English words remained intelligible, and the cleaner source did not change that ceiling on this run.
What was measured
Pronunciation Accuracy
How well the tool handles names, technical terms, numbers, acronyms, and other tricky pronunciations.
decisive for this rankingtransformation
If a cloned voice cannot handle names, numbers, acronyms, and technical terms correctly, it fails at producing usable voiceover. (3 of 3 judges)
What was given, what came back
Test input: High-Quality Voice Sample · mixed · group: voice-cloning
Input — what we sent
Input, verbatim
Removing objects from videos used to take hours of manual editing. Now AI tools claim to do it in minutes. So we tested five AI video object removers to find the most reliable one. We used the same three inputs across all the tools for a fair comparison. ABC Labs showed unstable tracking and heavy distortion. Media.io offered fast processing but unusable outputs. PhotoRoom mostly relied on blur masking instead of real reconstruction. Runway delivered the cleanest removals with the most stable tracking and realistic scene reconstruction. Here's exactly how we tested it.
Research media high quality input recording.mp4
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High-Quality Voice Sample
A clean studio-quality voice recording without background noise, used to test the best-case ceiling for voice cloning, pronunciation stability, and naturalness.
Why this input is hard
- · Maximum voice-cloning accuracy
- · Naturalness with optimal source quality
- · Long-form consistency
- · Pronunciation stability
- · Voice preservation under ideal conditions
Output — unretouched
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Also checked on this input — same tool, 3 other criteria
Long-Form Consistency✓ WorkedThe output stayed poor throughout the passage rather than degrading over length, so no later-stage dropoff was observed.Naturalness & Human Quality✗ FailedThe cleaner input still produced a robotic delivery with awkward pauses breaking up the speech.Voice Match Accuracy✗ FailedCleaner source audio did not materially improve identity matching; the clone still did not closely track the original voice.
Provenance
- Observation
- 7d5bd84f-3369-49b9-9539-32d3849c8a66
- Evidence run
- 46222c41-0046-41cc-bfaa-5f7ba6aa4933
- Study
- Clone Your Voice and Generate Voiceover from Text
- Research task
- 86ba42bx1
- 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: "uberduck",
scenario: "voice-cloning"
})MCP · mcp.aidemos.com/api/mcp
Free with attribution.
Same input, same check — 8 other tools
measured on Pronunciation Accuracy
AICloneVoiceFree.com◐ MixedPronunciation is not perfect even when identity matching is strong: the report notes minor pronunciation issues in the clean-voice output.ElevenLabs✓ WorkedPronounces words correctly in the long-form English output, with pronunciation reported as stable across the generated script.Fish Audio◐ MixedCan still make isolated pronunciation mistakes on clean English input: one high-quality output had a single mispronounced word, about 2–3% of the generation, while the paired output had no such issue.Inworld✓ WorkedNo misread or garbled words were noted in the high-quality pass, and no dedicated pronunciation stress test was run on that scenario.MiniMax✓ WorkedNo misread or garbled words were noted on the clean-input generation.Speechify✓ WorkedThe clean-output pass also stayed pronunciation-clear, with no flagged mispronounced words.TopMediai Voice Cloning✓ WorkedGen keeps the script intelligible on the clean sample; the robotic character is a delivery issue, not misread words.VocalAI✓ WorkedThe clean-sample run showed no major pronunciation errors.
This evidence is published in
Real inputs and real outputs, no retouching · every cell queryable via API & MCP · aidemos.com