Camera-trap software compared
WildObserve™, Timelapse, AddaxAI, Wildlife Insights, and AIDE, side by side.
WildObserve™, Timelapse, and AddaxAI run on your own computer. Wildlife Insights is a cloud platform you upload images to, and AIDE is a web app you install on your own server. They differ most in where your images go, whether the AI learns your project's species, and what analysis is built in.
Every entry for another tool comes from its own website or documentation, linked under Sources. A dash (—) means its documentation doesn't say. Last checked November 12, 2026. If something here is wrong or out of date, email info@qsc.earth and we'll correct it.
| Feature | WildObserve™ | Timelapse | AddaxAI | Wildlife Insights | AIDE |
|---|---|---|---|---|---|
| What it is | Desktop app | Windows desktop app | Desktop app | Web platform in the cloud | Web app you install on your own server |
| Where your images go | They stay on your computer | Its data stays in files on your computer or a file share; no internet needed to run it | They stay on your computer; nothing is uploaded | Uploaded to the cloud (Google Cloud Platform). A project can stay private for up to 48 months; sharing publicly is encouraged | — |
| Cost | Free Community plan (non-commercial use); paid plans $399 to $5,995 a year (Plans) | Free; commercial use by arrangement with its developer | Free (some species models are for non-commercial use only) | Free for most users; government organizations and companies pay a subscription | Free (open source) |
| Runs on | Mac (Apple silicon), Windows 10 or later, Linux (Ubuntu 22.04 or later) | Windows only (on a Mac, through a Windows emulator) | Windows, Mac (Apple silicon), Linux | A web browser; uploading needs an internet connection | A Linux server (an Ubuntu installer, in beta, or Docker), used through a web browser |
| Finds animals | MegaDetector, built in | Doesn't detect animals itself; imports results from other software, such as AddaxAI | MegaDetector, built in | AI filters out blank images | No MegaDetector; general detection models, such as Faster R-CNN and RetinaNet, that you train |
| Suggests species | SpeciesNet, then your Project Model | Doesn't classify itself; imports classifications from other software, such as AddaxAI | A choice of species models: SpeciesNet, DeepFaune, and regional models | Yes, with its own AI model | — |
| Learns your project's species as you review | Yes: a Project Model trains on your computer as you label (in 3 projects on the free plan) | — | No: its documentation says checking results doesn't teach the model | — | Yes: it trains a model on your annotations and uses it to make predictions and to choose the next images to label (active learning) |
| Reviewing images | A review screen with capture events, box editing, and keyboard shortcuts | Data entry in fields you define in a template, with an overview grid for tagging many images at once | Checks and relabels results in the app; can also export them to Timelapse | Review and edit the AI's identifications | Labeling with image labels, points, bounding boxes, or segmentation masks |
| Occupancy and abundance estimates | Built in: occupancy, Royle–Nichols abundance, and site covariates, plus a list that picks which images to review for occupancy | — | Not built in; for occupancy, you export your data to R, such as camtrapR | Built-in species and community analytics; occupancy not specified | — |
| Exports | CSV, Camtrap DP, Wildlife Insights bulk upload, COCO, COCO Camera Traps, YOLO, MegaDetector results, and tables for R | CSV, Camtrap DP | CSV or TSV, XLSX, Camtrap DP, MegaDetector-format results (for Timelapse), and GIS point layers | CSV files (projects, cameras, deployments, images, and sequences) | — |
| Setting it up | An installer; no code, and no graphics card needed | A standard Windows application; no server | An installer; no code, and a graphics card is optional | Runs in a web browser | Server setup from the command line, or Docker; a graphics card is strongly recommended for training |
| Open source | No | Source on GitHub, under a non-commercial license (CC BY-NC-SA 4.0) | Yes (MIT license) | — | Yes (MIT license) |
| Several people | An account for each reviewer; projects shared across computers on the Lab and Organization plans | A shared database on a network drive, or parts checked out to each person and merged back | Work split by deployment, exported and imported between computers | Organization and project roles for teams | — |
A dash (—) means the tool's own documentation doesn't say.
Which one fits
- WildObserve™, if you want your images to stay on your computer, a Project Model that learns your project's species as you review, and occupancy and abundance estimates in the same app, on Mac, Windows, or Linux. Having a Project Model in more than 3 projects simultaneously requires a paid plan.
- Timelapse, if you work on Windows and want free, flexible data entry with fields you design, and you're happy to run detection and classification in other software, such as AddaxAI, and import the results.
- AddaxAI, if you want a free, open-source app that runs MegaDetector and a choice of regional species models on your own computer. For occupancy, you export your data to R.
- Wildlife Insights, if you want your images hosted online, with team roles, built-in analytics, and a way to share data publicly. Images are uploaded to the cloud; it's free for most users, and government organizations and companies pay a subscription.
- AIDE, if you can run a server and want an open-source, web-based labeling tool that trains a model on your annotations as you label. Its built-in models are general-purpose ones that you train, not camera-trap models such as MegaDetector.
Sources
Read on November 12, 2026.
- WildObserve™: Plans, the user guide, and the Privacy Policy.
- Timelapse: About, FAQ, installation and technical details, large organizational uses, image recognition, versions, and license.
- AddaxAI: AddaxAI, and its documentation: what AddaxAI is, FAQ, exports, and working as a team.
- Wildlife Insights: home, FAQ, pricing, about its AI, uploading data, choosing analyses, project exports, and inviting a team.
- AIDE: its GitHub repository, installation overview, license, and releases.