Direct video upload works, but YouTube Shorts links are not reliably ingested, so the clip had to be downloaded and uploaded manually.
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: Fitness instructor short (English → Hindi) · video · group: video-translation-voice-clone-lip-sync
Input — what we sent
Fitness instructor short (English → Hindi)
A short fitness/coaching video with energetic single-speaker English speech, used to test whether tools can translate into Hindi while preserving fast delivery, motivational tone, and original-face lip sync.
Why this input is hard
- · Fast, energetic speech transcription
- · Tone preservation for motivational fitness content
- · English-to-Hindi translation quality
- · Lip-sync accuracy on a moving face
- · End-to-end dubbing workflow automation
Output — unretouched
Also checked on this input — same tool, 4 other criteria
Automation Level◐ MixedOnce uploaded, the pipeline from speech through translation to lip sync is automated, but manual input preparation keeps the end-to-end effort at medium to high.Lip Sync Accuracy◐ MixedLip sync works on the original face, but slight delay and mismatch are visible during fast movements.Translation Accuracy◐ MixedThe Hindi translation is moderately accurate, so the meaning is mostly preserved but not at a strong or flawless level.Voice Cloning Quality◐ MixedThe dubbed voice is decent but still sounds less natural than a stronger reference voice such as ElevenLabs.
Provenance
- Observation
- ae21e7ed-8564-48e5-a900-d663efab4dac
- 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
- 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: "sync-labs",
scenario: "video-translation-voice-clone-lip-sync"
})MCP · mcp.aidemos.com/api/mcp
Free with attribution.
Same input, same check — 0 other tools
measured on Input Handling
No other tool was measured on this criterion for this input.
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