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API · /imghash-api

Perceptual Image Hash API

healthy 4,548 Subscribers

Fingerprint images for near-duplicate detection and similarity. Compute the three classic perceptual hashes — aHash (average), dHash (difference) and pHash (DCT-based) — as 64-bit hex values for any image (by URL or base64), then compare two images to get the Hamming distance and a 0-100 similarity score per algorithm, with a likely-same flag. Unlike a cryptographic hash, perceptual hashes stay close when images are resized, recompressed or lightly edited — so you can spot duplicates, find re-uploads, cluster similar pictures and power reverse-image matching. Fully local (no third-party service), nothing stored. Supports PNG, JPEG, BMP, TIFF and GIF. Live. 3 endpoints. Distinct from basic image-info/resize and from string-similarity tools.

#image-hash #perceptual-hash #phash #image-similarity #developer-tools #deduplication
api.oanor.com/imghash-api
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Machine-readable spec so AI agents can integrate this API.

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

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

Perceptual Image Hash API — live data on the oanor API marketplace

API health

healthy
Uptime
100.00%
Server probes · 24h
Avg latency
425 ms
Server probes · 24h
Subscribers
4,548
active
Total calls
60
last 7 days
status Full status page → · 12 probes/24h

Pricing

Pick a tier — billed monthly, cancel anytime.

Free

Free

  • 1,560 calls / month
  • 2 requests / second
  • Hard cap (429 above quota, no overage)
  • 1,560 calls/month
  • 2 req/sec
  • aHash + dHash + pHash + compare
  • No credit card
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Starter

€7.40 /month

  • 31,000 calls / month
  • 8 requests / second
  • Hard cap (429 above quota, no overage)
  • 31k calls/month
  • 8 req/sec
  • URL + base64 input
  • Email support
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Pro

€27.00 /month

  • 188,000 calls / month
  • 20 requests / second
  • Hard cap (429 above quota, no overage)
  • 188k calls/month
  • 20 req/sec
  • Dedup / reverse-image pipelines
  • Priority support
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Mega

€63.00 /month

  • 960,000 calls / month
  • 50 requests / second
  • Hard cap (429 above quota, no overage)
  • 960k calls/month
  • 50 req/sec
  • Platform scale
  • Dedicated SLA
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Frequently asked questions

Quick answers about pricing, quotas, and integration.

How do I get an API key for Perceptual Image Hash API?
Sign up for free at oanor.com, generate an API key from the developer dashboard, and call Perceptual Image Hash API with the x-oanor-key header. No credit card needed for the free tier.
What's the rate limit for Perceptual Image Hash 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 Perceptual Image Hash API cost?
Perceptual Image Hash API has a free tier with 100 calls / month. Paid plans start at €7.40 / 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 Perceptual Image Hash API GDPR-compliant?
All requests to Perceptual Image Hash 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/imghash-api/SOME_PATH \
  -H "x-oanor-key: oanor_test_..."
const res = await fetch("https://api.oanor.com/imghash-api/SOME_PATH", {
  headers: { "x-oanor-key": "oanor_test_..." }
});
const data = await res.json();
$ch = curl_init("https://api.oanor.com/imghash-api/SOME_PATH");
curl_setopt($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/imghash-api/SOME_PATH",
    headers={"x-oanor-key": "oanor_test_..."},
)
print(r.json())

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