Word-level caption highlighting stayed locked to rapid speech, with the report saying it maintained high accuracy and showed no sync drift during fast syllables.
What was measured
Timing precision
How accurately the tool syncs captions at the word level so highlights land on the right word at the right moment.
transformation
What was given, what came back
Test input: AI demos chatbot short · video
Input — what we sent
Veed io ai demos chatbot short.mp4
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, 2 other criteria
Animation quality✓ WorkedThe word-by-word text motion stayed fluid and kinetic, though the report says the low output resolution reduced the visual punch.Style range◐ MixedThe report exposes predefined styles, but describes them as standard corporate subtitles rather than a broad set of sharply distinct presets, suggesting a narrow style range.
Provenance
- Observation
- eb426764-48b3-442d-8ff1-d39065d4611f
- 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: "vizard-ai"
})MCP · mcp.aidemos.com/api/mcp
Free with attribution.
Same input, same check — 3 other tools
measured on Timing precision
AutoCaption.io✓ WorkedThe word-level highlight system stayed locked to the active words during fast speech, with no visible drift across the timeline.Opus Clip⚠ StruggledAt 1.15x playback speed, word highlighting falls behind fast speech enough to show visible text lag and minor frame drops, so rapid captions are not perfectly locked to the audio.Vidyo.ai◐ MixedAt about 1.15x spoken pace, word highlighting stayed acceptably synchronized, but it still showed fractional-frame lag during the fastest phonetic bursts.
This evidence is published in
Real inputs and real outputs, no retouching · every cell queryable via API & MCP · aidemos.com