Video

Audio

Xelta Cut

Character Replacement

Xelta CutOpen the Xelta Cut video editor

MicrodramaCreate engaging micro-dramas

Future CanvasVisualize ideas on Future Canvas

Marketing & Ads Use Case

Instant AdCreate campaign with just a link

Voice DubAdd voiceovers and dubbing to videos

LinkedIn Brand Website

Reel CreatorCreate engaging 30-second reels with AI

Website BuilderGenerate full websites

MCP

GPT Plugin

MCPModel Context Protocol

Features

Creative Deliverables

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

Average Retention

90%

Across 48 scenes

Peak Scene

100%

S1 • 00:00:00

Lowest Drop

30%

S36 • 01:45:40

Risk Zone

22

22 scenes at risk | Below 60%

Retention Curve

Retention

Eng. Score

Loading curve data...

Scenes

48 scenes

Scene 1: Actor Close-up

100%

High

Scene 2: Wide Establishing Shot

87%

High

Scene 3: Over-the-shoulder Dialogue

63%

Mid

Scene 4: Medium Tracking Shot

89%

High

Scene 5: Action Sequence Cut

90%

High

Scene 6: Slow Motion Transition

66%

Mid

Scene 7: Dramatic Confrontation

92%

High

Scene 8: Narrative Reveal

48%

Low

Scene 9: Scenic Panorama

94%

High

S10

Scene 10: Focus Pull Close-up

95%

High

S11

Scene 11: Actor Close-up

51%

Low

S12

Scene 12: Wide Establishing Shot

52%

Low

S13

Scene 13: Over-the-shoulder Dialogue

53%

Low

S14

Scene 14: Medium Tracking Shot

88%

High

S15

Scene 15: Action Sequence Cut

55%

Low

S16

Scene 16: Slow Motion Transition

90%

High

S17

Scene 17: Dramatic Confrontation

66%

Mid

S18

Scene 18: Narrative Reveal

58%

Low

S19

Scene 19: Scenic Panorama

93%

High

S20

Scene 20: Focus Pull Close-up

41%

Low

S21

Scene 21: Actor Close-up

95%

High

S22

Scene 22: Wide Establishing Shot

43%

Low

S23

Scene 23: Over-the-shoulder Dialogue

86%

High

S24

Scene 24: Medium Tracking Shot

45%

Low

S25

Scene 25: Action Sequence Cut

63%

Mid

S26

Scene 26: Slow Motion Transition

47%

Low

S27

Scene 27: Dramatic Confrontation

90%

High

S28

Scene 28: Narrative Reveal

49%

Low

S29

Scene 29: Scenic Panorama

50%

Low

S30

Scene 30: Focus Pull Close-up

68%

Mid

S31

Scene 31: Actor Close-up

52%

Low

S32

Scene 32: Wide Establishing Shot

95%

High

S33

Scene 33: Over-the-shoulder Dialogue

54%

Low

S34

Scene 34: Medium Tracking Shot

86%

High

S35

Scene 35: Action Sequence Cut

56%

Low

S36

Scene 36: Slow Motion Transition

30%

Low

S37

Scene 37: Dramatic Confrontation

89%

High

S38

Scene 38: Narrative Reveal

65%

Mid

S39

Scene 39: Scenic Panorama

41%

Low

S40

Scene 40: Focus Pull Close-up

92%

High

S41

Scene 41: Actor Close-up

43%

Low

S42

Scene 42: Wide Establishing Shot

69%

Mid

S43

Scene 43: Over-the-shoulder Dialogue

45%

Low

S44

Scene 44: Medium Tracking Shot

46%

Low

S45

Scene 45: Action Sequence Cut

47%

Low

S46

Scene 46: Slow Motion Transition

62%

Mid

S47

Scene 47: Dramatic Confrontation

49%

Low

S48

Scene 48: Narrative Reveal

89%

High

Engagement Heat Map

LOW (<60%)

MID (60-70%)

HIGH (>80%)

Scene 1

Scene 2

Scene 3

Scene 4

Scene 5

Scene 6

Scene 7

Scene 8

Scene 9

Scene 10

Scene 11

Scene 12

Scene 13

Scene 14

Scene 15

Scene 16

Scene 17

Scene 18

Scene 19

Scene 20

Scene 21

Scene 22

Scene 23

Scene 24

Scene 25

Scene 26

Scene 27

Scene 28

Scene 29

Scene 30

Scene 31

Scene 32

Scene 33

Scene 34

Scene 35

Scene 36

Scene 37

Scene 38

Scene 39

Scene 40

Scene 41

Scene 42

Scene 43

Scene 44

Scene 45

Scene 46

Scene 47

Scene 48

Developer SDK & API Integration

/api/analytics/report/{job_id}

from xelta_prism import PrismClient client = PrismClient( api_key="your_api_key_here", base_url="https://api.xelta.ai" ) # Fetch master engagement report report = client.get_engagement_report( ingest_job_id="ingest_abcdef123" ) print(f"Average Watch Depth: {report['summary']['avg_watch_depth']}") print(f"Engagement Score: {report['summary']['avg_engagement_score']}")

Dynamic Response Payload

{
  "ingest_job_id": "ingest_abcdef123",
  "duration": 120,
  "summary": {
    "avg_watch_depth": "72%",
    "avg_engagement_score": 85.4,
    "avg_retention_pct": 90,
    "total_scenes": 48,
    "peak_retention": {
      "scene_index": 1,
      "retention_pct": 100,
      "start_time": 0,
      "formatted_time": "00:00:00",
      "label": "Opening Sequence"
    },
    "lowest_drop": {
      "scene_index": 36,
      "retention_pct": 30,
      "start_time": 105.48,
      "formatted_time": "01:45:48",
      "label": "Sponsor Message"
    },
    "risk_zone_count": 22
  }
}

Video Lens

Features

Dashboard

Creative Deliverables

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

Average Retention

90%

Across 48 scenes

Peak Scene

100%

S1 • 00:00:00

Lowest Drop

30%

S36 • 01:45:40

Risk Zone

22

22 scenes at risk | Below 60%

Retention Curve

Retention

Eng. Score

Loading curve data...

Scenes

48 scenes

Scene 1: Actor Close-up

100%

High

Scene 2: Wide Establishing Shot

87%

High

Scene 3: Over-the-shoulder Dialogue

63%

Mid

Scene 4: Medium Tracking Shot

89%

High

Scene 5: Action Sequence Cut

90%

High

Scene 6: Slow Motion Transition

66%

Mid

Scene 7: Dramatic Confrontation

92%

High

Scene 8: Narrative Reveal

48%

Low

Scene 9: Scenic Panorama

94%

High

S10

Scene 10: Focus Pull Close-up

95%

High

S11

Scene 11: Actor Close-up

51%

Low

S12

Scene 12: Wide Establishing Shot

52%

Low

S13

Scene 13: Over-the-shoulder Dialogue

53%

Low

S14

Scene 14: Medium Tracking Shot

88%

High

S15

Scene 15: Action Sequence Cut

55%

Low

S16

Scene 16: Slow Motion Transition

90%

High

S17

Scene 17: Dramatic Confrontation

66%

Mid

S18

Scene 18: Narrative Reveal

58%

Low

S19

Scene 19: Scenic Panorama

93%

High

S20

Scene 20: Focus Pull Close-up

41%

Low

S21

Scene 21: Actor Close-up

95%

High

S22

Scene 22: Wide Establishing Shot

43%

Low

S23

Scene 23: Over-the-shoulder Dialogue

86%

High

S24

Scene 24: Medium Tracking Shot

45%

Low

S25

Scene 25: Action Sequence Cut

63%

Mid

S26

Scene 26: Slow Motion Transition

47%

Low

S27

Scene 27: Dramatic Confrontation

90%

High

S28

Scene 28: Narrative Reveal

49%

Low

S29

Scene 29: Scenic Panorama

50%

Low

S30

Scene 30: Focus Pull Close-up

68%

Mid

S31

Scene 31: Actor Close-up

52%

Low

S32

Scene 32: Wide Establishing Shot

95%

High

S33

Scene 33: Over-the-shoulder Dialogue

54%

Low

S34

Scene 34: Medium Tracking Shot

86%

High

S35

Scene 35: Action Sequence Cut

56%

Low

S36

Scene 36: Slow Motion Transition

30%

Low

S37

Scene 37: Dramatic Confrontation

89%

High

S38

Scene 38: Narrative Reveal

65%

Mid

S39

Scene 39: Scenic Panorama

41%

Low

S40

Scene 40: Focus Pull Close-up

92%

High

S41

Scene 41: Actor Close-up

43%

Low

S42

Scene 42: Wide Establishing Shot

69%

Mid

S43

Scene 43: Over-the-shoulder Dialogue

45%

Low

S44

Scene 44: Medium Tracking Shot

46%

Low

S45

Scene 45: Action Sequence Cut

47%

Low

S46

Scene 46: Slow Motion Transition

62%

Mid

S47

Scene 47: Dramatic Confrontation

49%

Low

S48

Scene 48: Narrative Reveal

89%

High

Engagement Heat Map

LOW (<60%)

MID (60-70%)

HIGH (>80%)

Scene 1

Scene 2

Scene 3

Scene 4

Scene 5

Scene 6

Scene 7

Scene 8

Scene 9

Scene 10

Scene 11

Scene 12

Scene 13

Scene 14

Scene 15

Scene 16

Scene 17

Scene 18

Scene 19

Scene 20

Scene 21

Scene 22

Scene 23

Scene 24

Scene 25

Scene 26

Scene 27

Scene 28

Scene 29

Scene 30

Scene 31

Scene 32

Scene 33

Scene 34

Scene 35

Scene 36

Scene 37

Scene 38

Scene 39

Scene 40

Scene 41

Scene 42

Scene 43

Scene 44

Scene 45

Scene 46

Scene 47

Scene 48

Developer SDK & API Integration

/api/analytics/report/{job_id}

Dynamic Response Payload

{
  "ingest_job_id": "ingest_abcdef123",
  "duration": 120,
  "summary": {
    "avg_watch_depth": "72%",
    "avg_engagement_score": 85.4,
    "avg_retention_pct": 90,
    "total_scenes": 48,
    "peak_retention": {
      "scene_index": 1,
      "retention_pct": 100,
      "start_time": 0,
      "formatted_time": "00:00:00",
      "label": "Opening Sequence"
    },
    "lowest_drop": {
      "scene_index": 36,
      "retention_pct": 30,
      "start_time": 105.48,
      "formatted_time": "01:45:48",
      "label": "Sponsor Message"
    },
    "risk_zone_count": 22
  }
}