by step procedure to do that. SQLite is an open-source relational database i. NET is a framework for scientific computing in. I have implemented google vision api ocr to read a chosen image from gallery. Google's Optical Character Recognition (OCR) software now works for over 248 world languages (including all the major South Asian languages). Its chief developer is Ray Smith. Meaning we can spend more time getting our wonderful thoughts written down rather than wasting it trying to find the shift key. Integrates Google Vision features, including image labeling, face, logo, and landmark detection, optical character recognition (OCR), and detection of explicit content, into applications. Use your browser's back button to return to the Vision API documentation. One of the most common and popular approaches is based on neural networks, which can be applied to different tasks, such as pattern recognition, time series prediction, function approximation. In this section we will try OCR'ing three sample images using the following process: First, we will run each image through the Tesseract binary as-is. When you use Maven as described here, it will automatically download the needed client libraries. I have integrated Google Cloud Vision API in my java application for text recognition from complex formatted documents. Emgu CV can be used from several different languages, including C#, VB. Example code for training Neural Networks and Restricted Boltzmann Machines is included. The latest release of the Google Play services SDK includes the mobile vision API which, among other things, makes it very easy for Android developers to create apps capable of detecting and reading QR codes in real time. NET Assemblies, Label Printing Software, Barcode Scanners and Barcode Generation Cloud Services. Search and read the full text of patents from around the world with Google Patents, and find prior art in our index of non-patent literature. We’ve updated this tutorial on April 2019. This example Java source code file (ForwardingLoadingCache. Ads Powered by Dynamsoft. So I started to look for existing popular OCR libraries and I found: Tesseract Asprise Google Cloud Vision So…. Here, we will just import the Google Vision API Library with Android Studio and implement the OCR for retrieving text from camera preview. Here are the examples of the java api class com. Document text detection from PDF and TIFF must be requested using the asyncBatchAnnotate function, which performs an asynchronous request and provides its status using the operations resources. Flexibility JTwain can be used in any Java stand alone application, web application, etc. Text: © 2004 Robert Fisher, Simon Perkins. It can be used with other OCR activities, such as Click OCR Text, Hover OCR Text, Double Click OCR Text, Get OCR Text, and Find OCR Text Position. Similar to how one might use these API in combination we also tested to see the best possible performance we can get. ImageSource: Google mobile vision doc This API can be used to create hands-free controls for Games and Apps. Creates Thumbnail method by cropping an image. Damiles Blog About. Before beginning, you will need: Basic coding experience in Python. Google is proud to be an equal opportunity workplace and is an affirmative action employer. Machine Vision & Media Processing Rest APIs |PixLab I used to work for PixLab, so I'm quite familiar with their OCR API. An awesome IT blog where i write about computer vision, image processing servers, amazon AWS, Artificial intelligence, Virtual and Augmented reality, OCR and more. NET Assemblies, Label Printing Software, Barcode Scanners and Barcode Generation Cloud Services. HOW ADOBE SCAN WORKS: With the free mobile scanner app, you can make. I hope it will be useful for you who want to try Vision API without being bothered to get the token API from Google Cloud. It has a seven day trial period to use the Vision API in which testing can be performed and after that, you can buy the subscription. Optical character recognition or optical character reader (OCR) is the electronic or mechanical conversion of images of typed, handwritten or printed text into machine-encoded text, whether from a scanned document, a photo of a document, a scene-photo (for example the text on signs and billboards in a landscape photo) or from subtitle text superimposed on an image (for example from a television broadcast). In this tutorial, we’ll be discussing and implementing the Barcode API present in the Google Mobile Vision API. With our online HTML editor, you can edit the HTML, and click on a button to view the result. The Google API Client Library for Java can be used to authenticate with the Google Cloud Platform and to make requests to the Google Vision API. COCO-Text is a new large scale dataset for text detection and recognition in natural images. The ocr only supports traineddata files created using tesseract-ocr 3. Most codelabs will step you through the process of building a small application, or adding a new feature to an existing application. Image Size :. OCR Engine. Latest Articles. Now you should see the tess4j project in your projects tab as shown below. In this video i am showing how to use google cloud vision api service for identify images easily. Get the source code:. Answer: Your problem might be with the execution of UiPath. Google has many special features to help you find exactly what you're looking for. Convert image to text using CMD Command Prompt ,Tesseract Optical Character Recognition(OCR) Google Coding Interview with an ex-Microsoft Software Engineer Java Project Tutorial. , 1 JavaCV Java Computer Vision - Computer vision library with Java language front end, 1 NDK Android Native Developer Kit - A kit that allows native language (C++) programming on Android, 1 OCR Optical Character Recognition - The act of rec-ognizing characters from an image, 1. To follow this tutorial, you will need:. With the Google Assistant built-in, build an intelligent speaker that can understand you, and respond when you ask it a question or tell it to do something. To securely communicate with Google Cloud Vision, we used the Google API Client Library for Java to establish. If you want to buy HIPR2. Some methods are hard to use and not always useful. 14 best open source ocr projects. This retrieves the text from any PDF or image, using, only if necessary, the OCR engine of your choi. The OCR function can be called from Apps Script as well with the Drive REST API v2. Step 4: Now open a new Java project in your netbeans and type the below code. My library. The J4L OCR tools is a set of components that can be used in Java applications to recognize text within an image and parse such texts. ImageSource: Google mobile vision doc This API can be used to create hands-free controls for Games and Apps. You can vote up the examples you like and your votes will be used in our system to generate more good examples. TextApp data/. So is there a way to leverage the power of Google Images to quickly gather training images and thereby cut down on the time it takes to build your dataset? You bet there is. Convert image to text using CMD Command Prompt ,Tesseract Optical Character Recognition(OCR) Google Coding Interview with an ex-Microsoft Software Engineer Java Project Tutorial. We created a script which identifies objects from the image. From my experience, extraction on OCR is generally not that great. This is different than structured scenes, which contain known scenarios where the position of text is known beforehand. The Mobile Vision Text API gives Android developers a powerful and reliable OCR capability that works with most Android devices and won't increase the size of your app. (if I found the coordinates in the image) not in the google example. Apply the API with live streaming with video feed from your webcam. Some of these products have a strong focus on specific use cases - like form data extraction - which we're not evaluating. In this article, we'll demonstrate building an Arm NN-based application for an IoT device that can perform automatic trash sorting through image analysis. This is not your average OCR task. Don't know where the assessment "Msft, Google APIs accuracy still below par" came from. Google Vision API is used to find the objects like images, faces in photos, and videos, and barcodes. public final class Page extends com. Google Cloud Vision API Java examples. They are based on the Tesseract OCR Engine (mainly maintained by Google) and Leptonica image processing libraries. Google has announced the launch of the OCRopus project, which is developing an optical character recognition system under the Apache license. 1BestCsharp blog 7,316,267 views. Source code to display a sentence in C++ programming A simple C++ program to display "Hello, World!" on the screen. Once all steps are confirmed, an. With our online HTML editor, you can edit the HTML, and click on a button to view the result. The notable cloud providers for OCR are: 1. About the guide. Tesseract, Asprise, Google Could Vision. The following are top voted examples for showing how to use com. Access Google Docs with a free Google account (for personal use) or G Suite account (for business use). Hello world. Finished!. It is working but the scanning is less than good. Here, we will just import the Google Vision API Library with Android Studio and implement the OCR for retrieving text from camera preview. They allow you to take in information and content visually, in the same way you take in the world. To securely communicate with Google Cloud Vision, we used the Google API Client Library for Java to establish. com "Java Source Code Warehouse" project. With Drive Enterprise, businesses only pay for the storage employees use. It is intended for university-level Computer Science students considering seeking an internship or full-time role at Google or in the tech industry generally; and university faculty; and others working in, studying, or curious about software engineering. data in opencv/samples/cpp/ folder. CNET is the world's leader in tech product reviews, news, prices, videos, forums, how-tos and more.