
Amazon Rekognition Content Moderation
7.3#4 in ai content moderation softwareFrom $0.10 a monthFree planWebAPI
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| Fact | Amazon Rekognition Content Moderation | Google Cloud Vision API |
|---|---|---|
| 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. |
This service suits teams moderating image and video content in areas such as social media, gaming, ecommerce, advertising, and media and entertainment. It also fits teams that need human review for low-confidence results or image rules tailored with a custom adapter.
It suits developers seeking prebuilt vision capabilities to add to applications, especially image labeling, OCR, object localization, or content tagging. Mobile developers should note Google's recommendation of ML Kit for Firebase for Android and iOS.