Welcome to the future of video content safety. Our cutting-edge Video Moderation API revolutionizes how platforms handle video content at scale, providing real-time analysis and comprehensive safety checks for every frame, audio track, and visual element. From social media platforms processing millions of uploads daily to live streaming services requiring instant content review, our API delivers unmatched accuracy and speed in video content moderation.
Built on advanced computer vision, natural language processing, and temporal analysis technologies, our platform analyzes video content across multiple dimensions simultaneously. We detect inappropriate visual content, harmful audio, embedded text violations, and even subtle contextual issues that traditional moderation systems miss. Our proprietary frame-by-frame analysis ensures comprehensive coverage, while our intelligent scene understanding provides context-aware moderation decisions that reduce false positives and improve user experience.
Whether you're protecting children from harmful content, ensuring brand safety for advertisers, or maintaining community standards across diverse user bases, our Video Moderation API scales effortlessly to meet your needs. With enterprise-grade reliability, sub-second processing speeds, and 99.8% accuracy rates, we help platforms maintain safe, engaging environments while reducing operational costs and human moderator workload by up to 95%.
99.8% accuracy in video content detection
Under 500ms per video minute
Live streaming moderation support
25+ video moderation classes
Process millions of video hours daily
REST API & SDKs for all platforms
Discover the comprehensive suite of AI-powered video analysis capabilities that make our Video Moderation API the industry's most advanced solution for video content safety and compliance.
Video content safety goes far beyond simple keyword filtering or thumbnail checks. Our comprehensive frame-by-frame analysis system examines every visual moment of uploaded videos, providing unprecedented depth in content moderation. Unlike traditional systems that might sample a few frames or rely on user reports, our AI processes the entire video timeline, ensuring no inappropriate content slips through undetected.
Our advanced computer vision models are specifically trained for video contexts, understanding not just static images but the temporal flow and context that makes video unique. The system analyzes:
Video content isn't just about what's seen – audio content plays a crucial role in user safety and platform compliance. Our advanced audio moderation system combines state-of-the-art speech recognition with sophisticated natural language processing to analyze every spoken word, background sound, and audio element in uploaded videos. This comprehensive approach ensures that harmful audio content is detected and addressed just as rigorously as visual violations.
Our audio analysis pipeline processes multiple audio elements simultaneously:
Live streaming presents unique moderation challenges that traditional post-upload analysis cannot address. Content appears in real-time, audience interactions are immediate, and the potential for viral spread of harmful content is exponentially higher. Our real-time video moderation system is specifically engineered to handle the demanding requirements of live streaming platforms, providing instant analysis and automated responses that protect audiences and streamers alike.
Our live streaming moderation architecture processes video and audio streams with minimal latency while maintaining our high accuracy standards:
Context is everything in video moderation. A medical educational video might contain content that would be inappropriate in other contexts, while news footage of violent events serves legitimate informational purposes. Our advanced scene understanding technology goes beyond simple object detection to comprehend video context, setting, purpose, and intended audience, enabling nuanced moderation decisions that respect content creators while maintaining safety standards.
Our contextual analysis system combines multiple AI technologies to understand video content holistically:
The rapid advancement of AI-generated content poses unprecedented challenges for content authenticity and user trust. Deepfake videos can spread misinformation, create non-consensual content, facilitate fraud, and undermine public discourse. Our cutting-edge synthetic media detection system represents the latest advancement in AI-versus-AI technology, specifically designed to identify and flag artificially generated or manipulated video content with industry-leading accuracy.
Our deepfake detection technology employs multiple detection methodologies working in concert to identify synthetic content:
For complete video API documentation and integration guides, visit API Documentation
{
"status": "success",
"request_id": "vid_8a3fde9b-3a85-4c67-af41-2e6844358a9e",
"video_metadata": {
"duration_seconds": 127.5,
"resolution": "1920x1080",
"fps": 29.97,
"total_frames": 3823,
"file_size_mb": 45.2
},
"visual_analysis": {
"frames_analyzed": 3823,
"violations_detected": [
{
"class_name": "Violence",
"confidence": 0.94,
"timestamp_start": 23.4,
"timestamp_end": 27.8,
"severity": "high",
"description": "Physical altercation detected"
},
{
"class_name": "Suggestive Content",
"confidence": 0.76,
"timestamp_start": 89.2,
"timestamp_end": 92.1,
"severity": "medium"
}
]
},
"audio_analysis": {
"transcription": "Hey everyone, check out this crazy fight...",
"language_detected": "en-US",
"audio_violations": [
{
"class_name": "Profanity",
"confidence": 0.89,
"timestamp": 15.7,
"detected_text": "[REDACTED]"
},
{
"class_name": "Threat",
"confidence": 0.92,
"timestamp": 45.2,
"detected_text": "I'm gonna hurt someone"
}
]
},
"deepfake_analysis": {
"is_synthetic": false,
"confidence": 0.05,
"analysis_method": "temporal_consistency"
},
"contextual_analysis": {
"content_type": "user_generated",
"scene_classification": "outdoor_public",
"age_appropriate": false,
"educational_value": false
},
"moderation_recommendation": {
"action": "remove",
"reason": "High violence content with threatening language",
"confidence": 0.97
},
"processing_time_ms": 4250,
"credits_used": 15
}import requests
import json
import time
# Configuration
api_key = "YOUR_VIDEO_API_KEY"
video_url = "https://example.com/videos/user_upload.mp4"
api_endpoint = "https://api.videomoderationapi.com/v1/moderate"
headers = {
"Authorization": f"Bearer {api_key}",
"Content-Type": "application/json"
}
# Video moderation request
payload = {
"video_url": video_url,
"analysis_types": [
"visual_content",
"audio_analysis",
"deepfake_detection",
"contextual_analysis"
],
"sensitivity_level": "medium",
"callback_url": "https://your-app.com/webhooks/moderation"
}
try:
# Submit video for analysis
response = requests.post(api_endpoint, headers=headers, json=payload)
response.raise_for_status()
result = response.json()
job_id = result['job_id']
print(f"Video analysis started. Job ID: {job_id}")
# Poll for results (for demonstration - use webhooks in production)
status_endpoint = f"https://api.videomoderationapi.com/v1/status/{job_id}"
while True:
status_response = requests.get(status_endpoint, headers=headers)
status_data = status_response.json()
if status_data['status'] == 'completed':
print("Analysis complete!")
print(json.dumps(status_data['results'], indent=2))
break
elif status_data['status'] == 'failed':
print(f"Analysis failed: {status_data['error']}")
break
else:
print(f"Status: {status_data['status']}, Progress: {status_data['progress']}%")
time.sleep(5)
except requests.exceptions.RequestException as e:
print(f"API error occurred: {e}")
Explore how our advanced Video Moderation API transforms content safety across diverse industries, enabling platforms to scale safely while protecting users, maintaining compliance, and preserving brand integrity.
Social media platforms face the monumental challenge of moderating billions of video uploads from users worldwide. From short-form content on platforms like TikTok to long-form videos on YouTube, ensuring user safety while preserving creative expression requires sophisticated, scalable moderation solutions. Our Video Moderation API provides the comprehensive analysis these platforms need to automatically detect and respond to policy violations in real-time. The system processes user-generated content including personal vlogs, educational content, entertainment videos, and live streams, identifying everything from explicit content and violence to subtle forms of harassment and misinformation. Advanced features like scene understanding help distinguish between legitimate creative content and actual violations, while temporal analysis catches brief inappropriate insertions designed to bypass simple moderation systems. The API's real-time processing capabilities enable immediate response to live content, while batch processing efficiently handles the massive volume of uploaded content. Integration with platform-specific community guidelines ensures moderation decisions align with each platform's unique standards and user expectations, creating safer online communities while supporting content creator freedom.
Live streaming platforms face unique moderation challenges where content appears in real-time and immediate audience interaction amplifies the impact of policy violations. Gaming platforms, streaming services like Twitch, and interactive entertainment sites require instant content analysis to protect audiences from harmful content while maintaining the spontaneous nature that makes live streaming engaging. Our API's real-time processing capabilities analyze live video and audio streams with minimal latency, enabling automated responses including content warnings, temporary stream suspension, and automatic content blurring. The system understands gaming context, distinguishing between fantasy violence in games and real-world harmful content, while also detecting toxic behavior, hate speech, and harassment in stream chat interactions. Advanced features include detection of stream sniping, doxxing attempts, and coordinated harassment campaigns that target streamers. For gaming platforms specifically, the system recognizes age-appropriate gaming content while flagging inappropriate user behavior, explicit custom content, and violations of platform-specific gaming community standards. The API's scalability handles everything from individual streamers to massive esports events with thousands of concurrent viewers, ensuring consistent moderation standards across all stream sizes and maintaining advertiser-safe environments for monetized content.
Educational platforms serving students from K-12 through higher education must maintain exceptionally high safety standards while supporting legitimate educational content that might contain sensitive material for learning purposes. Our Video Moderation API provides specialized analysis for educational contexts, understanding the difference between appropriate educational content and harmful material. The system analyzes student-submitted projects, recorded lectures, virtual classroom sessions, and educational video libraries with context-aware moderation that considers pedagogical intent. Advanced features include detection of cyberbullying in recorded class sessions, inappropriate student behavior in video submissions, and accidental inclusion of sensitive content in educational materials. The API supports compliance with educational privacy regulations like FERPA and COPPA while enabling safe collaborative learning environments. Special attention is paid to protecting younger users from age-inappropriate content while allowing for legitimate educational discussions of mature topics in appropriate contexts. The system also detects potential safety issues like students sharing personal information, inappropriate teacher-student interactions, or content that might indicate student welfare concerns. Integration with learning management systems ensures seamless operation within existing educational workflows while providing detailed reporting for administrative oversight and compliance documentation.
Dating platforms and social networking apps require sophisticated video moderation to create safe environments where users feel comfortable expressing themselves authentically while being protected from harassment, explicit content, and fraudulent profiles. Our API analyzes profile videos, video messages, and shared content to detect inappropriate material while respecting the personal nature of these interactions. The system identifies explicit content, harassment attempts, and potentially dangerous behavior while understanding the intimate context of dating communication. Advanced deepfake detection is particularly crucial for dating platforms, where synthetic media might be used to create fraudulent profiles or catfish unsuspecting users. The API detects signs of manipulation, fake profiles using stolen video content, and attempts to redirect users to external platforms for fraudulent purposes. Special attention is given to consent-related content, detecting and preventing non-consensual sharing of intimate material and identifying potential revenge sharing attempts. The system also analyzes video messages for signs of grooming behavior, financial scam attempts, and other predatory practices that target vulnerable users. Real-time analysis of video chat features helps detect inappropriate behavior during live interactions while preserving user privacy and the spontaneous nature of authentic connections that make these platforms valuable for genuine relationship building.
Corporate communication platforms, video conferencing tools, and enterprise collaboration systems need robust content moderation to maintain professional environments, ensure compliance with workplace policies, and protect against security threats. Our Video Moderation API provides specialized analysis for business contexts, detecting inappropriate content in recorded meetings, training videos, and internal communications while respecting corporate privacy and confidentiality requirements. The system identifies potential harassment, discriminatory behavior, and policy violations in workplace video content while understanding professional contexts that might include discussions of sensitive topics for legitimate business purposes. Advanced features include detection of confidential information sharing, intellectual property violations, and potential security breaches where sensitive business information might be inadvertently exposed. The API supports compliance with industry regulations including HIPAA for healthcare communications, financial services regulations for banking platforms, and data protection requirements for international enterprises. Special attention is given to detecting potential insider threats, inappropriate workplace behavior, and content that might create hostile work environments. The system also analyzes training and educational content for accuracy and appropriateness while supporting diverse workplace communication needs and maintaining the collaborative nature essential for productive business operations.
News organizations and media platforms face the complex challenge of moderating user-generated content while preserving editorial integrity and supporting legitimate journalism that may include sensitive or graphic material for informational purposes. Our API provides context-aware analysis that distinguishes between newsworthy content and inappropriate material, understanding journalistic context while maintaining platform safety standards. The system analyzes user-submitted videos, citizen journalism content, and user comments on news stories to detect misinformation, harassment, and inappropriate content while respecting press freedom and editorial independence. Advanced deepfake detection is crucial for news platforms where synthetic media might be used to spread false information or create misleading coverage of real events. The API identifies manipulated video content, detects coordinated disinformation campaigns, and flags potentially fabricated news footage while supporting legitimate video journalism and eyewitness reporting. Special features include analysis of protest footage and conflict reporting to detect genuine news content versus incitement or propaganda, while protecting the safety of citizen journalists and sources. The system supports fact-checking workflows by identifying potentially suspicious content for editorial review and maintaining detailed provenance tracking for video content authentication in an era of widespread media manipulation and misinformation campaigns.
E-commerce platforms increasingly rely on video content for product demonstrations, reviews, and marketing, creating new moderation challenges around commercial content safety and authenticity. Our Video Moderation API helps marketplaces maintain trust and safety by analyzing product videos, user reviews, and promotional content to detect inappropriate material, fraudulent listings, and policy violations. The system identifies prohibited items in product demonstration videos, detects misleading product claims, and flags potentially dangerous products or unsafe usage demonstrations. Advanced features include detection of counterfeit products, trademark violations, and unauthorized use of copyrighted material in promotional videos. The API analyzes user-generated review content to detect fake reviews, inappropriate content in video testimonials, and attempts to manipulate marketplace ratings through coordinated video campaigns. Special attention is given to age-appropriate product advertising, ensuring that adult products are properly categorized and that marketing videos comply with advertising standards for their intended audience. The system also detects potential safety hazards in product demonstration videos, identifies content that might violate platform commerce policies, and supports brand protection initiatives by identifying unauthorized sellers and fraudulent product representations that could damage brand reputation or consumer trust.
Telemedicine platforms and healthcare video services require specialized moderation that balances patient privacy, clinical necessity, and safety standards while maintaining the integrity of medical communications. Our API provides healthcare-specific analysis that understands medical contexts while detecting inappropriate content and ensuring compliance with healthcare privacy regulations like HIPAA. The system analyzes patient consultation videos, medical educational content, and healthcare provider communications to detect policy violations while preserving the confidential nature of medical interactions. Advanced features include detection of non-medical inappropriate content that might appear in healthcare video communications, identification of potential privacy violations, and analysis of content that might indicate patient safety concerns. The API understands clinical contexts that might include sensitive medical imagery while detecting truly inappropriate content unrelated to medical care. Special attention is given to protecting patient confidentiality, detecting potential medical misinformation in user-generated health content, and ensuring that video consultations maintain professional medical standards. The system supports compliance with international healthcare regulations while enabling legitimate medical video communication, patient education content, and healthcare provider training materials that are essential for modern medical practice and accessible healthcare delivery.
Platforms serving children require the highest level of content safety, with zero tolerance for inappropriate material and additional protections against subtle forms of harmful content that might not be immediately obvious to young viewers. Our Video Moderation API provides specialized analysis for children's content, applying enhanced safety standards and age-specific detection algorithms that protect young audiences while supporting engaging, educational entertainment. The system analyzes children's videos with heightened sensitivity to content that might be frightening, inappropriate, or harmful to developing minds, including subtle psychological manipulation techniques sometimes found in problematic children's content. Advanced features include detection of predatory behavior patterns, inappropriate adult themes disguised as children's content, and potentially harmful viral challenges or trends that might endanger child safety. The API identifies content that appears child-friendly but contains adult themes, violence, or other material inappropriate for young audiences, while supporting legitimate children's educational and entertainment content creation. Special protection features include detection of potential grooming behavior in content targeting children, identification of attempts to collect personal information from minors, and analysis of comment sections for inappropriate interactions with child viewers. The system maintains compliance with children's privacy regulations like COPPA while enabling safe, engaging video experiences that support childhood development and learning.
Financial service platforms incorporating video features for customer onboarding, support, and education face unique compliance and security requirements while needing to detect fraudulent activity and maintain customer trust. Our Video Moderation API provides specialized analysis for financial contexts, detecting suspicious behavior, fraud indicators, and compliance violations while supporting legitimate financial video communications. The system analyzes customer verification videos, financial education content, and support interactions to detect potential fraud, identity theft attempts, and policy violations while maintaining strict privacy standards required in financial services. Advanced features include deepfake detection for identity verification processes, analysis of potentially fraudulent documentation in video submissions, and detection of money laundering or illegal financial activity discussions in user-generated content. The API identifies investment scams, cryptocurrency fraud, and other financial crimes that might appear in user communications while supporting legitimate financial education and customer service operations. Special compliance features ensure adherence to financial regulations like KYC (Know Your Customer) requirements, AML (Anti-Money Laundering) standards, and international financial privacy laws while enabling secure, compliant video communications that are increasingly important in digital financial services and remote banking operations.
Industry leaders choose our Video Moderation API to protect their communities and ensure platform safety.
David K., VP of Trust & Safety
Maria S., CTO at StreamPlatform
Alex Chen, Head of Product Safety
Experience the power of advanced video moderation with our comprehensive demo. Test real videos, see detailed analysis results, and discover how AI can transform your platform's safety operations.
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