The clip exports successfully, but the output artifact shows a small visible sync.so watermark, so the final video is not clean production-ready output.
What was measured
Output Quality & Export
Is the final exported video clean, downloadable, and production-ready, and are there watermarks or credit restrictions?
context, not decisivetransformation
A clean export and watermark-free download matter for usability, but they do not determine whether the tool can translate, clone voice, and lip-sync well. (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
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
No output artifact
The verdict rests on the tester's written observation alone — no file was captured for this cell.
Also checked on this input — same tool, 4 other criteria
Input Handling⚠ StruggledIt can handle casual Hindi speech, but it struggles with slang and mixed-language Hinglish, and background noise slightly hurts transcription accuracy.Lip Sync Accuracy✗ FailedLip sync is the weakest of the three tests, with sync inconsistencies and slightly off audio-video alignment in fast speech.Translation Accuracy◐ MixedThe Hindi-to-English translation remains understandable and retains the overall meaning, but it degrades on slang, informal tone, and mixed-language phrasing.Voice Cloning Quality⚠ StruggledThe cloned voice is less natural and slightly robotic, and it does not preserve the original speaker's emotion or personality well.
Provenance
- Observation
- 43980cd5-8957-43a7-9770-76a36e296e16
- 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
- observed
- Proof shown
- input 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: "dubverse",
scenario: "video-translation-voice-clone-lip-sync"
})MCP · mcp.aidemos.com/api/mcp
Free with attribution.
Same input, same check — 4 other tools
measured on Output Quality & Export
Akool◐ MixedThe export was visually clean with no color/rendering glitches, but it still carries AKOOL watermark branding.ElevenLabs✗ FailedThe exported English vlog video is not clean because the ElevenLabs dubbing watermark remains in the lower-right throughout.Rask AI◐ MixedThe vlog export remains intact with no corruption or garbling, but it is watermarked 'TRANSLATED BY RASK' and was only reviewable via screen recording on the free tier.Synthesia✗ FailedThe export also has a brief text-clipping glitch: "STOCK" renders as "CK" for about half a second before self-correcting.
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