The educational clip also required manual upload, and the report says there was no smooth YouTube ingestion.
What was measured
Input Handling
Does the tool accept direct video upload or URL, and does it auto-detect and transcribe speech without manual effort?
context, not decisivecapability
Supported upload/URL formats and auto-detection affect convenience, not the core translation and dubbing result. (3 of 3 judges)
What was given, what came back
Test input: Educational airport conversation short (English → Spanish) · video · group: video-translation-voice-clone-lip-sync
Input — what we sent
Input not captured
This run recorded no prompt or input file for the test, so we cannot show you what produced the result below. Capture gaps are tracked, not hidden.
A structured educational/conversation-style English short video used to test translation into Spanish with clear narration, steadier pacing, and easier lip-sync alignment than the other scenarios.
Why this input is hard
- · Structured speech translation accuracy
- · English-to-Spanish narration quality
- · Longer-phrase lip-sync consistency
- · Clear voice rendering for informational content
- · Export/download reliability in a simple speaking scenario
Output — unretouched
Also checked on this input — same tool, 4 other criteria
Automation Level✓ WorkedAfter upload, the workflow is rated high automation end-to-end.Lip Sync Accuracy◐ MixedLip sync is better on the slower educational clip, although slight lag in lip movement remains.Translation Accuracy✓ WorkedThe Spanish translation is accurate and clear, especially for structured educational speech.Voice Cloning Quality◐ MixedThe voice is understandable but slightly robotic, so the tool does not strongly clone the original speaker's natural tone.
Provenance
- Observation
- 2dac58d1-57f0-4558-8e66-76eed10d56f5
- Evidence run
- ec1dd100-6af8-4f49-8f19-b78492702b14
- Study
- Translate Videos with Voice Cloning and Lip Sync Using AI
- Research task
- 86b96dfpf
- Tested at
- not recorded
- Source
- first-party
- Evidence state
- verified
- Proof shown
- output 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: "sync-labs",
scenario: "video-translation-voice-clone-lip-sync"
})MCP · mcp.aidemos.com/api/mcp
Free with attribution.
Same input, same check — 1 other tool
measured on Input Handling
This evidence is published in
From the same study (page rebuilt from a later run)
Real inputs and real outputs, no retouching · every cell queryable via API & MCP · aidemos.com