Send an audio file, get back an authenticity verdict plus per-engine risk scores. 3000+ forensic engines run in parallel, fused into a single calibrated score. Python / Node / Go SDKs available.
# Python SDK example from oravys import Client client = Client(api_key="sk_...") result = client.audio.analyze(file="call_recording.wav") print(result.is_authentic) # True / False print(result.confidence) # 0.0 .. 1.0 print(result.top_engines) # list of contributing detectors
# cURL one-liner curl -X POST https://app.oravys.com/api/sdk/analyze \ -H "X-API-Key: sk_..." \ -F "audio=@call.wav"
Streaming response, keep-alive bytes for long files. Sub-3s p99 even at 5-min audio.
Multi-engine ensemble: DSP + SSL + LLM judges. Disagreement-aware fusion.
Python, Node, Go. Postman collection. OpenAPI 3.1 spec. SDK error contracts.
1 free analysis (lifetime). Then $9.90/scan or subscribe: Core $19/mo (15), Advanced $99/mo (100), Elite $249/mo (500).
Watermark your own voice recordings before publishing them. The mark is imperceptible to humans but survives compression and is verifiable by any ORAVYS detector.
pip install voicesign
MIT-licensed Python library. Drop-in, no API key required for client-side watermarking. Verification still hits our API.