InsightFace vs SentiSight.ai
InsightFace
github.comSentiSight.ai
sentisight.aiSide by side
| Figure | InsightFace | SentiSight.ai |
|---|---|---|
| Price from | Free | — |
| Free plan | Yes | — |
| Free trial | — | Yes |
| Open source | Yes | — |
| Web | Yes | Yes |
| macOS | Yes | — |
| Linux | Yes | Yes |
| iOS | Yes | Yes |
| Android | — | Yes |
| API | Yes | Yes |
| Self-hosted | Yes | Yes |
| Plans published | 3 | 2 |
| Spec score · AI Image Recognition Software | 8.7 (#7) | 7.7 (#20) |
| Privacy | The trust page says operational customer facial images, biometric templates, and inference data are not used to train general-purpose models unless separately agreed in writing. | The privacy policy says personal-data safeguards are handled in accordance with GDPR and other applicable data protection laws. |
| Support | The open-source offering lists community support through GitHub Issues; commercial model licensing lists email support. | The site provides a FAQ, user guides, video tutorials, and a contact page for assistance. |
Plans
InsightFace
- Open SourceFree
- Enterprise & APIPriced on request
- Model LicensingPriced on request
SentiSight.ai
- Offline model licensePrice not published
- Pay-as-you-goPrice not published
In their own words
InsightFace
InsightFace provides software for face detection, recognition, alignment, and attribute analysis, with optional liveness, person analysis, video face redaction, and face swapping. PersonAnalysis detects people and faces, then matches them to registered identities using face and body references. PrivateFrame supports local video face tracking and blur or mosaic redaction through desktop, command-line, and Python workflows. Integration options include Python, a C/C++ SDK, and a self-hosted REST API. InsightFace Server runs in a Linux container and offers a web interface, REST API, and Python SDK for detection, comparison, enrollment, search, and RTSP monitoring. The Python package uses ONNX Runtime and requires Python 3.10 or newer. The code is MIT licensed, but pretrained models are limited to non-commercial research unless separately licensed for commercial use. The maker presents enterprise applications such as identity verification, access control, mobile and edge authentication, and large-scale face search. Commercial model use requires a separate license.
SentiSight.ai
SentiSight.ai is a web-based platform for labeling images and developing image-recognition applications. It supports classification, object detection, and segmentation models, with annotation tools for labels, boxes, polygons, points, polylines, and bitmaps. Smart labeling uses selected foreground and background points to extract an object from an image. Shared projects allow multiple users to label images, while project managers can track progress and time and manage roles and permissions. Image search can find images resembling an uploaded query or similar pairs within a dataset. Pre-trained models cover content moderation, goods classification, automatic hashtags, and people counting. Models can run in the web interface or through a REST API, or offline after downloading a model and setting up a local REST API server. Android and iOS apps make predictions from uploaded images or camera photos, but cannot train models or label images already uploaded. The service has a free plan and a 30-day trial. The Pay-as-you-go plan includes €5 monthly complimentary credits and €20 free credits for new users; listed usage rates include €1 / 1000 predictions, €1 / 1000 labels, and €3.6 / hour of training.