
Amazon Rekognition
WebPurify
Frame-by-frame video scan for nudity, weapons, alcohol, and drug-related risk signals before you post to TikTok, Reels, or YouTube Shorts — no social login, files auto-deleted within 60 minutes.
Application and Data, Libraries, and JavaScript Framework Components
Which is more popular?
Based on our record, Ember-cli seems to be more popular. It has been mentioned 1 time since March 2021.
Website, pricing, platforms and company facts side by side.
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Ember-cli
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| Website | getshadowguard.com | cli.emberjs.com |
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| Company | Startup from Ukraine · 1 - 9 employees · 2026 | — |
| Listed in |
In their own words, as submitted to SaaSHub.

ShadowGuard is an independent pre-publish video inspection tool for creators and teams posting to TikTok, Instagram Reels, and YouTube Shorts. Upload a raw video file (MP4, MOV, or WebM, up to 150MB / 90 seconds) — no social account login or connection required. ShadowGuard analyzes the video...
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What each product offers, as listed by its team.

Possible disadvantages
An editorial look at what each product does well and who it suits.

No analysis of ShadowGuard yet.
Overall verdict
Why this product is good
Recommended for
How often each product is chosen within a category, 0–100% relative to the other.

As answered by people managing ShadowGuard and Ember-cli.
ShadowGuard's answer
Most competitors either require connecting your social media account to run a check, or give a vague verdict with no real computer vision behind it. ShadowGuard does neither — it's an independent, no-login pre-publish scan that flags the exact timestamped moment carrying risk, scored against TikTok, Instagram Reels, and YouTube Shorts thresholds at once.
ShadowGuard's answer
Generic moderation APIs like Sightengine or Amazon Rekognition are built for developers to integrate into their own platforms — you need an API key and code. ShadowGuard is built for the individual creator: drag, drop, and get a plain-language, timestamped report in under a minute, no integration required.
ShadowGuard's answer
Individual content creators, agencies, and small teams posting short-form video to TikTok, Instagram Reels, or YouTube Shorts who want a quick sanity check before publishing.
ShadowGuard's answer
React 19, Vite, Supabase (PostgreSQL, Auth, Edge Functions), and Sightengine's computer-vision API for frame analysis.
ShadowGuard's answer
ShadowGuard started from a simple observation: social media moderation is no longer human. Today, it’s driven by ruthless, automated AI systems scanning every frame, OCR text, and audio track.
We saw creators and brands constantly playing a guessing game. They were getting their accounts restricted over false positives or minor policy triggers, completely flying blind. Relying on post-publish analytics felt like checking your parachute after you've already hit the ground.
We built ShadowGuard to level the playing field. It acts as an independent pre-publish diagnostic tool. By using advanced AI to scan video frames and visual signals, we allow creators to see what the algorithms see. We intentionally designed it without OAuth or account linking to ensure complete privacy. ShadowGuard is the tool we wished existed before hitting 'Publish'.
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Recommendations tracked on public social media and blogs since March 2021.

Tracking ShadowGuard since Sep 2026.
The webpage is LinkedIn.com. While this isn’t a framework, I know that are using https://cli.emberjs.com/release/. Source: about 5 years ago
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