Caller ID can be faked
Caller ID can be faked in seconds. You can’t trust the number you see.
Optional add-on
Know who's really on the line
Speaker recognition creates unique acoustic fingerprints from how people speak — not what they say. Add it to your IdentityCall platform to recognize returning callers, build unified profiles, and detect fraud.
Analyze 5 calls freeMatch speakers across recordings
The problem
Caller ID was never meant for identity
Traditional phone systems identify devices, not people. This creates blind spots that cost businesses time, money, and security.
People use multiple phones
One person uses work phone, personal phone, landline. Your CRM sees three strangers.
Every call starts from zero
Called last week? Last month? Without manual notes, every call starts from zero.
Your voice is your identity
Every voice has unique characteristics - pitch, tone, cadence, resonance, micro-pauses. Voice biometrics analyzes these traits to create a mathematical fingerprint that identifies the speaker, regardless of what phone they’re calling from.
1
Capture
Audio from the call or upload is analyzed once it is captured. No special hardware needed - works with any phone system.
2
Extract
Our AI extracts 256 acoustic features from the voice, creating a compact embedding (a numerical fingerprint).
3
Match
The embedding is compared against enrolled profiles using vector similarity, and a match is returned with a confidence score.
Authentication
256-dimensional voice embeddings.
Match quality
Depends on enrollment, audio conditions, and the threshold you set.
Minimum audio
Works with as little as 3 seconds of speech.
Language support
Language and accent independent - analyzes how you speak, not what you say.
Use cases
Traditional phone systems identify devices, not people. This creates blind spots that cost businesses time, money, and security.
Contact centers
Recognize every returning caller
Problem
Agents don't know callers
Solution
Recognition by voice
Key benefit
Reduce handle time
Collections
Verify you're speaking to the right person
Problem
Identity verification wastes time
Solution
Passive voice verification
Key benefit
Compliance + efficiency
Fraud detection
Catch repeat offenders across identities
Problem
Same-voice detection
Solution
Same-voice detection
Key benefit
Flag repeat fraud attempts
Built for privacy by design
Voice biometrics raises a fair question: what happens to my voice data? IdentityCall was designed with privacy as a core principle, not an afterthought. You stay in control.
Audio retention you control
Set retention per project. Recordings can be deleted while the voice profile is kept for matching, and voice profiles can be deleted independently of recordings.
What a voice profile is
A voice profile is a 256-number representation used for speaker matching. It remains biometric data and needs the same protection as a recording.
Protected, not anonymous
Storing a profile instead of audio reduces what is held, but it does not guarantee protection against voice reconstruction or cloning. Profiles get the same access controls and retention rules as recordings.
Deletion and requests
Voice profiles and recordings can be deleted independently, per project or on request, which supports erasure requests. Review our privacy policy for how call data is processed, and discuss your regulatory requirements with our team.
Add speaker recognition to your platform
Small teams: sign up and analyze 5 of your own calls free, no credit card. Larger teams: book a 30-minute consultation and we analyze 3–5 of your recordings together.
