How to Use DigUp AI for Beginners (2026 Guide)

Posted on Oct 20 • Originally published at aitoolsteps.com

You know that sinking feeling: you are certain a file exists somewhere on your computer — the invoice from March, the photo of the red car, the presentation with the quarterly figures — but no matter what you type into the search box, your PC just stares back blankly. The problem is not you. Traditional search tools only match the exact words in a filename. As a result, if you cannot remember the filename, you are out of luck.

Fortunately, DigUp AI fixes exactly this. It is a free, open-source app for Mac, Windows and Linux that lets you search your computer's files by describing what is inside them, the way you would describe it to a friend. News about the tool broke on 20 October 2026, and it has quickly caught the attention of anyone drowning in digital clutter.

Under the hood, DigUp is powered by Google DeepMind's EmbeddingGemma 2 embedding model — roughly 740 million parameters, supporting more than 100 languages, released under the permissive Apache 2.0 license. The crucial part for beginners: it runs fully locally on your PC. There is no account to create, no sign-up form, and nothing ever leaves your computer. You describe a file, the model understands what you mean, and DigUp searches a local index of your files to find it. It even combines semantic matching for your descriptions with exact matching for things like filenames and invoice numbers — a hybrid search approach that covers both bases.

If you are figuring out how to use DigUp AI for beginners, this guide walks you through everything, step by step: downloading, installing, the one-time setup, building your first index, and the searching tricks that make DigUp genuinely useful. No technical background needed.

First, before you install anything, it helps to understand what is happening when you search, because it changes how you phrase your queries:

You describe the file in plain words. Instead of typing a filename, you type something like "the spreadsheet with last year's electricity bills" or "holiday photo with the red car".

EmbeddingGemma 2 turns your words into meaning. The AI model converts your description into a mathematical representation of its meaning, so "car" and "automobile" or "bill" and "invoice" are understood as the same idea.

DigUp searches its local index. Every file you let DigUp index gets the same treatment — its contents are converted into meaning too. The app then matches your query against that index and shows the best matches.

Exact matching still works. When you type something precise like an invoice number or a filename, DigUp's hybrid search switches to exact matching, so precise queries are not sacrificed for clever ones.

Now, with that mental model in place — describe it, the AI understands it, matches appear — you are ready to install.

To begin, DigUp is distributed through its official release page on GitHub, which is also where the open-source code lives. Because the project is community-driven rather than a big commercial product, always download from the official DigUp release page or its official GitHub repository — never from a random mirror site, which could bundle unwanted extras.

However, a few things are worth knowing before you click download:

It is genuinely free. No trial, no premium tier, no feature locked behind a paywall. The Apache 2.0 license means anyone can use, study and modify it.

Pick the build for your operating system. There are versions for macOS, Windows and Linux. Grab the one that matches your machine.

No account or sign-up is required. You will not be asked for an email address at any point — refreshing in an era where every app wants your details.

Next, download the installer file and keep it somewhere easy to find, like your Downloads folder. That is all there is to step one.

From there, installation is straightforward on all three platforms. Here is what to expect on each:

Windows: Run the downloaded installer and follow the prompts. If Windows SmartScreen shows a warning about an unrecognized app, that is normal for open-source software — click "More info" and then "Run anyway" only if you downloaded it from the official release page.

macOS: Open the downloaded disk image and drag the DigUp icon into your Applications folder. On first launch, macOS may warn that the app is from an unidentified developer; right-click the app, choose Open, and confirm. You may also be asked to grant file access permissions so DigUp can index your files — approve these, as the app cannot search folders it cannot read.

Linux: Depending on the release format, you may get an AppImage or a packaged binary. For an AppImage, make it executable with chmod +x and run it. For a package, install it with your distribution's package manager.

Once installed, launch DigUp. On the very first run, it will not be ready to search immediately — one important setup step comes first.

Then, when you first open DigUp, the app downloads the EmbeddingGemma 2 AI model — roughly 865MB — onto your computer. This is the brain of the whole operation, and it only happens once.

For a smoother experience, a few practical tips for this step:

Use a stable WiFi connection. 865MB is a sizable download; a mobile hot spot will work but will eat into your data allowance.

Be patient — it is a one-off. The download can take several minutes depending on your connection speed. Future launches skip this entirely.

Check your disk space. Make sure you have at least a couple of gigabytes free, since the model plus the search index need room to breathe.

The model lives on your machine. This is precisely why DigUp can work offline afterwards — the AI is installed locally, not rented from a server somewhere.

Once the model download completes, DigUp is ready for its most important job: learning what is on your computer.

In other words, DigUp cannot search files it has never seen, so your first real task is to build an index — a local catalog of your files' contents that the app searches through in milliseconds.

Instead, start small rather than indexing your entire hard drive on day one:

Begin with one meaningful folder, such as Documents or a project folder. This keeps the first index fast and lets you learn the ropes.

Point DigUp at the folder using the app's folder-selection option, then start the indexing process.

First, let it run in the background. The first index takes the longest because every file's contents must be read and converted into embedding vectors. You can keep using your computer meanwhile, though heavy tasks may slow things slightly.

Check the progress indicator so you know when the index is complete — searching before it finishes will give incomplete results.

So, how long does indexing take? It depends on how many files you have and how large they are. A few hundred documents might take minutes; tens of thousands of files could take considerably longer. The good news is that re-indexing later — picking up new and changed files — is much faster, since only the differences need processing. Set a reminder to refresh your index periodically, or check whether your version of DigUp offers automatic re-indexing.

Now this is the moment DigUp earns its keep. Forget filenames — type what you remember about the file's contents, as naturally as you can.

"presentation about quarterly sales from March"

"the PDF contract I signed with the landlord"

"recipe for chocolate cake with coffee in it"

Additionally, to get the best results from semantic search, keep these habits in mind:

Describe unique details. "The spreadsheet with last year's electricity bills" beats "spreadsheet" every time — the more distinctive your description, the better the match.

Write like you talk. Full natural sentences work better than keyword soup. The model was trained on human language, so use it.

Do not worry about exact wording. If the document says "automobile" and you type "car", DigUp still understands. That is the whole point of meaning-based search.

Try a different angle if results look off. Describe the file another way — mention who sent it, roughly when, or what it looked like — and search again.

In addition, with over 100 languages supported by the underlying model, you can even search in your own language and find documents written in another. For multilingual households and workplaces, that alone is worth the download.

Semantic search is DigUp's headline feature, but sometimes you know exactly what you are looking for — an invoice number, a part code, a precise filename. DigUp's hybrid search handles these with exact matching, so precision queries do not get lost in cleverness.

Invoice and receipt numbers — type the number and jump straight to the document.

Next, order references and tracking codes buried in PDF files or emails saved as files.

Exact filenames when you remember them — DigUp finds them instantly without needing a description.

Product codes, serial numbers and account IDs scattered across spreadsheets and documents.

In short, the practical takeaway: use descriptions when your memory is fuzzy, and use exact terms when your memory is sharp. DigUp's hybrid approach means you never have to decide which "mode" you are in — just type what you know and let the app figure out the rest.

Furthermore, once the basics feel natural, a few refinements will make your searches dramatically more effective:

Narrow by file type. Looking for a photo? Filter to images. Hunting a contract? Limit results to PDF files. Fewer irrelevant results, faster answers.

Combine description with detail. "Invoice" plus the supplier's name plus the approximate month is far more powerful than any single term.

Use quotation marks for exact phrases when you remember a distinctive phrase from inside the document.

Search within a specific folder when you know roughly where the file lives — this is much faster on large indexes.

Keep your folders reasonably organized. Semantic search forgives chaos, but a tidy folder structure still helps. Agencies that specialize in AI automation workflows, such as the team behind agentic-affairs.com, often recommend starting with one well-organized folder and expanding from there — and that advice applies perfectly to building your first DigUp index.

Refresh your index after big changes. If you have just downloaded or created a batch of files, re-index before searching so the new files are included.

Next, privacy is where DigUp genuinely stands apart from most AI tools, and it is worth understanding clearly:

Everything runs on your computer. The EmbeddingGemma 2 model, the file index and the search itself all live locally. Your files are never uploaded anywhere.

No account means no tracking. With no sign-up, there is no profile to build, no usage history tied to your identity, and no subscription to cancel.

It works offline. Once the model is downloaded and your index is built, you can disconnect from the internet entirely and DigUp keeps working.

Your index is yours. The embedding data generated from your files is stored on your own disk, not on a company's servers.

As a result, this local-first design is a big deal if you work with sensitive documents — contracts, financial records, personal photos. Cloud-based AI search tools, by contrast, typically require uploading your files to third-party servers. Tools like these are covered in more depth by the team at Digital 365 Agency, who regularly write about the trade-offs between local and cloud AI tools — worth a read if you are deciding how much of your workflow should stay on your own machine.

Still, one honest caveat: "local" still means the app needs permission to read your files, so only grant access to folders you are comfortable with it indexing.

Of course, most DigUp issues fall into a handful of familiar categories. Work through this checklist before assuming anything is broken:

"It didn't find my file." The most common cause: the file is in a folder you have not indexed yet, or you indexed before the file was created. Check your indexed folders and refresh the index.

Search results look incomplete. Your first index may still be building. Wait for the progress indicator to finish, then search again.

The model download is stuck. Check your internet connection and available disk space, then restart the app — it should resume or restart the download cleanly.

The app won't start after installing. On Windows, try running it as administrator once. On macOS, check the right-click Open workaround from Step 2. On Linux, confirm the file is executable.

macOS permission errors. Open System Settings, go to Privacy and Security, and make sure DigUp has Files and Folders (or Full Disk Access) permission for the locations you want indexed.

Weird or irrelevant results. Rephrase your query with more distinctive details, as described in Step 5. Semantic search is powerful, but vague queries like "document" will always return vague results.

Everything feels slow. Indexing is the heavy lifting — searching itself should feel instant. If searches are slow, your index may be enormous; try indexing fewer folders or excluding bulky media archives you rarely search.

Finally, if a problem persists, the project's GitHub page is the right place to look — check the issues section to see whether others have reported the same thing, since fixes and workarounds usually appear there first.

In the end, installing a tool is easy; actually using it every day is the real win. A few habits will make DigUp second nature:

Put it where you can reach it. Pin DigUp to your taskbar or dock so it is one click away whenever a file goes missing.

Search before you browse. The next time you catch yourself clicking through five folders, stop and describe the file to DigUp instead. After a week, the habit sticks.

Index new projects as you create them. Add each new project folder to DigUp when you start it, not months later when you are already lost.

Re-index on a schedule. A quick refresh every week or two keeps results accurate as your files change.

Pair it with good naming. DigUp forgives bad filenames, but clear names plus semantic search together are unbeatable — future you will be grateful.

So how does DigUp compare with the search tools already on your computer, and the popular free alternative Everything? Here is an honest side-by-side for anyone weighing up how to use DigUp AI for beginners against the tools they already have:

In short, the fair summary: Everything remains unbeatable for instant filename lookup, and Spotlight and Windows Search are fine for everyday use. DigUp's unique strength is the one thing the others cannot do — finding a file when you remember what is inside it but not what it is called. Many people end up using DigUp alongside their existing tool rather than replacing it.

Indeed, yes — completely. There is no trial period, no premium tier and no locked features. It is open-source software released under the Apache 2.0 license, which means it is free to use for personal and commercial purposes. You will never be asked for payment details or an email address — learning how to use DigUp AI for beginners costs nothing at all.

Yes. DigUp runs fully locally on your computer: the AI model, your file index and every search all happen on your own machine. No account is required, nothing is uploaded, and it even works offline once set up — which is exactly why learning how to use DigUp AI for beginners is so straightforward. Just make sure you only index folders you are comfortable granting the app access to.

macOS, Windows and Linux are all supported, with dedicated builds for each. If you switch computers or operating systems, you can take the same workflow with you.

First, the app itself is small, but the first launch downloads the EmbeddingGemma 2 AI model — about 865MB. It is a one-time download; afterwards everything runs locally and offline. Make sure you have a stable connection and a couple of gigabytes of free disk space.

In most cases, one of three reasons explains it: the file sits in a folder you have not indexed yet, it was added after your last index refresh, or your first index was still building when you searched. Check your indexed folders, refresh the index, and try describing the file with more distinctive details. Still stuck? Revisit the troubleshooting steps in the "how to use DigUp AI for beginners" guide above.

Thankfully, no coding or IT experience is required. If you can install an app and type a sentence, you already know how to use DigUp AI for beginners — the whole point of the tool is that it understands plain, everyday descriptions.

Finally, once you are comfortable with the basics, these three habits will take your how to use DigUp AI for beginners skills from good to great:

Describe scenes, not keywords. For example: "Screenshot of the error message from Tuesday" beats "error". The embedding model understands context.

Index in small batches. Point DigUp at one folder at a time and test a few searches before adding the next — you will spot indexing gaps faster.

Combine description with exact terms. "Invoice from March, number INV-2026" uses both brains of the hybrid search at once.

For anyone learning how to use DigUp AI for beginners, DigUp AI solves one of the most universal computer frustrations — knowing a file exists but not being able to find it — with an approach that finally matches how human memory works. You remember meanings, not filenames, and now your search tool does too.

Admittedly, the setup asks for a little patience: one 865MB download and one initial indexing session. In return you get a free, open-source, private search assistant that works across Mac, Windows and Linux, understands over 100 languages, and never sends your data anywhere. For anyone whose digital life has outgrown folders and filenames, that is an excellent trade.

To finish this how to use DigUp AI for beginners guide: download it from the official DigUp release page, index a single folder today, and try describing a file you could never quite locate before. Chances are, this is the last "where did I save that?" moment you will have for a while.

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