DetectifAI opens its voice deepfake detector to developers
Founder Tarini Sai Padmanabhuni says the API and MCP service checks audio in 24 ms; a benchmark found 94.47% accuracy and an 8.4% false-positive rate.
By Ryan Merket · Published
Primary source: X
Why it matters
DetectifAI's reported speed may ease integration, while its benchmark flagged 8.4% of genuine clips. Developers evaluating voice-security tools need to weigh latency against false alarms and overall accuracy.
DetectifAI opened its voice deepfake detector to developers on October 19th, offering access through an API and an MCP server. Founder Tarini Sai Padmanabhuni (@tarini_axory) advertised a 24-millisecond check time and said the system caught 97.3% of cloned voices in an independent benchmark.
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