SightRadar
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SightRadar vs Face++

Flat per-photo pricing, a real console, no QPS packages to size.

Face++ (by Megvii) is a long-running face platform with a broad feature catalog, but its commercial model leans on free-tier QPS limits and paid concurrency packages you size up front. SightRadar focuses on the core recognition workflow — index, search, compare, detect — on an AWS Rekognition–compatible API, with flat per-photo pricing where you pay only for what you use ($0.00093/photo, no QPS tiers to reason about), a real web console, ready-made SDKs, and per-tenant data isolation.

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the verdict at a glance

Where it counts, SightRadar leads

Price

SightRadar

Flat $0.00093/photo, pay only for what you use — no QPS tiers, no concurrency package to pre-buy.

Face++: Free tier with QPS limits; paid throughput depends on concurrency packages you size in advance.

Reliability & access

SightRadar

Predictable throughput with no QPS package to reason about; per-tenant isolation by design.

Face++: Throughput is bounded by the concurrency package; free-tier QPS is tight.

Web UI

SightRadar

Console to browse collections, run searches, manage keys, and see per-operation usage and cost.

Face++: Developer console exists, but the model centers on API keys, QPS, and packages rather than a collection browser with cost breakdown.

the honest take

Face++ fits teams that want a very wide catalog of facial-analysis features and are comfortable sizing concurrency packages. SightRadar fits teams that want the core recognition operations on a simple, predictable pay-as-you-go model with a Rekognition-compatible API and a proper dashboard.

Side by side

Feature
SightRadar
Face++
Getting started
Rekognition-compatible API
Drop-in for AWS Rekognition face calls
Its own API surface
Ready-made SDKs
First-party zero-dependency Python & Node/TS SDKs
REST API with community/SDK wrappers
Pricing
Pricing model
Flat $0.00093/photo, pay only for what you use, no QPS tiering
Free tier with QPS limits; paid concurrency packages
Reliability & access
Predictable per-call throughput
No concurrency package to size up front
Throughput depends on the purchased concurrency package
Web UI & visibility
Collection browser + cost view
Browse collections and see per-operation credit cost
Console centers on keys/QPS/packages, not a cost breakdown
Core capability
Per-tenant isolation
Vectors never cross-searchable between accounts
FaceSets scoped to your API key
Calibrated similarity scores
Threshold on calibrated scores
Confidence with provider thresholds
Image handling
Supported formats
JPEG, PNG, WebP, HEIC/HEIF, TIFF, GIF, and BMP — decoded natively, no pre-conversion
JPG and PNG only — WebP, HEIC, and modern iPhone formats must be converted first
Max image size
30 MB per image; high-resolution photos are auto-downscaled, so no manual resizing
2 MB per image, and dimensions capped at 4096×4096 px
Precision & reliability
Auto vs review match tiers
Every match is labelled auto (safe to reveal) or review (confirm-it's-you) so wrong reveals are avoided
A single raw confidence score — the precision-vs-privacy tradeoff is yours to build
Safe retries (idempotency)
Idempotency-Key header makes retries safe — a replay returns 409 before any charge, never a double-bill
No per-call idempotency key scoped to charge-safety
Zero-face photo is a valid result
A photo with no faces returns a clean success (0 faces), not an error to special-case
Returns an empty face list

Competitor pricing changes over time — verify the current rate at Face++ pricing. SightRadar's rates are on our pricing page.

Why teams pick SightRadar

  • Flat, predictable pricing: $0.00093/photo, pay only for what you use, with no QPS tiers and no concurrency package to pre-buy and outgrow.
  • Far more forgiving image limits: SightRadar decodes JPEG, PNG, WebP, HEIC/HEIF, TIFF, GIF, and BMP up to 30 MB and auto-downscales high-resolution photos. Face++ accepts only JPG and PNG, caps files at 2 MB, and rejects anything past 4096×4096 px — so large event and phone photos need resizing and re-encoding first.
  • Two-tier match results built for biometric privacy: every search match is labelled auto (high-confidence, safe to reveal) or review (plausible — show behind a 'confirm it's you' step), instead of leaving the wrong-reveal risk to your own thresholding.
  • AWS Rekognition–compatible API plus ready-made zero-dependency Python and Node SDKs — migrate without rewriting calls.
  • A real web console: browse collections, run a search in the playground, and see per-operation usage and exact credit cost.
  • Per-tenant isolation by design, with privacy terms written specifically for a face-recognition processor and clear data residency.

Where Face++ is the better fit

  • Face++ offers a much broader catalog of facial-analysis features (dense landmarks, attributes, liveness, body/gesture) — if you need far more than core recognition, that breadth is its real advantage.

the bottom line

For core face recognition, SightRadar wins on price (flat per-photo, pay only for what you use, no QPS packages), reliability (no concurrency tier to outgrow), and the web UI (a real collection browser with per-operation cost). Pick Face++ only if you specifically need its wide catalog of extra facial-analysis features.

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