Less Searching.
More Storytelling.
Transform massive video libraries into searchable, analyzable content. From archives to highlights, every frame becomes instantly accessible.
Your best content is buried in video.
Modern media organizations generate enormous amounts of footage daily:
- Raw production footage
- Sports broadcasts
- News archives
Finding the right moment often takes hours of manual review, tagging, and coordination. Mikshi changes that by making every scene, dialogue line, emotion, and action searchable using AI.
Search video archives the same way you search the web.
AI solutions for modern media workflows.
Intelligent Archive Search
Transform years of archived footage into searchable intelligence.
- Find exact scenes instantly
- Search by dialogue, visuals, actions, or emotions
- Discover forgotten content across archives
- Crowd cheering after final goal
- Rainy cinematic street scene
- Emotional interview close-up
- Anchor discussing election results
Production Acceleration
Reduce time spent reviewing and organizing footage.
- Scene segmentation
- Timeline chapters
- Highlight moments
- Metadata and descriptions
Move from raw footage to edit-ready assets dramatically faster.
Content Repurposing at Scale
Turn one video into many content experiences.
- Social media clips
- Promotional trailers
- Highlight reels
- Topic-specific compilations
Create more content without increasing production overhead.
Built for every media workflow.
Goals, reactions, and key moments
Locate goals, reactions, celebrations, and key moments for faster highlight creation.
Search raw footage with language
Search raw footage, dailies, and scene variations using natural language.
Surface clips and references fast
Surface relevant clips, interviews, and historical references in seconds.
Brand-safe campaign moments
Identify brand-safe moments and generate campaign-ready clips faster.
Long-form into short-form
Turn long-form content into engaging short-form videos automatically.
AI that understands video context.
Go beyond transcripts and metadata. Understand what happened, why it mattered, and where it appears across your library.
Visual scene analysis
Identify objects, settings, and visual relationships across frames.
Speech & dialogue recognition
Transcribe, attribute, and interpret dialogue and tone.
Object & action detection
Detect specific objects, gestures, and structured activities.
Emotion & sentiment understanding
Surface affect, mood, and behavioral signals invisible to metadata.
Multimodal reasoning
Combine signals to produce holistic, intelligent outputs.
Cross-archive recall
Find related content across decades of production library.
Built for large media libraries.
Whether you manage thousands of clips or petabytes of footage, Mikshi is designed for enterprise-scale video operations.
High-speed video indexing
Process and index massive video datasets in parallel.
Real-time semantic search
Semantic queries return results in milliseconds at petabyte scale.
Cloud-native deployment
Elastic infrastructure tuned for spiky and steady-state workloads.
API-first integrations
Every capability available through a clean, idiomatic interface.
Secure enterprise infra
Tenant isolation, audit logs, and on-prem deployment options.
MAM & DAM ready
Drop-in connectors for asset management ecosystems.
Scale video intelligence across your entire media ecosystem.
Integrate AI directly into your media workflow.
Embed Mikshi into existing MAM, DAM, editing, streaming, and content workflows using APIs and SDKs.
- Media Asset Management
- Editing platforms
- Streaming pipelines
- Recommendation engines
from mikshi import Client client = Client(api_key="msk_...") results = client.search( archive_id="news_2024", query="anchor discussing election results", limit=10, ) for clip in results: print(clip.timestamp, clip.title)
Every frame has value. Mikshi helps you find it.
Accelerate storytelling, unlock archives, and create smarter media workflows with AI-powered video intelligence.