AI Detector API vs Copyleaks

TL;DR

• Copyleaks is enterprise-first. SOC 2, on-premise, plagiarism + AI bundle, contract-based sales.
• AI Detector API is self-serve and API-first. Free tier, transparent pricing, no demo call required.
• Pricing: Copyleaks is opaque (custom annual contracts; published plans start ~$10.99/mo for 1,200 pages). AI Detector API publishes everything: Free, $49/mo Pro, custom Enterprise.
• For Fortune 500 procurement: Copyleaks has the certifications and case studies.
• For developers shipping detection as a product feature: AI Detector API is the faster path.

Feature-by-feature comparison

When to pick AI Detector API

You want to ship AI detection as a feature this week, not after a 60-day procurement cycle. You value transparent pricing and a clean API more than an account manager.

When to pick Copyleaks

Your organization requires SOC 2, an on-premise option, or a bundled plagiarism + AI detection product. You have budget and time for an enterprise contract.

Pricing transparency: published vs. quote-only

Copyleaks publishes a starter plan around $10.99/month for 1,200 pages of plagiarism plus AI detection, but most customers buying API access end up on a custom annual contract. The sales motion is enterprise-flavored: a demo call, a security questionnaire, a quote, a year-long commitment. That works fine if your buyer is procurement, and badly if your buyer is one engineer.

AI Detector API publishes every tier on the pricing page. Free at zero, Pro at $49/month, Enterprise on request only when your volume actually warrants it. There is no minimum contract length. You pay month to month, you can cancel inside the dashboard, and you can see exactly what an upgrade costs before you click upgrade.

Plagiarism plus AI vs. AI only

Copyleaks bundles plagiarism detection alongside AI detection. If your use case requires both (academic integrity tools, publishing originality checks), that bundle is a real value: one API for both classes of problem.

AI Detector API focuses on AI text detection only. We are not a plagiarism checker today, and we are not planning to be one. If you need both, run AI Detector API alongside a dedicated plagiarism service (Turnitin, iThenticate, or Copyleaks' plagiarism endpoint). That tends to be cheaper than the bundle on the enterprise plan and gives you the freedom to swap either piece independently.

Compliance posture

Copyleaks has SOC 2 Type II, ISO 27001, and a deep set of enterprise compliance certifications. If your buyer is a Fortune 500 with a 90 day security review, Copyleaks has done that work.

AI Detector API is GDPR-ready and SOC 2 Type II is in progress with a target of 2027. We will send you our CAIQ-Lite questionnaire and a Data Processing Agreement on request. For smaller buyers, the lack of certifications is not a blocker. For large enterprises today, it might be, and you should weigh that against the time-to-integrate advantage we offer everywhere else.

Sentence-level scoring nuance

Both detectors expose sentence-level confidence, but the way the value is computed differs. Copyleaks averages segment confidence into a document-level number that tends to mute any single suspicious sentence. AI Detector API surfaces the raw per-sentence score and lets you pick the aggregation strategy in your product (max, mean, percentile, weighted).

That matters most for editorial and academic workflows where highlighting specific sentences for a reviewer is the entire point of the integration.

Migrating from Copyleaks to AI Detector API

Copyleaks uses an OAuth 2.0 client credentials flow with scan and result endpoints. AI Detector API uses a bearer token on a single detect endpoint. The integration code is simpler.

# Old (Copyleaks): create scan, poll for result
auth = requests.post("https://id.copyleaks.com/v3/account/login/api",
                     json={"email": EMAIL, "key": KEY}).json()
scan = requests.put(
    f"https://api.copyleaks.com/v3/scans/submit/file/{scan_id}",
    headers={"Authorization": f"Bearer {auth['access_token']}"},
    json={"base64": b64_text, ...},
)
# then poll for result via webhook

# New (AI Detector API): single synchronous call
import requests
r = requests.post(
    "https://api.aidetectorapi.com/v1/detect/",
    headers={"Authorization": "Bearer YOUR_API_KEY"},
    json={"text": text},
)
result = r.json()  # score + sentences inline

FAQ

Related reading

• Best AI Detector APIs in 2026. Compared & Tested
• AI Detection APIs: Features & Integration Guide
• Quickstart. Detect AI Text in 5 Minutes