LiDARConvert 3D Data Converter vs TrackOSC
Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.
LiDARConvert 3D Data Converter
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Easily convert your 3D Mesh data and point clouds directly on your iOS device! Features: * Convert point cloud formats: LAZ, LAS, PLY, E57. * Convert mesh formats: PLY, OBJ, USDZ, FBX, STL. * Local processing: Your files stay on your device – works completely offline for privacy and convenience. * Easy sharing: Export and share your converted files. Whether you're designing for 3D printing, working on CAD projects, or just exploring the world of 3D modeling, this app provides a seamless solution for converting 3D file formats.
TrackOSC
This app transforms your iPhone into a wireless motion-tracking camera. It streams real-time pose, face, text, and animal tracking data over your local network as OSC messages. All processing is done on-device, ensuring your video never leaves your phone.
- Live tracking overlays (body, hand, face, text, animals)
- Per-detector toggles for performance
- Front/back camera support with selfie mirror
- Portrait/landscape orientation lock
- Automatic OSC receiver discovery (Bonjour)
- Hide-video mode for stage use
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TrackOSC turns your iPhone into a wireless motion-tracking camera. Point it at a person and it streams live tracking data – body poses in 2D and 3D, hand poses, face landmarks, recognised text, animals, people, barcodes, outlines, the horizon and rectangles – over your local network as OSC (Open Sound Control) messages, ready for TouchDesigner, Max/MSP, Processing, openFrameworks, Pure Data, SuperCollider, Unity, or anything else that speaks OSC. All processing happens on-device with Apple's Vision framework. No video ever leaves your phone – only numbers. WHAT IT TRACKS • 2D Body: a 17-joint skeleton in pixels • 3D Body: a 17-joint skeleton in metres – real depth from a single camera, with each joint's pixel position alongside • Hand: 21 joints per hand, up to two hands • Face: the face box, head rotation and jawline contour, and Face Landmarks: the full 76-point constellation – eyes, pupils, brows, nose, lips, jaw • Text: recognised text with its bounding box • Animal: cat and dog boxes, and Animal Pose: full 25-joint cat and dog skeletons • Human: whole-body boxes that keep counting people at distances where pose estimation gives up • Barcode: QR codes and 1D/2D barcodes with position, corners, symbology and payload • Contours: every edge outline in the frame as closed polylines • Horizon: the horizon's angle and a line across the frame • Rectangles: screens, paper, doors – a box plus four corners FEATURES • Live tracking overlays on the camera view, colour-coded per detector • One chip per detector – run just what you need for the best frame rate; 3D Body runs in its own lane so it never slows the others • Front or back camera, with a natural selfie mirror (wire data is never mirrored) • Portrait and landscape, with an orientation lock for phones mounted on tripods and rigs • Automatic discovery of receivers on your network via Bonjour – or type any IP and port • Hide-video mode: tracking overlay only, on black – for stage and installation use • Free, notarised macOS companions – a Receiver with 2D and 3D views, a Recorder that records and replays the stream, a Speaker that reads it aloud, and a Router that turns it into MIDI, Shortcuts, key presses and HTTP – plus open-source receiver examples for Processing, Python, p5.js, TouchDesigner, Max/MSP, Pure Data, openFrameworks and SuperCollider, all from the project page COMPATIBILITY TrackOSC speaks exactly the same OSC wire format as VisionOSC and PoseOSC, so existing receivers and patches work unchanged. The newer detectors arrive as additional messages that older receivers simply ignore. Coordinates are in pixels, origin top-left, with the frame dimensions in every message. PRIVACY No accounts, no analytics, no ads. Camera frames are analysed on the device and discarded; tracking data is sent only to the destination you choose. TrackOSC is open source: https://github.com/JGL/TrackOSC
Screenshots
Verdict
The clearest difference is update cadence: LiDARConvert 3D Data Converter at every 5 days against TrackOSC's fortnightly. LiDARConvert 3D Data Converter also leads on iOS requirement (15.6 vs 18.0). On price, ads, in-app purchases and device support there is nothing between them.
Scored on Price · Rating · Positive reviews · Number of ratings · Update frequency · Ads · In-app purchases · Monetization · Best chart rank · Devices · Requires iOS
Both are free to download. Neither carries in-app purchases, so what you see is what you pay.
LiDARConvert 3D Data Converter ships an update every 5 days, TrackOSC fortnightly. The most recent releases landed on October 30, 2026 and October 31, 2026 respectively.
| Parameter | LiDARConvert 3D Data Converter | TrackOSC |
|---|---|---|
| Price | Free | Free |
| Rating | — | 5.0 (2 ratings) — better |
| Positive reviews | — | 100.0% of reviews |
| Number of ratings | — | 2 — better |
| Update frequency | Every 5 days — better | Fortnightly |
| Ads | No | No |
| In-app purchases | No | No |
| Monetization | — | Free |
| Devices | iPhone, iPod — better | iPhone |
| Requires iOS | 15.6 — better | 18.0 |
| Further details — not scored | ||
| Size | 12 MB | 4 MB |
| Age rating | 4+ | 4+ |
| Developer | Knoet Studio | Joel Lewis |
In-app purchases
LiDARConvert 3D Data Converter
No in-app purchases
TrackOSC
No in-app purchases
Questions
Is LiDARConvert 3D Data Converter free?
Is TrackOSC free?
Do LiDARConvert 3D Data Converter or TrackOSC have ads?
Which is updated more often, LiDARConvert 3D Data Converter or TrackOSC?
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