AI Detector API vs Winston AI
Clean API vs OCR + dashboard. Pricing, response time, and use-case fit for backend integrations.
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Winston AI markets aggressively on accuracy. Its homepage cites a 99.98% number that anchors most of its sales copy. The product is a polished web app with an OCR layer (handwriting + scanned docs) and a public API. AI Detector API competes head-on for the API use case but skips the dashboard and OCR pieces.
Bottom line: Winston AI wins on OCR / handwriting detection and on the visible web UI. AI Detector API wins on cleaner pricing and a developer-first API surface.
TL;DR
- Winston AI: web app + API, OCR layer for handwriting/scans, aggressive accuracy claims.
- AI Detector API: pure API, no OCR yet, clean sentence-level scoring, transparent pricing.
- Pricing: Winston AI starts ~$12/mo (Essential, ~80K words/mo). AI Detector API starts free, Pro $49/mo (50K requests).
- Accuracy: both publish high numbers. Independent benchmarks vary by content type.
- For OCR / scanned doc detection: Winston AI is the only practical pick.
- For developer integration in a SaaS product: AI Detector API is the faster integration.
Feature-by-feature comparison
| Feature | AI Detector API | Winston AI |
|---|---|---|
| Pricing (entry) | Free 1,000 req/mo | $12/mo Essential |
| Pricing (Pro) | $49/mo for 50K requests | $32/mo for 200K words |
| OCR / handwriting detection | No | Yes |
| Sentence-level scoring | ✓ default | Yes |
| Latency | Sub-300ms typical | Often 1, 3s for long docs |
| Languages | 20+ | Multi-language (English-focused) |
| SDKs | Python, JavaScript | REST |
| Web dashboard | No (API only) | Yes |
| Free tier | 1,000 req/mo | 2,000 word trial |
| Enterprise | Custom + on-prem | Custom |
When to pick AI Detector API
You're building a backend product that calls detection programmatically. You don't need OCR or a dashboard. You want predictable pricing tied to API calls, not word counts.
When to pick Winston AI
You need OCR/handwriting detection (academic plagiarism workflows). You want a polished web app for non-technical users. You're comfortable with a word-based pricing model.
The OCR question
Winston AI's most distinctive feature is OCR. You can upload scanned PDFs, handwritten student work, or images of text, and Winston extracts the text and runs detection on it. For academic workflows where students still submit handwritten assignments or scanned essays, that is genuinely useful.
AI Detector API does not include OCR. Our endpoint expects text. If you need OCR plus detection, you have two clean options: run a dedicated OCR layer (Google Cloud Document AI, AWS Textract, or Mathpix for math) and pipe the output into AI Detector API, or use Winston AI for that part of your pipeline. Decoupling tends to give you better OCR accuracy than the bundled product anyway.
Word count vs. request count pricing
Winston AI prices by word. Essential at $12/month gets you about 80,000 words. Advanced at $32/month gets you 200,000. If your average document is short, that is a generous allowance. If your documents are essays or research papers, word-count quotas burn fast.
AI Detector API prices by request. One detect call processes up to 50,000 characters of text and counts as one request. The Pro tier at $49/month covers 50,000 such requests per month. A 5,000 word essay and a 50 word forum comment cost the same in this model.
Which is cheaper depends entirely on your average document length. Run the math against your real workload before you pick.
Latency in production
Winston AI's published API tends to run 1 to 3 seconds for typical inputs, longer for OCR-bearing requests where the pipeline is doing image extraction before detection. That is fine for batch grading at end-of-term but slow for inline scoring at form submit time.
AI Detector API targets sub-300ms on the detect endpoint with p95 around 450ms. That is fast enough to call inline from a form, a moderation pipeline, or a quality gate without showing a loading spinner.
Migrating from Winston AI to AI Detector API
Both APIs are similar enough that the migration is mostly swapping the host, auth header, and response field names. If you were using Winston's OCR layer, you will need to add a separate OCR step before AI Detector API. We document the Document AI and Textract patterns in our SDKs page.
// Old (Winston AI, text only)
const r = await fetch("https://api.gowinston.ai/functions/v1/predict", {
headers: {
"Authorization": `Bearer ${process.env.WINSTON_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({ text }),
});
// New (AI Detector API)
const r = await fetch("https://api.aidetectorapi.com/v1/detect/", {
method: "POST",
headers: {
"Authorization": `Bearer ${process.env.AIDETECTORAPI_KEY}`,
"Content-Type": "application/json",
},
body: JSON.stringify({ text }),
});FAQ
Will AI Detector API add OCR?
Not in the current roadmap. We prefer to do detection well and let dedicated OCR products handle the image extraction layer. If OCR ships, it will be an opt-in side endpoint, not part of the core detect call.
Is Winston more accurate?
Marketing claims from both products land in the 99 percent range. Real-world accuracy depends on the model family and the editing pattern. Both detectors do well on raw GPT-4 output and degrade on heavily edited or humanized text. Benchmark both on your own corpus.
Do you offer multi-language detection?
Yes. AI Detector API supports 20+ languages including Spanish, French, German, Portuguese, Italian, Dutch, Mandarin, Japanese, Korean, Arabic, and Hindi.
How do I switch without breaking my product?
Run both detectors in parallel on a sample of real traffic for 2 to 4 weeks. Compare scores. Tune your threshold to your new product, then cut over. Most teams complete this in under a sprint.
Related reading
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