API · /facedetect-api

Face Detection API

healthy 4,351 Subscribers

Detect human faces in an image and analyse each one with on-device machine learning: get the bounding box and a detection confidence, an estimated age, the predicted gender with its probability, and the dominant facial expression together with the full per-expression breakdown (neutral, happy, sad, angry, fearful, disgusted and surprised). A lightweight count endpoint returns just the number of faces and their boxes for fast gating. Supply an image by public URL, base64 or a raw binary request body; only public http/https URLs are accepted and private or internal hosts are blocked, and large images are downscaled automatically. Runs locally on TensorFlow (face-api) — no third-party upstream and no per-image cloud cost — with warm models that keep inference fast. Ideal for photo and avatar apps, audience analytics, smart cameras, auto-cropping and accessibility.

api.oanor.com/facedetect-api
Get an API key Try in playground → Contact provider

Machine-readable spec so AI agents can integrate this API.

/api/facedetect-api/openapi.json
/api/facedetect-api/llms.txt

Discovery: GET /api/index.json lists every API.

Face Detection API — live data on the oanor API marketplace

API health

healthy
Uptime
100.00%
Server probes · 24h
Avg latency
189 ms
Server probes · 24h
Subscribers
4,351
active
Total calls
40
last 7 days
status Full status page → · 8 probes/24h

Pricing

Pick a tier — billed monthly, cancel anytime.

Free

Free

  • 1,500 calls / month
  • 1 requests / second
  • Hard cap (429 above quota, no overage)
  • 1,500 calls/month, 1 req/s
  • Face detection + age, gender & expression
  • No credit card
Sign in to subscribe

Basic

€15.00 /month

  • 30,000 calls / month
  • 3 requests / second
  • Hard cap (429 above quota, no overage)
  • 30,000 requests/month, 3 req/s
  • Full facial analysis + bounding boxes & confidence
  • Commercial use included
  • Email support
Sign in to subscribe

Pro

€42.00 /month

  • 220,000 calls / month
  • 8 requests / second
  • Hard cap (429 above quota, no overage)
  • 220,000 requests/month, 8 req/s
  • High throughput for photo apps & audience analytics
  • Priority email support
  • Commercial use allowed
Sign in to subscribe

Mega

€109.00 /month

  • 1,000,000 calls / month
  • 20 requests / second
  • Hard cap (429 above quota, no overage)
  • 1,000,000 requests/month, 20 req/s
  • Highest throughput for production facial-analysis at scale
  • Priority support
  • Commercial use allowed
Sign in to subscribe

Built by

Related APIs

Other APIs with overlapping tags.

Name Insights API — oanor API marketplace

Name Insights API

Enrich a first name with predicted gender, age and nationality — with confidence probabilities and an optional country bias for higher accuracy. One combined call returns all three. Ideal for CRM enrichment, personalization, form pre-fill, audience analytics and demographic segmentation.

api.oanor.com/nameinsights-api

Classifier Metrics API — oanor API marketplace

Classifier Metrics API

Classifier-evaluation maths as an API, computed locally and deterministically. The confusion endpoint turns the four cells of a binary confusion matrix — true and false positives and negatives — into the full metric suite: accuracy, precision, recall (sensitivity), specificity, the F1 score, the Matthews correlation coefficient (robust to class imbalance), balanced accuracy, negative predictive value, the false-positive and false-negative rates and the prevalence. The diagnostic endpoint applies Bayes' theorem to a medical or screening test: from its sensitivity, specificity and the prevalence (pre-test probability) it gives the positive and negative predictive values, the positive and negative likelihood ratios and the diagnostic odds ratio. The fbeta endpoint computes the Fβ score from precision and recall (or from the raw counts) for any β — β = 1 is F1, larger β weights recall, smaller β weights precision. Metrics whose denominator is zero are returned as null rather than erroring. Everything is computed locally and deterministically, so it is instant and private. Ideal for machine-learning, data-science, medical-testing and analytics app developers, model-evaluation and screening tools, and statistics education. Pure local computation — no key, no third-party service, instant. Live, nothing stored. 3 endpoints. This is classifier evaluation; for descriptive statistics and regression use a statistics API and for hypothesis tests an inference API.

api.oanor.com/classifier-api

Hugging Face API — oanor API marketplace

Hugging Face API

The Hugging Face Hub as an API — the central, open registry of machine-learning models and datasets that powers much of the modern AI ecosystem. This API wraps the public huggingface.co Hub into clean JSON. /v1/models searches the Hub's models and lets you filter by task (pipeline_tag — e.g. text-generation, text-to-image, image-classification, automatic-speech-recognition, sentence-similarity) and by library (transformers, diffusers, sentence-transformers, …), sorted by downloads, likes, last-modified, created or trending score — each model returned with its id, author, task, library, download and like counts, license, tags and timestamps. /v1/model?id=google-bert/bert-base-uncased returns a single model's full metadata. /v1/datasets searches ML datasets the same way, and /v1/dataset?id=ILSVRC/imagenet-1k returns a single dataset's metadata. Ids are in org/name form (take them from the search endpoints). Ideal for ML and MLOps tooling, model-discovery and comparison sites, AI leaderboards and dashboards, and AI assistants that recommend models. Data comes from the public Hugging Face Hub (free to use). This is the AI/ML model and dataset hub — distinct from software-package registries (npm, PyPI, Maven, NuGet) and academic paper indexes (arXiv).

api.oanor.com/huggingface-api

NSFW Detection API — oanor API marketplace

NSFW Detection API

Moderate images automatically with on-device machine learning. Classify any image across five categories — neutral, drawing, sexy, porn and hentai — and receive per-class probabilities, the top class, a combined NSFW score and a clear verdict (safe, questionable or nsfw). A simpler check endpoint returns a single safe/unsafe decision against a threshold you choose, ideal for upload gates and user-generated-content pipelines. Supply an image by public URL, base64 or a raw binary request body; only public http/https URLs are accepted and private or internal hosts are blocked, and large images are downscaled automatically. Runs locally on TensorFlow (NSFWJS / MobileNetV2) — no third-party upstream and no per-image cloud cost — with a warm model that keeps inference fast. Ideal for community platforms, marketplaces, dating and chat apps, and any service that accepts user images.

api.oanor.com/nsfw-api

Frequently asked questions

Quick answers about pricing, quotas, and integration.

How do I get an API key for Face Detection API?
Sign up for free at oanor.com, generate an API key from the developer dashboard, and call Face Detection API with the x-oanor-key header. No credit card needed for the free tier.
What's the rate limit for Face Detection API?
Free tier allows 1 request per second. Paid plans scale up to 50 requests per second on the Mega tier. Hard limits return HTTP 429 above the quota — no surprise overage charges.
How much does Face Detection API cost?
Face Detection API has a free tier with 100 calls / month. Paid plans start at €15.00 / month with higher quotas and faster rate limits.
Can I cancel my subscription anytime?
Yes. Plans are billed monthly and you can cancel anytime from your billing dashboard. No long-term contracts and no cancellation fee.
Is Face Detection API GDPR-compliant?
All requests to Face Detection API go through our EU-based gateway. Your upstream API key never leaves our server and no personal data is shared with the upstream provider beyond the request you send.

Pick an endpoint from the list on the left to see its details and try it.

Code snippets

Sign up to get an API key, then call any path under your slug.

curl https://api.oanor.com/facedetect-api/SOME_PATH \
  -H "x-oanor-key: oanor_test_..."
const res = await fetch("https://api.oanor.com/facedetect-api/SOME_PATH", {
  headers: { "x-oanor-key": "oanor_test_..." }
});
const data = await res.json();
$ch = curl_init("https://api.oanor.com/facedetect-api/SOME_PATH");
curl_setopt($ch, CURLOPT_RETURNTRANSFER, true);
curl_setopt($ch, CURLOPT_HTTPHEADER, ["x-oanor-key: oanor_test_..."]);
$response = curl_exec($ch);
import requests
r = requests.get(
    "https://api.oanor.com/facedetect-api/SOME_PATH",
    headers={"x-oanor-key": "oanor_test_..."},
)
print(r.json())

Ratings

Sign in to rate.

No reviews yet.

Discussion

Ask questions, share usage tips, get answers from the provider and other developers. Public — anyone can read.

Sign in to start a thread or reply.

Sign in

New thread

/ 4000

📌 Pinned 🔒 Locked

·

· ·

/ 4000

🔒 This thread is locked — no new replies.

  • No threads yet — start the discussion.

Support

Private 1:1 support with the provider — billing questions, integration issues, account problems. Only you and the provider team can see these threads.

Sign in to open a support ticket.

Sign in

Open new ticket

Describe what you need help with. The provider team gets an email and replies on the ticket page.

  • No tickets yet for this API.

Subscription active — calls can start immediately.

Send your first request —

Subscription active — copy a snippet and fire off your first call.