ZIGCAM vs DetectorOSC
Price, ratings, monetisation and update history for both apps, side by side — with what reviewers say about each.
ZIGCAM
This app transforms your iPad or iPhone into a device that transmits real-time depth and camera data using NDI. It integrates seamlessly with development environments like Unreal Engine and broadcast applications such as OBS, allowing you to utilize LiDAR depth data and ARKit information in your preferred PC applications.
- Real-time NDI data transmission
- Emulates iPad/iPhone as data source
- Utilizes LiDAR depth data
- Supports ARKit data
- Integrates with TouchDesigner and Unreal Engine
- Secure and simple operation
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ZIGCAM is an application for building virtual production prototypes and new visual production workflows. Using NDI and NDI metadata, it emulates the iPad and iPhone as devices capable of transmitting depth data and camera data in real time. Because it uses NDI, it can be used out-of-the-box with various development environments such as TouchDesigner and Unreal Engine, as well as broadcast applications such as OBS. With Tablet or Smartphone, you can use LiDAR's highly accurate depth data along with camera images in your favorite PC application. This application is also very simple and secure. This application will allow you to receive the following information to your PC or other device for as long as you want, but will stop all communication the moment you press the "Sending!" button in the application. ・Camera Data ・True Depth (Face Tracking) ・Smoothed Depth (LiDAR) ・Estimated Depth ・Various other ARKit data ZIGCAM provides real-time Face Tracking functionality using the TrueDepth API, but we do not collect, use, disclose, share, or retain any of this data.
DetectorOSC
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DetectorOSCis an application for prototyping. It's an object detection app that uses the iPhone's camera. It can detect objects in real time not only from the front and rear cameras but also from videos in your library. Information about detected objects can be instantly transmitted to external devices such as PCs through OSC communication. By utilizing the high-performance Neural Engine built into the iPhone, it achieves object detection at an incredible speed. DetectorOSCは、プロトタイピングするためのアプリケーションです。 iPhone のカメラを使った物体検出アプリです。外側・内側のカメラだけでなく、ライブラリ内の動画からも物体をリアルタイムで検出できます。 検出されたオブジェクトの情報は、OSC通信を通じてPCなどの外部デバイスへ即座に送信も可能。iPhone搭載の高性能Neural Engineを活用し、驚異的な速度で物体検出を実現します。
Screenshots
Verdict
The clearest difference is in-app purchases: DetectorOSC at none against ZIGCAM's 1. ZIGCAM's advantage is update cadence (fortnightly vs every 8 months) and iOS requirement (14.1 vs 18.0). On price, ads 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. ZIGCAM sells 1 one-off in-app purchase. DetectorOSC asks for nothing beyond the download.
ZIGCAM ships an update fortnightly, DetectorOSC every 8 months. The most recent releases landed on October 27, 2026 and October 25, 2026 respectively.
| Parameter | ZIGCAM | DetectorOSC |
|---|---|---|
| Price | Free | Free |
| Rating | 5.0 (1 ratings) — better | — |
| Positive reviews | 50.0% of reviews | — |
| Number of ratings | 1 — better | — |
| Update frequency | Fortnightly — better | Every 8 months |
| Ads | No | No |
| In-app purchases | Yes | No — better |
| Monetization | Free with in-app purchases | — |
| Devices | iPhone, iPad, iPod — better | iPhone, iPad |
| Requires iOS | 14.1 — better | 18.0 |
| Further details — not scored | ||
| Size | 3 MB | 43 MB |
| Age rating | 4+ | 4+ |
| Developer | Tech Director's Association | Shota Shiozumi |
In-app purchases
ZIGCAM
- Release All Features$7.99
DetectorOSC
No in-app purchases









