Photogrammetry vs LiDAR: How to Choose the Best 3D Scanning Method

Choosing the right 3D scanning method can make or break a project. Pick wrong, and you might end up with slow processing, incomplete data, or the wrong tool for your environment.

There are two primary ways to build 3D models—LiDAR and photogrammetry.

LiDAR uses laser pulses to map depth with precision, which is great for large or complex spaces, especially outdoors. Photogrammetry stitches together overlapping images to build 3D models, making it more accessible and cost-effective for smaller, well-lit environments.

Cost and project complexity used to drive the LiDAR vs. photogrammetry conversation. But LiDAR has become more accessible in recent years, even showing up in smartphones. And photogrammetry tools have also improved, offering greater accuracy and deeper automation.

Understanding how each scanning method captures and processes data helps you pick the right fit, so you can create the most accurate digital twins without wasted time or budget.

Key differences between LiDAR and photogrammetry

LiDAR and photogrammetry both serve the same end goal: creating accurate 3D models of real-world spaces. But they take very different paths to get there—and those differences have real implications for how you capture, process, and use spatial data.

The right choice depends on the demands of your environment, your desired level of detail, and the resources at your disposal. Below, we break down the most important differences to help you choose the best method for your project.

LiDAR vs. photogrammetry summary

Data capture process

• LiDAR uses laser pulses to measure the distance between the scanner and physical surfaces. These pulses bounce back to the sensor, creating millions of precise data points known as a point cloud.

• Photogrammetry captures a series of 2D images from different angles. Software then analyzes those images to calculate depth and generate a 3D model through triangulation.

LiDAR measures geometry directly. Photogrammetry infers it through visuals.

Accuracy and precision comparison

• LiDAR is generally more precise, especially in large-scale or geometrically complex environments. It excels at capturing exact measurements down to millimeters.

• Photogrammetry can be accurate, but its precision depends heavily on image quality, camera calibration, and environmental conditions.

If absolute dimensional accuracy is critical, LiDAR is the safer bet.

Equipment requirements and costs

• LiDAR typically requires specialized hardware like the Matterport Pro3 or survey-grade laser scanners. These tools are more expensive but deliver faster, higher-fidelity results. LiDAR is available through the Matterport Capture App, but for simpler use cases than a more specialized camera.

• Photogrammetry can be done with a DSLR, drone, or even a smartphone, making it a more affordable entry point.

Photogrammetry wins on cost and accessibility. LiDAR leads on capability and range.

Lighting and environmental considerations

• LiDAR doesn’t rely on ambient light, making it effective in low-light, dark, or outdoor conditions.

• Photogrammetry depends entirely on lighting quality and consistency. Shadows, glare, or uneven exposure can compromise the model.

For low-light or outdoor scans, LiDAR offers more consistent results.

Color, texture, and visual fidelity

• LiDAR captures geometry first, and typically overlays imagery afterward. The result may be less photorealistic unless paired with high-quality photo data.

• Photogrammetry captures detailed color and texture from real photographs, producing highly realistic visual models.

Photogrammetry provides more natural-looking, photorealistic models. LiDAR is stronger on structural accuracy.

Speed and efficiency factors

• LiDAR captures data quickly and doesn’t require as many setup changes, especially in large or complex spaces.

• Photogrammetry may involve more time in both shooting and processing, especially for high-detail scenes.

For speed and scale, LiDAR is typically more efficient.

Skill level and learning curve

• Photogrammetry requires understanding camera settings, image overlap, and post-processing software—making it more technique-sensitive.

• LiDAR workflows are more automated, especially with user-friendly platforms that streamline scanning and model generation.

LiDAR is often easier for new users to master with consistent results.

4 most common applications and use cases

LiDAR and photogrammetry each bring distinct advantages to different industries and project types. While both can create detailed digital twins, the right fit often depends on the environment, the level of detail required, and how the resulting models will be used.

Below, we break down the four most common use cases for these 3D modeling technologies—and how Matterport’s platform supports each one by offering flexibility, precision, and seamless integration across capture methods.

1. Real estate marketing and property documentation

Real estate professionals use digital twins to give buyers and renters an immersive, on-demand look at a space. Both LiDAR and photogrammetry can deliver the polished visuals needed to drive engagement—but they each bring different strengths to the table.

• Photogrammetry excels in well-lit interiors where photorealism is the top priority. It’s especially effective for smaller residential listings.

• LiDAR is often the better choice for larger homes, mixed-use buildings, or any property that includes exterior capture or complex layouts.

With Matterport, agents can scan with either method, depending on the property, using their smartphone, a Pro2 camera, or a LiDAR-equipped Pro3 camera. The result is a shareable, high-resolution digital twin that simplifies listing prep and strengthens your marketing toolkit.

2. Architecture, engineering, and construction (AEC)

In the AEC world, spatial accuracy is everything. Project teams rely on digital twins for everything from design validation to construction tracking and remote stakeholder reviews. LiDAR’s precision is especially valuable for these workflows, but photogrammetry can also be useful for documenting visual progress or lighter-weight scans.

• LiDAR provides accurate as-built conditions and is ideal for large job sites or critical geometry.

• Photogrammetry can support pre-construction visualization, client presentations, or quick documentation of small updates.

Matterport gives AEC teams the flexibility to scan with either method while maintaining a centralized environment for organizing and sharing project data. Built-in tools like measurements, markup, and BIM file exports streamline communication and reduce rework—whether you're in the field or at your desk.

3. Facility management and industrial environments

Facility teams are increasingly turning to digital twins to maintain operational continuity, especially in large or distributed environments. With a detailed digital twin, staff can inspect spaces, manage equipment, and coordinate maintenance—without setting foot on site.

• LiDAR is particularly effective in large-scale or complex industrial spaces where accuracy and clarity are essential.

• Photogrammetry can provide fast, cost-effective scans of individual rooms, equipment zones, or visual documentation for training purposes.

Matterport supports both capture styles and makes it easy to tag equipment, link maintenance documents, and collaborate remotely. Whether you’re managing a manufacturing facility, warehouse, or office campus, having an up-to-date digital twin helps teams solve problems faster and reduces the cost of in-person site visits.

4. Outdoor mapping and drone applications

When working outdoors, lighting conditions and surface variation can complicate capture. LiDAR is better equipped to handle these challenges, especially when mounted on drones or mobile devices.

• LiDAR is preferred for capturing exteriors, topography, and large outdoor environments with precision.

• Photogrammetry may still be useful for small outdoor scenes or when texture realism is more important than depth accuracy.

Matterport’s compatibility with hardware like the Leica BLK360 makes it possible to combine indoor and outdoor data in a single scan.

That means users can create continuous digital twins that include both the building interior and its surrounding landscape—ideal for use cases like resorts, campuses, or large estates.

How to choose between LiDAR and photogrammetry

LiDAR and photogrammetry both generate detailed digital twins, but the best tool depends on your project’s size, complexity, timeline, and available resources. Rather than looking for a universal winner, think in terms of fit: which method aligns best with your current goals, environment, and team setup?

With flexible capture options that support both approaches, Matterport makes it easier to choose based on context—not compromise.

Speed vs. scale considerations

LiDAR is built for environments where speed and precision are non-negotiable. It’s particularly effective in large, complex, or multi-level spaces where setting up and capturing with a camera would take significantly longer.

• LiDAR scanners can quickly collect detailed spatial data with fewer repositioning steps, making them ideal for commercial and industrial buildings.

• Photogrammetry works well for smaller projects, but it generally involves more time capturing and stitching images—especially when lighting or layout complicate the workflow.

For fast, scalable scanning, devices like the Pro3 are purpose-built to handle demanding spaces without slowing teams down.

Collaboration and accessibility factors

Once a digital twin is created, its usefulness depends on how easily others can access it. That’s where cloud-based platforms make a difference.

• Both LiDAR and photogrammetry outputs can be processed into shareable Matterport models, which are accessible online without any special software.

• Teams can leave notes, take measurements, and track updates directly within the model—eliminating the need for fragmented tools or email chains.

Centralized access like this ensures projects keep moving, no matter how the data was captured or where collaborators are located.

ROI analysis for different team configurations

Budget and skill level also play a role in deciding which method to use. Photogrammetry has a lower barrier to entry in terms of equipment, but it takes practice to get consistent results. LiDAR requires more investment upfront, but simplifies the process for teams that need dependable output without extensive training.

• For occasional scanning or visual documentation, photogrammetry with something like the Pro2 camera is a flexible and affordable option.

• For high-volume capture, large teams, or workflows that require precision, LiDAR may provide better long-term value—especially with user-friendly devices like the Pro3.

Matterport accommodates a range of capture options—from smartphone apps to professional LiDAR scanners—giving you the flexibility to make the choice that will deliver the most ROI for your specific photography and 3D modeling needs.

Combining LiDAR and photogrammetry for maximum returns

While LiDAR and photogrammetry are often seen as either/or tools, they’re increasingly used together to get the best of both worlds. 

LiDAR provides dimensional accuracy, even in complex or low-light environments. Photogrammetry adds photorealism through high-quality image textures. Combining both allows teams to capture rich spatial data that’s both precise and visually immersive.

Matterport simplifies this integration automatically. When you scan with a device like the Pro3, the platform fuses LiDAR depth data with photogrammetric imagery in real time—producing seamless, high-fidelity digital twins without manual alignment or third-party processing.

Here are three workflow examples where blending both capture types could be useful.

• Indoor-outdoor continuity: Use LiDAR to capture large, complex interiors or exterior structures. Then use image-based capture (mobile phone or 360 camera) to fill in areas where photorealism matters most. Matterport supports both workflows in one unified model.

• Phased scanning: Start with a quick photogrammetric scan during early planning stages, then layer in LiDAR detail as the project evolves. This saves time early while still enabling high-accuracy deliverables later.

• Hybrid team roles: Some team members use mobile-based capture for marketing assets, while others use LiDAR for technical documentation or BIM outputs. All captured data flows into a single Matterport space, avoiding silos.

These hybrid workflows aren’t just theoretical—they’re already driving measurable impact. 

Resi, the UK’s leading home extension company, used Matterport’s Pro3 to streamline surveys and reduce average capture time by 25%, all while maintaining the dimensional accuracy their design work demands. And KUOP Design transitioned from hand-drawn floor plans to digital twins and doubled their documentation speed, boosting project capacity without increasing headcount.

In each case, teams saw gains in efficiency, collaboration, and data quality by blending the strengths of LiDAR and photogrammetry through a unified platform. Choosing both isn’t about redundancy—it’s about resilience, flexibility, and getting the right data for every phase of the project.

How Matterport integrates LiDAR and photogrammetry technologies

Matterport takes a hybrid approach to 3D capture—blending the strengths of LiDAR and photogrammetry to produce high-quality digital twins with minimal complexity. Instead of asking users to choose one technology over the other, Matterport’s platform is designed to unify them. The result is a more flexible, scalable solution that adapts to the environment, the operator, and the project’s end goals.

At the core of this flexibility is Matterport’s ability to support a wide range of capture devices, from high-end LiDAR scanners to everyday smartphones. That hardware diversity is paired with intelligent processing powered by Cortex AI, which enhances outputs regardless of the capture method.

Here’s how each part of the ecosystem contributes:

• Pro3 camera (LiDAR): Built for large-scale and complex environments, the Pro3 uses LiDAR to capture millions of depth points with millimeter-level precision. It performs reliably in low-light conditions, outdoors, or in spaces with reflective surfaces—making it ideal for commercial, construction, and industrial sites where accuracy is non-negotiable.

• Smartphone or Pro2 camera capture (photogrammetry-based): For smaller properties, fast turnarounds, or field teams without specialized gear, the Matterport mobile app offers a lightweight option. By applying photogrammetry principles, the app turns smartphone imagery into accurate spatial models—great for residential walkthroughs, quick documentation, or early-phase scanning.

• Cortex AI processing engine: No matter how you capture, Matterport’s Cortex AI handles the heavy lifting. It automatically aligns depth and image data, labels rooms, improves dimensional accuracy, and even generates measurement tools and property descriptions. This consistency across devices is what enables high-quality digital twins—regardless of who’s scanning or what tool they’re using.

• Third-party device integration (e.g., Leica BLK360): For specialized projects, Matterport integrates with external LiDAR hardware like the Leica BLK360. This allows teams to capture expansive outdoor environments, historic buildings, or topographic features—then combine that data with interior scans for a single, unified model.

Together, these capabilities reflect Matterport’s broader strategy: make high-quality spatial data easier to capture, faster to process, and more accessible to every team. 

From AI-driven automation to expanding hardware compatibility, Matterport continues to invest in innovation—ensuring that as capture technologies evolve, your workflows stay ahead of the curve.

Want some help deciding which capture method or combination of methods would work best for your needs? Book a demo with us and we’ll talk through the options.