Brickit

Use ML to detect what can be built from your pile of legos

3.0•2 reviews•

40 followers

Use ML to detect what can be built from your pile of legos

3.0•2 reviews•

40 followers

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Toys

Brickit helps to build new creations from your Lego bricks: 1. Scan your pile of bricks 2. Brickit will show you what you can build with them 3. Assemble ideas with the help of instructions 4. Find bricks by looking at their location in the pile

The Best Brickit Alternatives

The best Brickit alternatives are Pileometer, Google Lens, Campedia, FieldDay, and TapScanner.

Pileometer

Choose Pileometer if...

✓you want editable scans when recognition is wrong
✓you prefer batch scanning for higher accuracy
✓you’re building a long-term digital brick inventory

See details ↓

Google Lens

4.8 ·

Choose Google Lens if...

✓you want quick visual search beyond LEGO bricks
✓you need OCR and translation in one app
✓you want fast product and plant identification

See details ↓

Campedia

5.0 ·

Choose Campedia if...

✓you want to ask questions about an image
✓you need multilingual camera-based answers
✓you want recipes and explanations from photos

See details ↓

FieldDay

5.0 ·

Choose FieldDay if...

✓you need a custom vision model for your items
✓you want to train iteratively from your phone
✓you need automations via shortcuts and integrations

See details ↓

TapScanner

Choose TapScanner if...

✓you want document scanning plus AI recognition
✓you need OCR to turn paper into text
✓you want one app for many scan tasks

See details ↓

What to Consider

Brickit stands out for using on-device computer vision to scan a LEGO pile, suggest builds you can actually make with what you have, and even point out where specific pieces are in the photo. But the broader alternatives landscape isn’t just “more LEGO scanners”—it ranges from brick-inventory-first apps that emphasize repeatable cataloging and manual corrections, to general visual-search tools that trade LEGO-specific workflows for flexibility, and even camera-based AI that answers questions about what it sees. Some options prioritize tight, purpose-built flows and higher confidence results, while others focus on being an all-in-one scanner/identifier you can use for many everyday tasks.

In evaluating alternatives, the focus was on recognition reliability, how well each product handles real-world constraints (messy inputs, similar-looking items), speed and workflow friction, and whether there are fallback tools when the AI is wrong (editing, broader search, or custom training). We also weighed practicality factors like portability and setup requirements, plus signals from user feedback around consistency and trustworthiness in day-to-day use.

Pileometer

The Ultimate App for Bricks Management

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Pileometer is built around a more deliberate “inventory-first” workflow than Brickit, which can be a better fit if you care about repeatability and correction over one-off pile scans. It encourages you to spread bricks in a single layer and avoid overlap so recognition is quite accurate, reducing the frustration of suggestions that don’t match what’s actually in front of you.

A standout difference is that you can edit the scan results when the model misses or mislabels parts. That manual override is valuable when accuracy is the bottleneck, because it turns scanning into something you can “fix forward” instead of restarting or abandoning a build.

Pileometer also nudges you toward scanning in small batches of 150–200 pieces and saving each batch as a mini-archive (even down to zip-bag organization). Once you have that digital archive, the app can surface build ideas from your collection, and it’s proven workable for big projects—its maker describes completing a 1,500-piece creation with it.

The trade-off is that this approach asks more upfront effort than Brickit’s “dump a pile and scan,” but it can pay off with a cleaner catalog and more dependable outcomes over time.

Best for

Best for LEGO hobbyists who want a correctable, long-term parts archive and are willing to scan in batches.

Standout features

✓Batch scanning workflow for higher accuracy
✓Editable recognition results after scanning
✓Digital archive of parts by scans
✓Build ideas based on your inventory

Google Lens

Search what you see

4.8 · 7 reviews

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Google Lens is the “visual search Swiss army knife” option when Brickit feels too narrow or too fragile for your needs. Instead of optimizing for LEGO build suggestions, Lens focuses on quickly identifying what you’re looking at—objects, products, plants, and text—so it’s useful even when your task has nothing to do with bricks.

Where it really differentiates is breadth: it can identify objects, translate text, and find anything with just a snap. If your main pain with Brickit is getting stuck in an app-specific workflow, Lens gives you a general-purpose escape hatch: point, search, and follow results.

The trade-off is consistency for lookalike items. People note it’s useful, but not always accurate, and that it can guess the wrong product or plant—especially when matches are visually similar. So it’s best as a fast way to narrow possibilities, not a tool you’d trust 100% for precise part-level identification.

For builders, it can still complement Brickit: use Brickit when you want instructions and piece-locating, and Lens when you just need a quick ID or to search the web for a match.

Best for

Ideal for anyone who wants a fast, general visual search tool for objects, text, and translation.

Standout features

✓Object and product visual search
✓Live text translation
✓OCR with copy from images
✓Contextual actions from detected text

Campedia

AI Camera that answers any question

5.0 · 1 review

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Campedia leans into a different idea than Brickit: instead of mapping items to a predefined catalog and build plans, it’s an AI camera you can interrogate. It shines when you want to ask “what am I looking at, and what can I do with it?” rather than “what can I build from this pile?”

Its strongest differentiator is contextual Q&A. Beyond recognizing common categories like plants and animals, it becomes more useful when you ask image-grounded questions such as “Who is the person in this painting” or “Create me a recipe from these ingredients”. That’s a broader, more conversational workflow than Brickit’s step-by-step building path.

Campedia is also built for multilingual use, with support for English, German, French, Italian, Spanish, Japanese, Korean, Portuguese, and Chinese. If Brickit’s value is mostly in LEGO-specific structure, Campedia’s value is flexibility—especially for households or classrooms where the “thing you want to identify” changes every day.

Choose it when your priority is versatile camera intelligence and follow-up questions, not highly specialized LEGO part detection.

Best for

Best for curious users and educators who want image-based Q&A in multiple languages.

Standout features

✓Image-grounded question answering
✓Broad object recognition categories
✓Multilingual responses
✓Recipe generation from ingredient photos

FieldDay

Create custom vision AI apps, using just your phone.

5.0 · 3 reviews

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FieldDay is the pick when the real problem isn’t finding an existing scanner, but building one that understands your specific world. Unlike Brickit’s fixed LEGO-focused recognition, FieldDay lets you capture examples, iterate, and train a custom vision model for the exact classes you care about.

That custom approach is useful when off-the-shelf recognition breaks down—similar-looking items, unusual parts, or niche categories. Instead of hoping a general model gets better, you can systematically improve performance by collecting better training data and refining the model as your needs evolve.

FieldDay also fits nicely into automation-driven workflows: once your model is reliable, you can trigger actions via phone-centric integrations (like Siri Shortcuts or connected workflows), making it feel more like a personal “vision sensor” than a single-purpose app. One practical consideration is that training currently runs on cloud GPU, for now, which can matter if you’re aiming for fully offline iteration.

If Brickit is about immediate build suggestions, FieldDay is about owning the recognition problem end-to-end for whatever you’re trying to identify.

Best for

Ideal for makers and teams who need a custom vision classifier with automation hooks.

Standout features

✓Custom dataset capture and iterative training
✓Model export for integrations
✓Automation via shortcuts and connected actions
✓Flexible vision models for niche categories

TapScanner

Unlock the power of AI: scan anything instantly

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TapScanner is a better alternative to Brickit when you want one camera app that handles lots of everyday scanning jobs, not just LEGO part recognition. It combines classic document scanning and OCR with broader “scan anything” style recognition tasks, making it a general utility you’ll keep installed.

If Brickit’s value is in guiding builds, TapScanner’s value is in turning the real world into usable data—receipts into PDFs, pages into editable text, and images into quick answers. That’s especially helpful for students, home admin, and lightweight business workflows where the most common task is simply getting information off paper and into an app.

It’s also positioned around reducing friction: the team emphasizes keeping it simple and powerful, which aligns with people who want fast results rather than a specialized, multi-step hobby workflow. The trade-off is that it won’t give you LEGO-specific features like piece heatmaps or build instructions, but it covers many more use cases in return.

Choose TapScanner when your priority is versatility and OCR-driven scanning over a LEGO-first experience.