top of page
Search

Video Review SaaS Platform | AI-Powered Compliance Checker

In today’s fast-paced digital marketing world, getting video ads approved on platforms like Facebook can feel like navigating a maze. One wrong move—be it an unapproved phrase, a flagged visual, or a policy violation—can lead to costly rejections and delayed campaigns.


At Codersarts, we tackled this challenge head-on by developing an AI-powered SaaS platform that automates video compliance checks, saving time and ensuring ads meet Facebook Ads standards. Here’s how we brought this innovative solution to life.




The Challenge: Streamlining Video Ad Compliance

Imagine you’re a digital marketing agency juggling multiple client campaigns. Each video ad needs to pass Facebook’s stringent guidelines, but manual reviews are time-consuming and prone to errors. Our client, a mid-sized ad agency, faced this exact issue: their team spent hours reviewing videos, only to face frequent rejections due to overlooked violations. They needed a faster, smarter way to pre-screen content without breaking the bank.


That’s where Codersarts stepped in. We envisioned a SaaS platform that combines no-code simplicity with AI-driven precision to deliver timestamped compliance feedback on video content, text, and audio. The result? A tool that empowers creators, marketers, and agencies to launch compliant ads with confidence.


Video Review SaaS Platform



The Solution: AI-Powered Video Review SaaS

This Video Review SaaS platform is designed to simplify ad compliance. Built with (React.js, Node.js & Python) for a user-friendly frontend and powered by AWS AI services, it automates the review process, flagging potential issues and providing actionable insights. Here’s what makes it stand out:

 

Key Features

  • Seamless Video Upload & Storage: Users upload videos through an intuitive React.js interface, with files securely stored in Amazon S3.

  • AI-Driven Analysis: AWS Rekognition scans visuals and text for compliance issues, while Amazon Transcribe converts audio to text for policy checks.

  • Timestamped Feedback: Detailed reports highlight specific issues (e.g., “Text at 0:23 violates branding guidelines”), making edits a breeze.

  • Flexible Subscription Plans: Tiered plans (Basic, Premium, Business) with Stripe integration and a points-based system (1 video = 1 point).

  • Temporary Report Access: Results are available for 48 hours, with API access for Business Plan users to integrate with their workflows.

  • Admin Dashboard: Admins can monitor usage, manage subscriptions, and export analytics for strategic insights.



Business Value & ROI

For Agencies

  • Reduce ad rejection rates by up to 70%

  • Decrease campaign launch time by pre-screening content

  • Provide additional value-added services to clients

For In-House Teams

  • Streamline approval workflows

  • Maintain brand safety across campaigns

  • Reduce costly rework cycles from rejected ads



Tech Stack

  • Frontend: React.js or Bubble.io

  • AI Services: AWS Rekognition, Amazon Transcribe

  • Storage: Amazon S3

  • Payments: Stripe API




🚀 Outcome & Use Case

Businesses can use this tool to pre-screen their video ads, avoid policy violations, and reduce the risk of ad rejections. Agencies can offer this as a service to clients for faster review cycles.


🛠️ Ideal For:

  • Digital marketing agencies

  • Content moderation teams

  • Social media managers

  • Ad creators and editors

  • Online learning platforms



Watch the video to understand how AWS content moderation functions.



Ready to Build Your Own SaaS?

At Codersarts, we specialize in turning ideas into reality with cutting-edge tools like AI, no-code platforms, and cloud services. Whether you’re looking to streamline workflows or launch a new service, we can help you build a SaaS solution tailored to your needs.





Prototype

Build a prototype for a SaaS platform that automatically checks videos against Facebook Ads standards before publishing. This tool will help content creators, marketers, and ad agencies avoid policy violations and reduce ad rejections.


Core Functionality Requirements

  1. Video Upload Interface

    • Simple drag-and-drop upload area

    • Progress bar for upload status

    • Support for common video formats (MP4, MOV, AVI)

    • Sample video selection option for demo purposes

  2. AI Analysis Dashboard

    • Video player with timestamp navigation

    • Split-screen view showing video and compliance issues

    • Color-coded violation markers (red for critical, yellow for moderate, green for passing)

    • Interactive timeline showing detected issues

  3. Compliance Report Generation

    • Summary of detected violations

    • Timestamped screenshots of problematic content

    • Transcription of flagged audio segments

    • Exportable report in PDF format

  4. Subscription Plan Interface

    • Three-tier pricing display (Basic, Premium, Business)

    • Points system explanation

    • Payment method integration mockup

    • Account usage statistics



Visual Style and UI/UX

  • Clean, professional interface with blue and white as primary colors

  • Mobile-responsive design

  • Accessible UI elements following WCAG guidelines

  • Dark mode option

  • Minimalist, intuitive navigation

  • Modern dashboard with card-based components



Sample Data and Demonstration Flow

  1. Include 3-4 sample videos with varying compliance issues:

    • One with excessive text overlay

    • One with potentially sensitive content

    • One with questionable audio claims

    • One that passes all checks (control)

  2. Create a step-by-step user journey:

    • Account creation/login

    • Subscription selection

    • Video upload

    • Analysis processing (with visual feedback)

    • Results review

    • Report generation

    • Dashboard overview of previous analyses



Technical Implementation Suggestions

  • If you can create interactive elements, implement a functioning video player with timestamp navigation

  • Mock the AWS Rekognition and Amazon Transcribe functionality with pre-generated analysis results

  • Simulate the points-based usage system with a dynamic counter

  • Create sample compliance reports based on Facebook's actual advertising policies



Key Screens to Include

  1. Landing/Login Page

  2. Account Dashboard

  3. Video Upload Interface

  4. Analysis Processing Screen

  5. Compliance Results Dashboard

  6. Detailed Report View

  7. Subscription Management

  8. Admin Overview (simplified)



Important Details

  • The prototype should clearly demonstrate how the system identifies:

    • Text-to-image ratio violations

    • Prohibited content categories

    • Policy-violating language in audio

    • Problematic imagery

  • Include tooltips explaining how each violation relates to specific Facebook ad policies

  • Show the 48-hour result availability countdown

  • Demonstrate the points system functionality



Target Audience Focus

Design the prototype with these user personas in mind:

  • Marketing agency director managing client campaigns

  • In-house social media manager with high ad volume

  • Freelance content creator with limited policy knowledge


This prototype will serve as both a proof of concept and a visual sales tool for potential clients or investors.





Comments

bottom of page