●Questions
Detection questions, answered
What readers ask about detection tools, answered from the notebook.
How do deepfake detection accuracy claims compare across tools?
Messy. Vendors report accuracy on different media: images here, video there, voice somewhere else, so direct comparison is hard. DeepfakeDetect collects each tool’s stated claims, the modality they cover, and independent test results where published. For anyone hunting the best deepfake detection software, that side-by-side view is the whole point.
Which deepfake detectors have an API for developers?
Most enterprise-focused tools do; plenty of consumer checkers are web-only. DeepfakeDetect flags which tools have a documented API, what the endpoints support (image, video, audio), and the API cost tiers. Developers can shortlist for their stack before signing up for anything.
Is there a deepfake video checker online?
Several offer basic tiers or limited scans, though most cap video length or monthly scan counts. DeepfakeDetect lists the deepfake checkers and spells out exactly what each basic tier includes, plus where the paywall kicks in.
What is the best deepfake image detector for journalists?
Journalists need fast single-image verdicts with explanations they can defend in print. DeepfakeDetect’s comparison shows which tools do image-only detection, which explain their verdicts, and which support bulk scanning for newsroom workflows.
How much does a deepfake detection API cost?
Entry tiers start (around 50 scans a month), then jump to roughly $399/month for 1,000 scans at vendors like Reality Defender, or about $6 per 1,000 requests at Hive. Most vendors also ship an SDK; integration effort is similar either way.
What is the best deepfake detection software in 2026?
It depends on the job. Reality Defender leads for multi-modal API screening, Hive for platform scale, Sensity AI for forensic investigations, and Pindrop for voice fraud in call centers. Compare by job, not by headline accuracy claims.
What deepfake voice detection software works for call centers?
Call centers need real-time voice analysis that flags synthetic audio during live calls. DeepfakeDetect compares tools that handle live streams versus file uploads, plus latency, language coverage, and cost per call minute where published.