Add offline 1:1 and 1:N face matching to a Windows application through a local REST API and Python bindings. Processing stays entirely on the machine it runs on.
These are the exact minimum and recommended requirements published in the FaceRecognition-Windows repository — check the repo directly for the latest version, since SDK requirements can change between releases.
Install the SDK, then activate it with a license key before calling any recognition function — every platform follows this same activate-then-initialize pattern.
pip install -r requirements.txt, then run.bat to start the local REST API on port 8083.POST /api/activate, or by saving your key to license.txt.import sdk
machine_code = sdk.get_machine_code()
ret = sdk.activate("license.txt") # 0 = success
ret = sdk.init_sdk() # 0 = success
result = sdk.detect(base64_image, crop_image=False)
Licenses are offline and bound to the machine the SDK runs on — the offline cryptography needed to validate a license key is bundled in the SDK itself, with no external OpenSSL install required. Send FacePlugin your machine code to get a key.
No. Every stage of face recognition runs on your own server or directly on the device, depending on the platform – biometric templates never leave an environment you control.
Licenses are offline and bound to a machine code, application ID, or bundle ID depending on the platform. Contact FacePlugin with that identifier to receive a license key – there are no per-call or per-match fees once licensed.
The FaceRecognition-Windows integration is maintained publicly on GitHub at github.com/Faceplugin-ltd, where you can browse the code, file issues, and track releases.
Talk to our team to get a license key and a 15-day evaluation period started.