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Swallow Incubate opens liveness detection API to developers worldwide

Oct. 15, 2026
Swallow Incubate opens liveness detection API to developers worldwide
By AI, Created 13:00 UTC, Oct 15, 2026, AGP -

Swallow Incubate has launched its liveness detection REST API globally with a free tier, letting developers check whether a face image shows a live person or a spoof attempt in a single call. The cloud service is aimed at face recognition and eKYC systems, with self-serve signup, Tokyo hosting, and plans starting at $180 a month.

Why it matters: - Face recognition and online identity checks are vulnerable to simple photo-based spoofing attacks. - Swallow Incubate is now offering the same anti-spoofing technology used in production in Japan as a cloud API for developers worldwide. - The launch lowers the barrier to adding liveness checks because teams do not need to install a client library or manage per-OS binaries.

What happened: - Swallow Incubate Co., Ltd. launched its Liveness Detection API with the latest generation of its anti-spoofing model. - The service is open to developers worldwide and includes a free tier. - The API takes a single still image and returns a verdict on whether the face belongs to a live person or a presentation attack. - The release date is October 15, 2026.

The details: - Developers send a Base64-encoded JPEG or PNG image up to 10 MB to POST /v1/check/liveness. - The JSON response includes a real-or-spoof verdict, a spoofing likelihood score from 0.0 to 1.0, face brightness, and detected face position. - The service is operated with a target response time of 500 ms or less per request. - Swallow Incubate says the technology is already used in Japan in authentication solutions for major medical institutions, access control terminals, and time and attendance terminals. - The Free plan includes 50 calls per month for evaluation. - Paid plans start at $180 per month for 1,000 calls. - Only successful responses count toward usage. - Signup is self-service, with no sales call, quote request, or contract negotiation required. - Developers can send their first request the same day. - Plans, pricing, and sign-up are available here. - API reference, quickstart, and sample code are available here. - A demo video is available here.

Between the lines: - Swallow Incubate is positioning the product for quick adoption by teams that want liveness checks without infrastructure overhead. - The company is emphasizing generalization, or performance in unfamiliar capture environments and against new attack patterns, rather than only benchmark results. - An internal evaluation using approximately one million frames of the company's own test data found 99.9% detection accuracy at the standard decision threshold. - The company notes that the accuracy figure comes from internal testing and is not certified by a third-party accreditation body. - The service is hosted in Tokyo, Japan, and submitted images are held in memory only during processing. - Swallow Incubate says images are not persistently stored. - The service is designed with the company's obligations as a data processor under GDPR in mind. - A Data Processing Agreement is available on request. - The company is working toward ISO/IEC 27001 certification. - The service is operated with a target monthly uptime of 99.5%. - Swallow Incubate was founded in 2013 and is headquartered in Tsukuba, Japan. - The company holds patents jointly filed with Panasonic Corporation in Japan and overseas. - Its other products include blink detection, gaze detection, and iris recognition.

What's next: - Developers can start testing the API immediately through the free tier. - Swallow Incubate is continuing work toward ISO/IEC 27001 certification. - The company says release details are current as of publication and may change without notice. - More information is available on Swallow Incubate's social account.

The bottom line: - Swallow Incubate is turning a production anti-spoofing model into a self-serve cloud API, aiming to make liveness detection easier to adopt for authentication and identity workflows.

Disclaimer: This article was produced by AGP Wire with the assistance of artificial intelligence based on original source content and has been refined to improve clarity, structure, and readability. This content is provided on an “as is” basis. While care has been taken in its preparation, it may contain inaccuracies or omissions, and readers should consult the original source and independently verify key information where appropriate. This content is for informational purposes only and does not constitute legal, financial, investment, or other professional advice.

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