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AI Studio - Xelta

Turn every video into
actionable intelligence

Transform every video into searchable, measurable, and monetizable intelligence. Explore AI-powered insights across discovery, engagement, moderation, personalization, and advertising.

Bring your own footage. See the intelligence unfold.

Upload up to 5 GB or pick a curated demo title to explore every capability.

Creative Deliverables

  • Cliff Cuts
  • Frame Shift
  • Trailers
  • Dynamic Art Poster
  • Story Arcs
  • Swarm Ingest

Cognitive Analytics & Deep Semantic Intelligence

  • Deep AI Semantic Search
  • Deep Semantic Descriptors
  • Scene Level Tagging
  • Actor Chronicles

Smart Editing & Playback Control

  • Find & Replace
  • Smart Skip
  • Redaction for Compliance

Monetization, Brand Solutions & Advertising

  • Shoppable Video Tagger
  • Brand Flipping / Logo Swap
API + SDK

Built for builders.
Composable by design.

Drop the SDK into your stack and orchestrate video pipelines with a single call. TypeScript-first, fully typed responses, webhooks, and primitives for every platform your team ships to.

  • Typed SDKs for TypeScript, Python, and Go
  • Webhook events for every pipeline stage
  • Edge-rendered outputs in under a minute
Read API Docs
print("\n--- [Feature 1] Discovering Viral Hooks & Social Highlights ---")
hooks = client.discover_hooks(file_path=video_file)
 
for i, hook in enumerate(hooks):
print(f" Hook {"{i+1}"}: {"{hook.get('title')}"}")
print(f" Visual Highlight Path: {"{hook.get('video_path')}"}")
print(f" Why it goes Viral: {"{hook.get('viral_reason')}"}\n")
 
print("\n--- [Feature 2] Generating Cinematic Vertical 9:16 Social Reels ---")
reels = client.generate_reels(file_path=video_file)
 
for reel in reels:
print(f" Social Reel: {"{reel.get('title')}"}")
print(f" Watch / Download Link: {"{reel.get('video_url')}"}")
print(f" Viral Reason: {"{reel.get('viral_reason')}"}\n")
 
print("\n--- [Feature 3] Discovering Shoppable Products & Scene Tags ---")
product_tags = client.identify_products(file_path=video_file)
 
for tag in product_tags:
print(f" Product Found: {"{tag.get('name')}"}")
print(f" Confidence Score: {"{tag.get('confidence')}"}%")
print(f" Scene Timecode: {"{tag.get('timestamp')}"}")
print(f" Visual Location (Bounding Box): {"{tag.get('bbox')}"}\n")
 
print("\n--- [Feature 4] Discovering Smart Skip Intro/recap timecodes ---")
skip_moments = client.discover_cliffs(file_path=video_file)
 
for moment in skip_moments:
print(f" Timecode: {"{moment.get('timestamp')}"}")
print(f" Type: {"{moment.get('type')}"}")
print(f" Description: {"{moment.get('desc')}"}\n")
print("\n--- [Feature 1] Discovering Viral Hooks & Social Highlights ---")
hooks = client.discover_hooks(file_path=video_file)
 
for i, hook in enumerate(hooks):
print(f" Hook {"{i+1}"}: {"{hook.get('title')}"}")
print(f" Visual Highlight Path: {"{hook.get('video_path')}"}")
print(f" Why it goes Viral: {"{hook.get('viral_reason')}"}\n")
 
print("\n--- [Feature 2] Generating Cinematic Vertical 9:16 Social Reels ---")
reels = client.generate_reels(file_path=video_file)
 
for reel in reels:
print(f" Social Reel: {"{reel.get('title')}"}")
print(f" Watch / Download Link: {"{reel.get('video_url')}"}")
print(f" Viral Reason: {"{reel.get('viral_reason')}"}\n")
 
print("\n--- [Feature 3] Discovering Shoppable Products & Scene Tags ---")
product_tags = client.identify_products(file_path=video_file)
 
for tag in product_tags:
print(f" Product Found: {"{tag.get('name')}"}")
print(f" Confidence Score: {"{tag.get('confidence')}"}%")
print(f" Scene Timecode: {"{tag.get('timestamp')}"}")
print(f" Visual Location (Bounding Box): {"{tag.get('bbox')}"}\n")
 
print("\n--- [Feature 4] Discovering Smart Skip Intro/recap timecodes ---")
skip_moments = client.discover_cliffs(file_path=video_file)
 
for moment in skip_moments:
print(f" Timecode: {"{moment.get('timestamp')}"}")
print(f" Type: {"{moment.get('type')}"}")
print(f" Description: {"{moment.get('desc')}"}\n")
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digital artists.

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Image Models

  • Gemini 2.5 Flash Image (Nano Banana)
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  • GPT Image 2

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