The kinetic word-bounce preset tracked rapid delivery smoothly without visible frame delays or caption overlaps.
What was measured
Animation quality
The smoothness and visual polish of word-level transitions, highlight effects, and synced emoji or sound effects.
transformation
What was given, what came back
Test input: AI demos chatbot short · video
Input — what we sent
AI demos chatbot short
Fast-speaking single-speaker clip used to stress whether visual word-by-word highlighting stays synchronized with rapid audio.
Why this input is hard
- · high-speed audio-visual sync
- · caption timing under rapid speech
- · sync drift detection
- · highlight lag during fast delivery
Output — unretouched
No output artifact
The verdict rests on the tester's written observation alone — no file was captured for this cell.
Also checked on this input — same tool, 1 other criterion
Provenance
- Observation
- 3cd6ed0c-8b58-4e9b-a220-0dc0a287ef7f
- Evidence run
- 476abcc6-bd47-4f8c-8d81-d7ff6f5293a2
- Study
- Generate Animated Captions with Effects for Videos
- Research task
- 86ba42c3z
- Tested at
- not recorded
- Source
- first-party
- Evidence state
- verified
- Proof shown
- input only
- Cost / latency
- not captured
- Repeat run
- not captured
- Tester
- not captured
The last three rows are honest blanks, not placeholders — our capture has no field for them yet.
Query this
get_evidence({
tool: "autocaption-io"
})MCP · mcp.aidemos.com/api/mcp
Free with attribution.
Same input, same check — 2 other tools
measured on Animation quality
Opus Clip⚠ StruggledThe highlight animation is not fully smooth under speed stress; the report describes minor frame drops and visible stuttering rather than polished continuous motion.Vizard.ai✓ WorkedThe word-by-word text motion stayed fluid and kinetic, though the report says the low output resolution reduced the visual punch.
This evidence is published in
Real inputs and real outputs, no retouching · every cell queryable via API & MCP · aidemos.com