facesearching and Trueface both work with facial recognition technology, but they occupy very different positions in the market. facesearching is a consumer-facing reverse face search engine that lets anyone upload a photo and find where that face appears across the public web. Trueface is an enterprise-focused face recognition platform that offers both cloud and on-premise deployment options for developers building access control, identity verification, and surveillance systems. Comparing them is less about declaring a winner and more about understanding which tool matches your use case — whether you need to find a stranger online or build a biometric access system for a building. For another enterprise-focused comparison, see our facesearching vs Cognitec comparison.
Platform Overviews
facesearching is built for end users who want immediate answers from the internet. You upload a single photo and receive a ranked list of matches with clickable links to social media profiles, news articles, blog posts, and video thumbnails. The entire experience happens in a browser with no code, no setup, and no infrastructure. Trueface, by contrast, provides computer vision SDKs and APIs that developers integrate into their own applications. It specializes in face detection, face recognition, age and gender estimation, and object detection, with a strong emphasis on deployment flexibility — including the ability to run entirely on-premise without sending data to the cloud. Trueface is commonly used in physical security, access control, and enterprise identity verification scenarios where data sovereignty and latency matter.
Feature Comparison
The two platforms differ significantly in their capabilities and target use cases. The table below summarizes the key differences.
| Feature | facesearching | Trueface |
|---|---|---|
| Primary purpose | Reverse face search across the public web | Enterprise face recognition SDK and API |
| Built-in web index | Yes, pre-built index of public web content | No, you build your own face collection |
| Deployment model | Cloud-only, browser-based | Cloud API and on-premise SDK |
| On-premise option | No | Yes, full local deployment supported |
| Face detection | Yes, automatic | Yes, with bounding box and landmarks |
| Face comparison (1:1) | Yes, as part of search | Yes, dedicated comparison |
| Face search (1:N) | Yes, against public web index | Yes, against your own collection |
| Age and gender estimation | No | Yes |
| Object detection | No | Yes |
| No-code web interface | Yes, browser-based | No, requires developer integration |
| Data sovereignty | Photos deleted after search | Full control with on-premise deployment |
| Pricing model | Pay-as-you-go from $2 per search | Subscription and license-based |
Pricing Models
facesearching uses simple, transparent, pay-as-you-go pricing aimed at consumers and small businesses: a $2 single search, a $29 Starter plan, and a $79 Pro plan. You pay only for what you use, with no subscription lock-in and no long-term commitment. Trueface operates on an enterprise pricing model that typically involves subscription tiers or licensing fees based on deployment scale, number of cameras or devices, and whether you choose cloud or on-premise deployment. Exact pricing is usually quoted based on project requirements, which means you need to engage with their sales team to get a number. For individual, one-off searches, facesearching is dramatically simpler and cheaper. For an enterprise deploying face recognition across hundreds of access points, Trueface's licensing model may be more appropriate. For another enterprise pricing comparison, see our facesearching vs Kairos comparison.
On-Premise vs Cloud Deployment
This is one of the most significant differences between the two platforms. facesearching is a cloud-only service: you upload a photo through a browser, the search runs on facesearching's servers, and results are returned to you. Your photo is deleted immediately after the search. This model is ideal for consumer use cases where convenience and speed matter more than infrastructure control. Trueface, by contrast, offers a genuine on-premise deployment option. Its SDK can run entirely on your own hardware — servers, edge devices, or even embedded systems — with no data ever leaving your network. This is critical for organizations with strict data sovereignty requirements, such as government agencies, defense contractors, and healthcare providers operating under HIPAA. Trueface also offers a cloud API for teams that prefer a managed service. The ability to choose between cloud and on-premise gives Trueface an advantage in regulated industries where cloud-only solutions are not acceptable.
Privacy Practices
Both platforms take privacy seriously, but their approaches reflect their different architectures. facesearching's privacy model is built around immediacy and transience: uploaded photos are deleted immediately after each search, and the service does not retain facial templates or build a persistent database of user uploads. This is designed for individual users who want assurance that their search activity leaves no trace. Trueface's privacy model is built around control: with on-premise deployment, all data stays within your own infrastructure, and you decide how long to retain it, who can access it, and how it is secured. Trueface also provides guidance on responsible use and compliance with biometric privacy laws. For organizations that need to process biometric data in jurisdictions with strict retention requirements, Trueface's on-premise model offers a level of control that cloud-only services cannot match.
Accuracy and Performance
facesearching's accuracy is optimized for finding publicly available photos of a person across the web. Its strength lies in the breadth and freshness of its web index, which covers over a hundred social platforms, news sites, and video services. The system is tuned to return relevant matches with clickable context, making it easy for users to assess results. Trueface's accuracy is optimized for controlled environments: access control checkpoints, surveillance camera feeds, and identity verification stations where lighting, angle, and distance can be managed. It provides confidence scores and supports threshold tuning, allowing developers to balance false positives against false negatives for their specific use case. Trueface also performs well in edge cases like masked faces and partial occlusions, which are common in physical security scenarios. The two platforms are accurate in very different contexts — facesearching excels at web-scale discovery, while Trueface excels at controlled-environment recognition.
facesearching finds people on the public web from a single photo. Trueface recognizes people in controlled environments with full data sovereignty. One is a discovery engine; the other is a recognition system.
Pros and Cons
facesearching strengths and limitations:
- Ready to use instantly with no code or setup
- Pre-built index of social media, news, blogs, and video
- Pay-as-you-go pricing from $2 with no subscription
- Photos deleted immediately after each search
- No on-premise or offline deployment option
- Not designed for access control or surveillance use cases
Trueface strengths and limitations:
- Full on-premise deployment for data sovereignty
- Strong performance in controlled-environment recognition
- Supports access control, surveillance, and identity verification
- Tunable confidence thresholds for precision control
- Requires developer integration and infrastructure management
- No built-in public web index for reverse face search
- Enterprise pricing requires sales engagement
Which Should You Choose?
The choice depends entirely on your use case. If you are an individual who needs to find where a face appears online — verifying a dating match, investigating a suspicious photo, or checking if your own images are being misused — facesearching is the clear fit. It works in seconds, needs no technical skill, and searches a pre-built web index. If you are an organization building a biometric access control system, a surveillance platform, or an identity verification pipeline where data must stay on your own servers, Trueface provides the SDKs and deployment flexibility you need. Some security teams even use both: Trueface for their on-premise recognition system and facesearching for ad-hoc web investigations that extend beyond their internal database. For another biometric platform comparison, read our facesearching vs BioID comparison. Ready to try a web-scale face search? Start a free search on facesearching now.