Freedom251 › Motion Capture Software
FreeMoCap

What FreeMoCap is
FreeMoCap is free, open-source software for recording and reconstructing full-body movement as 3D motion-capture data. It can use two or more standard webcams, GoPros, or smartphones as cameras. A printed ChArUco board synchronizes camera feeds and establishes the 3D coordinate system. Users can record video offline on mobile devices and import it later for processing. Results can be exported in formats including CSV, FBX, and .blend files, and a Blender add-on loads processed recordings as a rigged skeleton. Processing happens locally; the homepage says video data stays on the user's machine. A backend server download supports headless machines, remote capture rigs, and API use. The download page identifies the current release as alpha and asks users for feedback through Discord. Optional anonymous usage pings may include an IP address, timestamp, and camera information, and can be disabled in the GUI. The project describes its audience as researchers, animators, athletes, and creators. Questions and help go through Discord, while bug reports and feature requests are directed to GitHub.
Who it suits
FreeMoCap suits researchers, animators, athletes, and creators who need to capture and reconstruct full-body 3D movement. It can also fit workflows using mobile-recorded video, Blender, or headless capture rigs.
What it does well
- Uses two or more webcams, GoPros, or smartphones.
- Processes video locally.
- Exports include CSV, FBX, and .blend.
- Blender add-on loads recordings as a rigged skeleton.
- Free and open source under AGPL-3.0.
What to know first
- The current release is in alpha.
- Optional usage pings can include IP and camera information.
- RTMPose does not have working Blender export.
Plans
| Plan | Billed and limits | Price |
|---|---|---|
| Free | No subscriptions · no licenses · no hidden fees | Free |
| FreeMoCap | Free forever; no subscriptions, licenses, or hidden fees · Markerless motion capture · local processing · desktop installers · AGPL-3.0 | Free |
As freemocap.org lists them, read 30 Sept 2026. The maker's own page has the final word.
Getting started
- Visit the FreeMoCap website.
- Download the software for Windows, macOS, or Linux, or use the backend server download for headless or API use.
- Set up two or more supported cameras and a printed ChArUco board for calibration.
- Record footage, or import video recorded offline on a mobile device.
- Process the recording and export results, or load them into Blender with the add-on.
FreeMoCap is free, open-source software for reconstructing full-body 3D movement from video. It is best suited to researchers, animators, athletes, and creators who want to process motion locally and work with ordinary cameras. Its capture and export options make it a flexible starting point, though alpha status calls for care in production workflows.
Overview
FreeMoCap combines video capture and 3D reconstruction, supporting two or more standard webcams, GoPros, or smartphones. A printed ChArUco board synchronizes camera feeds and establishes the 3D coordinate system, so the setup is flexible but still requires a calibration step. Users can also record video offline on mobile devices and import it later, a useful option when capture and processing need to happen separately.
Processing takes place on the user's machine, keeping video local. Optional anonymous usage pings may include an IP address, timestamp, and camera information; users can disable them in the GUI. The project says collected data is not sold or distributed to third parties except as required by law, and is protected with industry-standard security measures.
Key features
- Motion tracking: Body, face, and hand tracking, cleanup tools, and real-time output support several stages of motion work.
- Capture flexibility: Webcam, GoPro, and smartphone support, alongside offline mobile recording, lets users source footage in different ways.
- Usable exports: CSV, FBX, and .blend files, among other formats, give users routes to analysis and further creative work.
- Blender integration: The FreeMoCap add-on loads processed recordings into Blender as a rigged skeleton. RTMPose is a notable exception: it produces 3D data, but Blender export is not working for that method.
- Headless and API workflows: A backend server download supports headless machines, remote capture rigs, and API use, which makes the software relevant beyond desktop capture.
- Open-source license: FreeMoCap is licensed under AGPL-3.0, a useful fit for users seeking open-source software.
Pricing
Free — free. The plan has no subscriptions, licenses, or hidden fees. It includes body, face, and hand tracking, cleanup tools, and real-time output. With no paid software tier to move up to, the main trade-off is not a plan cap but the alpha release status and the need to account for workflow limitations such as RTMPose's Blender-export gap.
For questions and help, the project points users to Discord; GitHub is the channel for bug reports and feature requests. Paid setup, support, training, and custom work are also offered.
Platforms
FreeMoCap supports Windows, macOS, Linux, API use, and self-hosted deployment. The backend server download is particularly relevant for remote rigs or machines without a graphical interface.
Who it's for
Researchers who need full-body 3D movement data, animators who want to bring a rigged skeleton into Blender, and athletes or creators looking for a no-fee capture workflow are the clearest fits. The local processing and support for common cameras suit users who prefer to keep video on their own machine. It is a less comfortable choice for production work that depends on a stable release or on Blender export from RTMPose.
Pros and cons
- Pros: Free use without subscription or license fees keeps the cost barrier low.
- Pros: Multiple everyday camera types and offline mobile imports support varied capture setups.
- Pros: Local processing, several export formats, and a Blender add-on support privacy-conscious workflows and downstream use.
- Cons: The current release is alpha, so users should weigh that status before relying on it for production.
- Cons: RTMPose does not currently export to Blender, limiting that route for users whose workflow depends on the add-on.
- Cons: Calibration requires a printed ChArUco board, adding a setup task before capture.
Alternatives
For another free motion-capture option, consider XR Animator or Open Mocap; Open Mocap is a free open-source Blender add-on compatible with Blender 4.0.0 and earlier. If you prefer a free tier with explicit footage or credit limits, Mocai, Move AI, mimem.ai, Move One, PINOC, and Rokoko Create are alternatives. Browse the AI Motion Capture Software, Game Motion Capture Software, and Motion Capture Software lists for more options.
Verdict
Choose FreeMoCap if you want a no-fee, open-source way to reconstruct movement from everyday cameras, keep video processing local, and carry results into other tools. Its breadth of capture and export options is compelling for research and creative workflows. Look elsewhere if an alpha release or the RTMPose-to-Blender limitation would disrupt work that needs a dependable production pipeline.
Verdict
FreeMoCap offers local processing, multiple camera options, and exports for further use, including a Blender add-on. Its alpha status and the RTMPose Blender-export limitation are worth considering before settling on a workflow.
Questions
How much does FreeMoCap cost?
The Free plan costs nothing. The pricing note says there are no subscriptions, licenses, or hidden fees.
Which platforms does FreeMoCap support?
It supports Windows, macOS, and Linux. A backend server download is also provided for headless machines, remote capture rigs, and API use.
Is FreeMoCap open source?
Yes. The download page identifies it as open source under the AGPL-3.0 license.
What cameras can I use?
FreeMoCap supports two or more standard webcams, GoPros, or smartphones. A printed ChArUco board is used to synchronize feeds and define the 3D coordinate system.
Can FreeMoCap recordings be used in Blender?
The FreeMoCap Blender add-on loads processed recordings into Blender as a rigged skeleton. RTMPose currently produces 3D data but does not have working Blender export.
Where can I get help?
The project directs questions and help to Discord, and bug reports and feature requests to GitHub. It also offers paid setup, support, training, and custom work.
Facts from FreeMoCap's own pages
- API
- A local REST API exposes camera detection, recording, playback, calibration, mocap processing, realtime pipelines and Blender operations. · docs.freemocap.org, 15 Oct 2026
- Architecture
- FreeMoCap uses a React and TypeScript Electron frontend communicating with a Python backend over REST and WebSocket. · docs.freemocap.org, 15 Oct 2026
- Audience
- The project says it is built for researchers, animators, athletes, and creators worldwide. · freemocap.org, 30 Sept 2026
- Blender integration
- The application can install its Blender add-on, detect Blender, export recordings to .blend files and open them in Blender. · docs.freemocap.org, 15 Oct 2026
- Calibration
- A printed ChArUco board is waved through the camera views to synchronize feeds and establish the 3D coordinate system. · freemocap.org, 15 Oct 2026
- Camera inputs
- The official workflow supports two or more standard webcams, GoPros, smartphones used as cameras, and imported mobile video. · freemocap.org, 15 Oct 2026
- Camera support
- It supports two or more standard webcams, GoPros, or smartphones as cameras. · freemocap.org, 30 Sept 2026
- Company facts
- LinkedIn lists FreeMoCap Foundation as a nonprofit software-development organization founded in 2021, headquartered in Boston, Massachusetts, with 2–10 employees. · linkedin.com, 15 Oct 2026
- Company legal status
- The project is managed by the FreeMoCap Foundation, a Massachusetts 501(c)(3) nonprofit corporation. · freemocap.org, 15 Oct 2026
- Current release
- The latest listed release is v2.0.0-alpha.25, published 24 September 2026, with CPU startup, Linux server, Blender export and hand-detection fixes. · github.com, 15 Oct 2026
- Data protection
- The privacy policy says collected data is not sold or distributed to third parties except as required by law and is protected with industry-standard security measures. · docs.freemocap.org, 30 Sept 2026
- Documentation
- Documentation covers installation, camera setup, architecture, API endpoints, development builds and troubleshooting, but the API pages are marked AI-generated and may contain inaccuracies. · docs.freemocap.org, 15 Oct 2026
- Export formats
- Results include CSV, FBX, and .blend files, among other formats. · freemocap.org, 30 Sept 2026
- Funding model
- The project says it is funded through external grants and donations, while labor-intensive setup, support, training and custom work are paid services. · docs.freemocap.org, 15 Oct 2026
- Headless use
- A backend server download is provided for headless machines, remote capture rigs, and API use. · freemocap.org, 30 Sept 2026
- Independent listing
- AlternativeTo lists FreeMoCap as free, open source under AGPL-3.0, supporting Linux, Windows, Mac and Python, with no comments or reviews on that listing. · alternativeto.net, 15 Oct 2026
- Licence
- The project is licensed under GNU Affero General Public License version 3 (AGPL-3.0). · docs.freemocap.org, 15 Oct 2026
- License
- The download page identifies FreeMoCap as open source licensed under AGPL-3.0. · freemocap.org, 30 Sept 2026
- Limit: alpha quality
- Release notes warn that the alpha may have rough edges, missing functionality and data-affecting bugs. · github.com, 15 Oct 2026
- Limit: calibration burden
- A peer-reviewed gait study reports that ChArUco calibration takes operator training, about 1–2 minutes of board movement and 5–10 minutes of processing, with repeats if convergence fails. · journals.plos.org, 15 Oct 2026
- Limit: maturity and adoption
- An independent technical review describes the project as alpha software and unsuitable for users needing a stable production pipeline or permissive closed-source distribution. · hysenlabs.com, 15 Oct 2026
- Limit: scale accuracy
- The current release notes warn that reconstructed skeleton scale may be wrong by roughly 10 percent. · github.com, 15 Oct 2026
- Offline import
- Users can record video offline on mobile devices and import the files for processing later. · freemocap.org, 30 Sept 2026
- Offline use
- After MediaPipe and RTMPose models are downloaded, the application is documented to run offline without login. · docs.freemocap.org, 15 Oct 2026
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