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Filtrate vs AWS Rekognition

One focused call vs orchestrating a full AWS moderation pipeline

Common objection:

"Rekognition is from AWS — it must be more powerful and production-ready than a third-party tool."

Rekognition is solid for content moderation, but it's only one piece of the compliance puzzle. For a marketplace listing site, you also need EXIF stripped and WebP compression. Rekognition does neither. A full compliance pipeline with Rekognition requires stitching together: DetectModerationLabels (moderation) + DetectLabels (categorization) + DetectText (text detection) + a separate EXIF stripper + a separate optimizer + S3 storage. That's 5–6 API calls and integrations. Filtrate does all of that in one call at $0.002/image.

Feature comparison

Feature Filtrate AWS Rekognition
EXIF / GPS metadata strip No
WebP / AVIF compression No
AI content moderation DetectModerationLabels — one call
Text detection DetectText — separate API call required
Single endpoint for full stack No — requires 2–3 calls: moderation + labels + text
Output format conversion No
Built-in CDN / storage No — classification only; pair with S3 separately
Developer sandbox (no card) AWS Free Tier — requires account + billing

Pricing comparison

You pay
AWS Rekognition
$300+/mo
100K images × 3 API calls (DetectModerationLabels + DetectLabels + DetectText) at $0.0010 each
Limited coverage
Best value
Filtrate
$200/mo
100K images, all operations included
EXIF metadata strip
WebP optimization
AI content moderation
All 3 operations included

Integration effort

Filtrate
One POST. Everything done.
fetch('https://api.filtrate.polsia.app/v1/process', {
  method: 'POST',
  headers: { 'X-API-Key': 'flt_live_…' },
  body: new FormData().append('image', file),
});
// Returns: moderated WebP image (EXIF stripped, optimized, verdict included)
Single fetch, no SDK, no config file. Live in minutes.
AWS Rekognition
SDK + config + CDN chain.
// Rekognition: multiple calls for a full stack
// 1. DetectModerationLabels (moderation)
const r1 = await rekognition.detectModerationLabels({ Image: { S3Object: { Bucket, Name } } });
// 2. DetectLabels (categorization — often needed for marketplaces)
const r2 = await rekognition.detectLabels({ Image: { S3Object: { Bucket, Name } } });
// 3. DetectText (text extraction)
const r3 = await rekognition.detectText({ Image: { S3Object: { Bucket, Name } } });
// EXIF strip? NOT AVAILABLE — need a separate tool
// WebP compress? NOT AVAILABLE — need another tool
Multiple steps, vendor config, pipeline to wire up.

When to pick Filtrate

  • You need EXIF strip, optimization, and moderation in one call without orchestrating 3–4 API calls
  • You want transparent per-image pricing with no monthly minimum
  • You need GDPR-safe media for a marketplace or e-commerce platform
  • You want GPT-4o-mini moderation included at no extra charge
  • You need to get live today — one integration, one API key
Start free

When Rekognition makes sense

  • High-volume celebrity or face recognition use cases (Rekognition Face Detection is strong)
  • Deep AWS ecosystem lock-in — already running S3, Lambda, SQS, and want unified tooling
  • Custom Moderation Adapter training with your own annotated dataset of flagged/prohibited images
  • Existing investment in AWS infrastructure and an ML team to orchestrate the pipeline
Visit AWS Rekognition →

One API. All three operations. No vendor lock-in.

Most tools do one thing well. Filtrate does everything compliance demands in a single call. No stitching together a CDN + moderation service + metadata stripper. One endpoint. One bill. One integration.

Try the API playground

Test against real images. See the verdict in 1–5 seconds. No account required.

Calculate your savings →

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