Amazon Rekognition Content Moderation vs Google Cloud Vision API
Amazon Rekognition Content Moderation
aws.amazon.comGoogle Cloud Vision API
cloud.google.comSide by side
| Figure | Amazon Rekognition Content Moderation | Google Cloud Vision API |
|---|---|---|
| Price from | $0.10/mo | $0.60/mo |
| Free plan | Yes | Yes |
| Free trial | — | Yes |
| Open source | — | — |
| Web | Yes | Yes |
| Windows | — | Yes |
| macOS | — | Yes |
| Linux | — | Yes |
| API | Yes | Yes |
| Plans published | 6 | 4 |
| Spec score · AI Content Moderation Software | 9.1 (#1) | 9.1 (#2) |
| Company headquarters | LinkedIn lists Seattle, Washington as AWS headquarters. | LinkedIn lists Google's headquarters in Mountain View, California. |
| Company size | LinkedIn lists AWS company size as 10,001+ employees. | LinkedIn lists Google as a public software-development company with 10,001+ employees. |
| Documentation depth | AWS documentation covers getting started, SDK installation, images, stored video, streaming video, moderation APIs, custom adapters, and human review workflows. | Documentation includes setup guides, quickstarts, OCR and handwriting guides, REST/RPC references, quotas, languages, samples and release notes. |
| Integrations | TrustRadius lists Amazon S3, Amazon SageMaker, Amazon Comprehend, Amazon Translate, and Amazon Transcribe as integrations. | Google documentation demonstrates workflows connecting Vision with Cloud Storage, Cloud Functions, Pub/Sub, Translation, Text-to-Speech and DLP. |
| Purpose | Amazon Rekognition Content Moderation automates image and video moderation workflows with machine learning and managed APIs. | Cloud Vision API provides image analysis features that developers can integrate into applications. |
| Rating on G2 | 4.3 out of 5 from 28 reviews | 4.5 out of 5 from 116 reviews. |
| Rating on Gartner Peer Insights | 4.6 out of 5 from 5320 ratings | 4.5 out of 5 from 29 ratings. |
| Rating on TrustRadius | 9.9 out of 10 from 5 reviews | 8.7 out of 10 from 2 reviews and ratings. |
| What it does | Amazon Rekognition Content Moderation analyzes images and videos with deep learning and returns labels and confidence scores for inappropriate, unwanted, or offensive content. | Cloud Vision API provides REST and RPC interfaces for adding pretrained image-analysis capabilities to applications. |
Plans
Amazon Rekognition Content Moderation
- Amazon Rekognition Custom Moderation adapterFree
- Amazon Rekognition Free TierFree
- Amazon Rekognition Video Content Moderation$0.10 a month
- Custom Moderation adapterPrice not published
- Standard image moderation (DetectModerationLabels, Group 2)Price not published
- Video content moderationPrice not published
Google Cloud Vision API
- Cloud Vision API pay-as-you-goFree
- First 1,000 unitsFree
- Units above 5,000,000$0.60 a month
- Units 1,001 to 5,000,000$1.50 a month
In their own words
Amazon Rekognition Content Moderation
Amazon Rekognition Content Moderation uses machine learning and managed APIs to automate moderation of images and videos. It detects categories including explicit or suggestive content, violence, drugs, tobacco, alcohol, hate symbols, gambling, and disturbing content. Results include labels, confidence scores, and video timestamps, which can support granular rules based on a hierarchical taxonomy. Customers can train a Custom Moderation adapter for image analysis with as few as 20 annotated images. Low-confidence predictions can be sent to Amazon Augmented AI for review by internal teams or third-party reviewers. For stored video, StartContentModeration analyzes content in an Amazon S3 bucket and publishes completion status to an Amazon SNS topic. AWS charges according to images or video duration processed, with no minimum fees or upfront commitments. The Free Tier lasts 12 months from account creation and includes 60 video-analysis minutes per month and two custom-adapter training hours monthly. Images and videos passed to the service may be stored and used to improve it unless customers opt out; stored content is encrypted at rest using AWS KMS.
Google Cloud Vision API
Google Cloud Vision API provides image-analysis features that developers can integrate into applications through REST or RPC. Its capabilities include image labeling, face and landmark detection, text recognition, object localization, web detection, and explicit-content tagging. Text Detection reads text in images, while Document Text Detection supports dense text, handwriting, and PDF or TIFF files. Object Localization returns labels and bounding boxes for multiple recognized objects. Web Detection can return related web entities, matching image URLs and pages, visually similar images, and a best-guess label. Face Detection locates faces and facial landmarks and supplies likelihood ratings, but it does not recognize specific individuals. Documented workflows connect it with Cloud Storage, Cloud Functions, Pub/Sub, and Cloud Translation API. For Android and iOS development using Google Cloud Vision services, Google recommends ML Kit for Firebase. Limits include 20 MB per image, 10 MB per JSON request, 16 images per synchronous annotate request, and 2,000 images per asynchronous batch request. The first 1,000 units per feature each month are free; subsequent charges vary by feature and usage tier. The listed plan price is free, with Label Detection listed at 1.50 USD per 1,000 units for 1,001–5,000,000 units.