Podcast QA before publish
Catch room echo, pacing dips, and inconsistent loudness before the episode goes live.
Workflow and reliability tooling for voice.
Not another voice generator. VoiceLab focuses on the boring-but-essential layer: QA, cleanup, pacing, pronunciation, and dubbing-prep pipelines.
Analyse a voice sample for clarity, pacing, filler density, room echo, clipping risk, and consistency across takes.
Mic capture and analysis stay in your browser. Nothing is uploaded.
How this is measuredCatch room echo, pacing dips, and inconsistent loudness before the episode goes live.
Flag pronunciation risks and pacing mismatches across language variants before dubbing finalises.
Keep tone, pace, and clarity coherent across 200 recorded modules from three voice actors.
We don’t generate voices. We make the voices you already have (yours, your hosts’, your hired talent’s) measurably better and more consistent.
Also in VoiceLab
Flag risky words against your target locale.
See what cleanup will do before you commit.
The demo above runs free, on your device. The same analysis is a hosted REST API and an MCP server — one key, EBU R128 / BS.1770-4 verified. VoiceLab exposes 2 endpoints / 2 MCP tools.
REST · POST
/v1/voicelab/qa speech-quality QA /v1/voicelab/segments speech segments MCP tools · https://audiolab.tools/mcp
Quick start
curl -X POST https://audiolab.tools/v1/voicelab/qa \
-H "Authorization: Bearer $AUDIOLAB_KEY" \
-H "content-type: application/json" \
-d '{"url":"https://your-audio.wav"}' Continue the workflow
Push the voice take to MixLab Analyzer for BS.1770-4 LUFS, true-peak, and tonal-balance verification.
Run the same voice file through HearLab to see how it would land for an assisted-listening audience.
For long-form material, let SignalLab auto-detect speech regions and timestamp them for editing.
Use CueLab to plan mic-routing, mix-minus, and recording paths for your show before going live.
SkillLab includes critical-listening drills that train the same dimensions VoiceLab QA scores.
MixLab, VoiceLab, and SignalLab hand audio off to one another without re-uploading. When you finish an analysis in one of those, the → Lab buttons in the demo chrome carry your decoded audio directly into the next lab’s analysis flow. The other labs open fresh.