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Freddy Maldonadoleft a comment
Hi! I built this API because I kept running into the same frustrating problem: Modern systems increasingly rely on embeddings for identity-like tasks, but the operational layer on top of them is still messy. You get a vector from a face model, voice model, document encoder, profile encoder, or some other embedding pipeline... and then what? Usually the answer is: - compare with cosine...

Stable IDs for noisy embeddings: IdemapiFrom similarity to certainty
idemapi brings fuzzy extractor-style determinism to complex, non-binary embeddings. Bind once, derive later, and keep exact comparison logic on your side.

Stable IDs for noisy embeddings: IdemapiFrom similarity to certainty
