DocFetcher is an Open Source desktop search application: It allows you to search the contents of files on your computer. — You can think of it as Google for your local files. The application runs on Windows, Linux and OS X, and is made available under the Eclipse Public License.
General File Search Tips For Finding Files on Windows 10. Next, we’ll take a look at a number of general file search tips you can use for finding files on Windows 10. These tips will be useful for all files, including images, so you can even use them in conjunction with the image specific tips listed above.
The screenshot below shows the main user interface. Queries are entered in the text field at (1). The search results are displayed in the result pane at (2). The preview pane at (3) shows a text-only preview of the file currently selected in the result pane. All matches in the file are highlighted in yellow.
You can filter the results by minimum and/or maximum filesize (4), by file type (5) and by location (6). The buttons at (7) are used for opening the manual, opening the preferences and minimizing the program into the system tray, respectively.
DocFetcher requires that you create so-called indexes for the folders you want to search in. What indexing is and how it works is explained in more detail below. In a nutshell, an index allows DocFetcher to find out very quickly (in the order of milliseconds) which files contain a particular set of words, thereby vastly speeding up searches. The following screenshot shows DocFetcher's dialog for creating new indexes:
Clicking on the 'Run' button on the bottom right of this dialog starts the indexing. The indexing process can take a while, depending on the number and sizes of the files to be indexed. A good rule of thumb is 200 files per minute.
While creating an index takes time, it has to be done only once per folder. Also, updating an index after the folder's contents have changed is much faster than creating it — it usually takes only a couple of seconds.
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DocFetcher also supports, among other things: Wildcards, phrase search, fuzzy search ('find words that are similar to...'), proximity search ('these two words should be at most 10 words away from each other'), boosting ('increase the score of documents containing...')In comparison to other desktop search applications, here's where DocFetcher stands out:
Crap-free: We strive to keep DocFetcher's user interface clutter- and crap-free. No advertisement or 'would you like to register...?' popups. No useless stuff is installed in your web browser, registry or anywhere else in your system.
Privacy: DocFetcher does not collect your private data. Ever. Anyone in doubt about this can check the publicly accessible source code.
Free forever: Since DocFetcher is Open Source, you don't have to worry about the program ever becoming obsolete and unsupported, because the source code will always be there for the taking. Speaking of support, have you gotten the news that Google Desktop, one of DocFetcher's major commercial competitors, was discontinued in 2011? Well...
Cross-platform: Unlike many of its competitors, DocFetcher does not only run on Windows, but also on Linux and OS X. Thus, if you ever feel like moving away from your Windows box and on to Linux or OS X, DocFetcher will be waiting for you on the other side.
Portable: One of DocFetcher's greatest strengths is its portability. Basically, with DocFetcher you can build up a complete, fully searchable document repository, and carry it around on your USB drive. More on that in the next section.
Indexing only what you need: Among DocFetcher's commercial competitors, there seems to be a tendency to nudge users towards indexing the entire hard drive — perhaps in an attempt to take away as many decisions as possible from supposedly 'dumb' users, or worse, in an attempt to harvest more user data. In practice though, it seems safe to assume that most people don't want to have their entire hard drive indexed: Not only is this a waste of indexing time and disk space, but it also clutters the search results with unwanted files. Hence, DocFetcher indexes only the folders you explicitly want to be indexed, and on top of that you're provided with a multitude of filtering options.
One of DocFetcher's outstanding features is that it is available as a portable version which allows you to create a portable document repository — a fully indexed and fully searchable repository of all your important documents that you can freely move around.
Usage examples: There are all kinds of things you can do with such a repository: You can carry it with you on a USB drive, burn it onto a CD-ROM for archiving purposes, put it in an encrypted volume (recommended: TrueCrypt), synchronize it between multiple computers via a cloud storage service like DropBox, etc. Better yet, since DocFetcher is Open Source, you can even redistribute your repository: Upload it and share it with the rest of the world if you want.
Java: Performance and portability: One aspect some people might take issue with is that DocFetcher was written in Java, which has a reputation of being 'slow'. This was indeed true ten years ago, but since then Java's performance has seen much improvement, according to Wikipedia. Anyways, the great thing about being written in Java is that the very same portable DocFetcher package can be run on Windows, Linux and OS X — many other programs require using separate bundles for each platform. As a result, you can, for example, put your portable document repository on a USB drive and then access it from any of these operating systems, provided that a Java runtime is installed.
This section tries to give a basic understanding of what indexing is and how it works.
The naive approach to file search: The most basic approach to file search is to simply visit every file in a certain location one-by-one whenever a search is performed. This works well enough for filename-only search, because analyzing filenames is very fast. However, it wouldn't work so well if you wanted to search the contents of files, since full text extraction is a much more expensive operation than filename analysis.
Index-based search: That's why DocFetcher, being a content searcher, takes an approach known as indexing: The basic idea is that most of the files people need to search in (like, more than 95%) are modified very infrequently or not at all. So, rather than doing full text extraction on every file on every search, it is far more efficient to perform text extraction on all files just once, and to create a so-called index from all the extracted text. This index is kind of like a dictionary that allows quickly looking up files by the words they contain.
Telephone book analogy: As an analogy, consider how much more efficient it is to look up someone's phone number in a telephone book (the 'index') instead of calling every possible phone number just to find out whether the person on the other end is the one you're looking for. — Calling someone over the phone and extracing text from a file can both be considered 'expensive operations'. Also, the fact that people don't change their phone numbers very frequently is analogous to the fact that most files on a computer are rarely if ever modified.
Index updates: Of course, an index only reflects the state of the indexed files when it was created, not necessarily the latest state of the files. Thus, if the index isn't kept up-to-date, you could get outdated search results, much in the same way a telephone book can become out of date. However, this shouldn't be much of a problem if we can assume that most of the files are rarely modified. Additionally, DocFetcher is capable of automatically updating its indexes: (1) When it's running, it detects changed files and updates its indexes accordingly. (2) When it isn't running, a small daemon in the background will detect changes and keep a list of indexes to be updated; DocFetcher will then update those indexes the next time it is started. And don't you worry about the daemon: It has really low CPU usage and memory footprint, since it does nothing except noting which folders have changed, and leaves the more expensive index updates to DocFetcher.
Select the two files you want to compare and start the comparison. A few seconds later, you will see the differences between the two files.
Your files do not necessarily have to be PDFs. This app supports all files that our system can convert to PDF. The conversion to PDF is done automatically.
PDF24 makes it as easy as possible for you to compare documents. You don't need to install or set up anything, just select your files.
There are no special requirements for comparing two files on your system. This app works with all major operating systems and browsers.
You do not need to install any software. The files are compared on our servers. Your system does not require any special requirements.
Our file comparison tool does not store your files longer than necessary. Your files and results will be removed from our server after a short time.