UploadCheck for Wispr Flow
Your Wispr Flow audio, checked before your audience checks it.
Wispr Flow turns your speech into text in any app — but when the mic drops out, the room goes quiet, or a word comes out garbled, the transcription silently mangles it and you ship the mistake. UploadCheck listens to the audio behind your dictation before it goes out, flagging dead air, dropouts, clipping, and garbled speech so what you meant is what lands.
- Garbled speech
- Mic dropouts
- Dead air
- Clipping
- Loudness off-spec
- Bad file format
FAQ
UploadCheck & Wispr Flow
How does UploadCheck work with Wispr Flow?
You generate and export your audio in Wispr Flow as usual, then run the finished file through UploadCheck — from the web, the CLI, or your AI assistant. UploadCheck scans it for problems Wispr Flow can't check, returns timestamped flags and fixes, and you re-check until it passes.
What problems does UploadCheck catch on a Wispr Flow audio?
Garbled or unintelligible speech, audio dropouts and dead air, clipping and distortion, off-target loudness, and format/codec issues — each with the exact timestamp.
Do I need to change my Wispr Flow workflow?
No. UploadCheck is the last step after your Wispr Flow audio — one check before you publish. It doesn't touch your Wispr Flow project; it inspects the finished file and hands you (or your AI) a repair list.
Can UploadCheck catch garbled or artifacted Wispr Flow audio?
Does UploadCheck fix the Wispr Flow transcript itself? No — it QCs the audio, not the text. But garbled transcripts almost always trace back to a bad audio moment: a dropout, a clipped peak, or a garbled span the model guessed at. UploadCheck's garble oracle plus the free dead_air, clipping, and loudness gates pinpoint exactly which seconds of audio caused the mistake, so you re-record the right three words instead of squinting at the whole transcript.
How much time does it save?
Instead of re-watching a clip to hunt for the one bad moment — or worse, finding it after you've published — UploadCheck flags it in one pass with the exact timestamp. Catching one bad audio before publish saves the re-generate/re-export, re-upload, and the reputational hit of a broken clip going live.