CompreFace vs Sighthound AI
CompreFace
github.comSighthound AI
sighthound.comSide by side
| Figure | CompreFace | Sighthound AI |
|---|---|---|
| Price from | Free | $208.33/mo |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | Yes | — |
| Web | Yes | Yes |
| Windows | Yes | Yes |
| macOS | Yes | Yes |
| Linux | Yes | Yes |
| iOS | — | Yes |
| Android | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 2 | 4 |
| Spec score · AI Image Recognition Software | 8.9 (#2) | 8.8 (#6) |
| Spec score · Image Recognition Software | 8.9 (#2) | 8.8 (#6) |
| Deployment | It is delivered as a Docker Compose configuration and can run as a standalone server or be deployed in the cloud. | Redactor supports desktop, server, private-cloud, offline and air-gapped deployments, and customer-controlled AWS, Azure or Google Cloud environments. |
| Hardware | CompreFace supports CPU and GPU models and lists an x86 processor with AVX support among its requirements. | Sighthound Compute devices run AI locally with NVIDIA GPUs, Linux, Docker support, RTSP camera compatibility and APIs for third-party integration. |
| Rating on G2 | 4.5 out of 5 from 1 review | 0 out of 5 from 0 reviews; G2 says there are not enough reviews to provide buying insight. |
| REST API | The product exposes REST endpoints for face-analysis services and subject management. | Redactor's REST API can automate media ingestion, detection, redaction and export, with batch jobs and webhooks, but API access is limited to selected Enterprise deployments. |
| Support | The project directs users to report ideas and bugs on GitHub and offers a community chat link. | Retriever users can get installation help from its Developer Portal and Knowledge Base or contact Sighthound directly. |
| What it does | CompreFace is Exadel’s free, open-source facial-recognition server designed for integration into other systems. | Sighthound sells computer-vision products for vehicle recognition, license-plate recognition, video redaction and edge AI processing. |
Plans
Sighthound AI
- FreeFree
- Pro$2,500 a year
- Server$3,500 a year
- EnterprisePriced on request
In their own words
CompreFace
CompreFace is a free, open-source face recognition service that provides capabilities through a REST API. It supports face recognition and verification, plus face, landmark and mask detection, head pose detection, age recognition and gender recognition. The project says setup and use do not require prior machine-learning skills. It is packaged as a Docker Compose configuration and can run as a standalone server or in the cloud; listed deployment options also include hybrid use. Setup instructions cover Windows, macOS and Linux and require Docker with Docker Compose or Docker Desktop. The service supports CPU and GPU models, with an x86 processor supporting AVX among the stated requirements. A UI panel and role management let users manage roles and control access to face recognition services. The project names FaceNet and InsightFace among its underlying libraries and links JavaScript, Python and .NET SDK repositories. CompreFace is self-hosted and released under Apache 2.0. The documented quick start uses a release archive and starts the service with docker-compose up -d; the project also points users to GitHub channels and a community chat.
Sighthound AI
Sighthound AI offers computer vision products for vehicle recognition, media redaction, and edge AI hardware. Retriever reads license plates and identifies vehicle make, model, color, and generation from live camera streams or uploaded footage. It installs on customer machines through Docker Compose, runs in a browser, and works offline without a required cloud connection. Retriever does not provide vehicle owner or location information. Redactor detects and redacts video, image, and audio content, and can create searchable transcripts for keyword redaction in 8+ languages. It offers REST API access, batch jobs, webhooks, and a brandable embedded editor. Sighthound says Redactor does not send media files externally and supports local, on-premise, and private cloud deployment. The company says Redactor is built for GDPR, CCPA, FOIA, HIPAA, and other global privacy regulations. Retriever's listed use cases include parking, enforcement, law enforcement, tolls and traffic, fleets, logistics, retail, and automotive. Pricing includes a free plan, Pro at $2,500 a year, Server at $3,500 a year, and custom Enterprise pricing.