The subtitle editor supports inline script editing plus a floating emoji picker, and it can bind an emoji layer to a timestamp as fine as 00:18.640, so timing edits are available at micro-second granularity.
What was measured
Editing ease
How quickly a user can fix transcription errors or adjust timing on a single word.
capability
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
Also checked on this input — same tool, 1 other criterion
Provenance
- Observation
- 6cb90032-f8fa-419e-b155-0c2e1c24be6c
- 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 + output shown
- 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: "vidyo-ai"
})MCP · mcp.aidemos.com/api/mcp
Free with attribution.
Same input, same check — 0 other tools
measured on Editing ease
No other tool was measured on this criterion for this input.
This evidence is published in
Real inputs and real outputs, no retouching · every cell queryable via API & MCP · aidemos.com