
Media & Entertainment
Powering Next-Gen Content Intelligence With High-Quality AI Data
From video tagging to content moderation, Anotag delivers the precise labeled data that drives smarter media workflows.
Closer than ever to your next adventure
Why Choose Anotag
Built for fast-moving content platforms and creative workflows.
01

Media-Trained Annotation Teams
Experts trained in film, OTT, gaming, and content semantics for high-context accuracy.
02
.png)
Multimodal Content Expertise
Video, audio, subtitles, scripts, UI elements — we cover every asset your platform uses.
03

Built for Scale
Supports massive libraries, weekly content drops, UGC ingestion, and global productions.
05

High-Precision Creative QA
Ensures scene, sentiment, and category labeling meet editorial expectations.
06

Fast Turnaround
Ideal for fast-moving streaming platforms and AI-powered media products.
06

Secure for Unreleased Content
Protects confidential footage, pre-release assets, and UGC at enterprise security levels.
Safety & Compliance Standards
Built to protect geospatial, drone, and field datasets at scale.
ISO 27001 Aligned
Enterprise-grade controls protect media files, audio tracks, transcripts, and metadata.
NDA + Role-Based Access
Only authorized media-trained teams handle sensitive or unreleased content assets.
SOC 2 Ready
Frameworks aligned with streaming, gaming, and OTT data-security standards.
AES-256 Encryption
All video, audio, and metadata transfers are securely encrypted end-to-end.
Secure Media Workspaces
Isolated environments protect unreleased shows, trailers, UGC, and studio files.
Continuous Monitoring
Real-time protection ensures data integrity for high-value media
assets.
Our Impact in Media AI
Enhancing viewer experiences with intelligent content data.
4M+
video frames annotated
850K+
audio minutes transcribed & labeled
300K+
thumbnails, posters & visuals tagged
98.7%
accuracy across scene-level tasks
Power Your Media Platform With High-Quality Content Intelligence
Deliver smarter recommendations, safer content, and richer viewer experiences with precision-labeled datasets.
From scene understanding to audio tagging, Anotag provides the data foundation that modern
media platforms rely on.

About the Industry Focus
Media & Entertainment is rapidly transforming through AI — from automated content tagging to real-time transcription, personalization engines, and immersive experiences.
Modern platforms rely on accurate annotations to understand video, audio, scenes, characters, sentiment, and user behaviors at scale.
At Anotag, we annotate movies, streaming content, user-generated videos, audio recordings, transcripts, subtitles, thumbnails, and multimodal media assets.
Our datasets power recommendation systems, content discovery engines, moderation tools, and new immersive media formats.
Whether you are building smart content platforms, OTT search systems, gaming engines, or interactive media — we ensure your data is structured, accurate, and ready for production AI.
Things We Do
We help media platforms transform raw video, audio, and text into actionable intelligence that enhances discovery, automation, and viewer experience.

01
Video Scene & Shot Annotation
We label scenes, segments, objects, characters, actions, and transitions across full-length content.
This improves search, highlight extraction, content discovery, and automated storytelling workflows.
02
Audio Transcription & Speaker Tagging
We transcribe conversations, music, sound effects, and ambient audio with speaker diarization.
These datasets strengthen captioning systems, audio indexing, and smart playback features.
03
Content Moderation & Safety Annotation
We annotate inappropriate visuals, harmful speech, sensitive themes, and age-restricted elements.
This powers automated moderation systems used by streaming, gaming, and social platforms.
04
Recommendation Engine Training Data
We segment content by genre, mood, themes, style, character presence, and viewer sentiment.
This fuels personalized recommendation engines that drive engagement and
retention.
05
Gaming & Virtual World Annotations
We label objects, gestures, movements, characters, UI elements, and gameplay actions.
These datasets enhance NPC behavior, AR/VR systems, and in-game analytics engines.
06
Thumbnail, Metadata & Asset Tagging
We tag visual assets with attributes such as mood, tone, emotion, colors, and compositions.
This improves automated thumbnail selection, indexing, and media library organization.
OUR PROCESS
.png)
01
Discovery & Requirement Mapping
We review your content types, labels, use cases, and platform objectives to define goals. A tailored workflow is built to match your media formats, scale, and creative needs.
02
Schema & Annotation Guidelines
We define taxonomies for scenes, actions, genres, moods, characters, objects, and audio themes, Clear rules ensure consistent labeling across large volumes of multimedia content.


03
Domain-Expert Annotation
Our teams annotate video, audio, text, subtitles, game visuals, and multimodal content, Every task is handled by media-trained specialists for accurate creative interpretation.
04
Multi-Layer QA Validation
Automated checks, human review, cross-sampling, and benchmark audits ensure high accuracy, We maintain stringent quality for content-critical tasks like moderation and discovery.

.png)
05
Refinement Based on Platform Feedback
Output is refined using feedback loops with your ML engineers, editors, and content teams. This ensures labels reflect creative context and match platform-specific logic.
06
Secure Delivery & Integration
Datasets are delivered in JSON, CSV, SRT, VTT, COCO, or custom metadata formats, They integrate directly into DAM systems, OTT platforms, or recommendation pipelines.

.png)