The English dubbing sounded very natural and expressive, but it was slightly more polished and formal than the casual vlog tone, so the original personality was not fully preserved.
What was measured
Voice Cloning Quality
Does the dubbed voice sound natural, and does it match the original speaker's energy, tone, and style?
decisive for this rankingtransformation
Natural-sounding voice matching is central to successful voice cloning, which is a core part of this ranking. (3 of 3 judges)
What was given, what came back
Test input: Hindi vlog-style talking head (Hindi → English) · video · group: video-translation-voice-clone-lip-sync
Input — what we sent
241e94e71c8f4de396a3918a43f5f833.mp4
Hindi vlog-style talking head (Hindi → English)
A casual Hindi talking-head/vlog-style video used to test English dubbing on informal speech, Hinglish-like phrasing, speaker personality preservation, and lip sync under natural creator-style delivery.
Why this input is hard
- · Informal Hindi speech transcription
- · Hindi-to-English translation of casual phrasing
- · Voice cloning for conversational creator tone
- · Handling of slang/Hinglish-style content
- · Lip-sync stability during expressive speech
Output — unretouched
Also checked on this input — same tool, 2 other criteria
Lip Sync Accuracy✗ FailedThe tool provides no built-in lip sync, so the vlog output does not visually match the speaker’s mouth movements without external re-editing.Output Quality & Export✗ FailedThe exported English vlog video is not clean because the ElevenLabs dubbing watermark remains in the lower-right throughout.
Provenance
- Observation
- 454c516f-41f3-4fae-b619-007ef026ab4f
- 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: "elevenlabs",
scenario: "video-translation-voice-clone-lip-sync"
})MCP · mcp.aidemos.com/api/mcp
Free with attribution.
Same input, same check — 3 other tools
measured on Voice Cloning Quality
D-ID◐ MixedThe audio is clean, but it does not preserve the original speaker's identity or casual vlog tone.Dubverse⚠ StruggledThe cloned voice is less natural and slightly robotic, and it does not preserve the original speaker's emotion or personality well.Sync Labs⚠ StruggledThe dubbed voice sounds generic and lacks personality, which makes it a weak match for a vlog-style speaker.
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