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Microsoft Video API VS ShadowGuard

Compare Microsoft Video API VS ShadowGuard and see what are their differences

Microsoft Video API

Automatically extract metadata from video and audio files using Video Indexer. Improve the performance of your media content with Azure.

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0 reviews
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ShadowGuard

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.

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0 reviews
Pricing
Free trial $12 / One-off (30 scans)
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KeptPDF
Redact, edit, OCR, and sign PDFs entirely in your browser. The file never leaves your device. Free, no account needed. sponsored
Note: These products don't have any matching categories. If you think this is a mistake, please edit the details of one of the products and suggest appropriate categories.

Which is more popular?

Image Analysis popularity
100% vs 0%
alternatives listed
29 vs 2

Base details

Website, pricing, platforms and company facts side by side.

Microsoft Video API
ShadowGuard
Website azure.microsoft.com getshadowguard.com
Pricing —
Free trial $12 / One-off (30 scans)
Platforms —
Web
Company — Startup from Ukraine · 1 - 9 employees · 2026
Listed in
Image Analysis OCR Machine Learning Data Science And Machine Learning +1
Video Moderation Content Moderation Video

About Microsoft Video API and ShadowGuard

In their own words, as submitted to SaaSHub.

Microsoft Video API
ShadowGuard

No description of Microsoft Video API yet.

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...

Read more about ShadowGuard

Features and specs

What each product offers, as listed by its team.

Microsoft Video API 5 features
ShadowGuard 6 features
  • Comprehensive Features
    Microsoft Video API offers a wide range of functionalities such as video transcription, translation, facial recognition, emotion detection, and speech-to-text, making it versatile for different use cases.
  • Integration Capabilities
    The API integrates well within the Azure ecosystem and other Microsoft services, allowing for seamless addition to existing Microsoft-based infrastructures.
  • Scalability
    Being part of the Azure platform, the Video Indexer API can easily handle scaling up for large projects or enterprises requiring extensive processing without compromising performance.
  • Customization Options
    Users can modify models and leverage custom brands, languages, and classifiers to tailor the API to specific business needs.
  • Detailed Analytics
    The API provides in-depth insights and data analytics, which are crucial for content creators and marketers to understand viewer engagement and behavior.

Possible disadvantages

  • Complexity
    Due to its wide array of features, initial setup and operation can be complex, and users may require training or expertise to fully utilize its capabilities.
  • Cost
    Depending on usage, the service can become costly, particularly for small businesses or individual developers without large budgets.
  • Dependency on Azure
    Organizations that do not already use Azure might face challenges in integrating this API into their non-Azure environments, as it is deeply embedded in the Azure ecosystem.
  • Privacy Concerns
    Given the nature of video processing and data analytics, users must manage privacy and data protection to comply with regulations like GDPR.
  • Latency Issues
    Some users may experience latency, especially when dealing with large volume processing or when in regions far from Azure data centers.
  • Frame-by-frame video scanning
    Computer-vision analysis of every second of video, flagging nudity/suggestive content, weapons, alcohol, and drug-related visual signals.
  • Timestamped findings
    Each flagged moment comes with its exact timestamp, so you know precisely what to trim instead of guessing.
  • Cross-platform risk signals
    One scan checks separate risk thresholds for TikTok, Instagram Reels, and YouTube Shorts simultaneously.
  • No social account required
    Upload the raw video file directly — no TikTok/Instagram/YouTube login or account connection.
  • Automatic file deletion
    Uploaded videos are auto-deleted within 60 minutes after processing; never used for AI training.
  • Pay-per-scan credits
    No subscription — buy a credit pack and use scans whenever needed; credits never expire.

Videos

Walkthroughs and reviews on video.

Microsoft Video API 0 videos + Add
ShadowGuard 1 video + Add

No Microsoft Video API videos yet. You could help us improve this page by suggesting one.

ShadowGuard: Check Your Video for Risky Frames Before You Post

Category popularity

How often each product is chosen within a category, 0–100% relative to the other.

Score bands 0–20 21–40 41–50 51–60 61–100
Microsoft Video API
ShadowGuard
100% 100%
Image Analysis
0% 0%
0% 0%
Video Moderation
100% 100%
100% 100%
OCR
0% 0%
0% 0%
Video
100% 100%

Questions & Answers

As answered by people managing Microsoft Video API and ShadowGuard.

What makes your product unique?

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.

Why should a person choose your product over its competitors?

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.

How would you describe the primary audience of your product?

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.

Which are the primary technologies used for building your product?

ShadowGuard's answer:

React 19, Vite, Supabase (PostgreSQL, Auth, Edge Functions), and Sightengine's computer-vision API for frame analysis.

What's the story behind your product?

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'.

User comments

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