U UploadCheck Scan a Wispr Flow audio free →
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.

0

broken videos published. Every Wispr Flow audio gets one final pass, so a frozen frame or dropped word never reaches your audience.

1 pass

instead of re-watching a 20-minute export. UploadCheck finds the one bad moment with its exact timestamp — no more scrubbing to hunt for it.

hours

saved off every delivery. No re-export → re-upload → "why is there a black frame at 0:14" from a client after it went live.

The workflow

UploadCheck is the last step after Wispr Flow

It doesn't replace Wispr Flow — it's the automated final QC pass on the finished export, the thing an editor can't reliably do by eye.

  1. 1
    Dictate with Wispr FlowHold your hotkey and speak; Wispr Flow streams your voice through its model and drops formatted text into whatever app is focused, capturing the source audio as it goes.
  2. 2
    Export the audio or voice noteSave the recorded dictation clip (or the voice memo you're about to send) as a WAV/MP3/M4A file rather than trusting the transcript blind.
  3. 3
    Run it through UploadCheckDrop the audio in. 35 deterministic gates run free — dead_air catches silent gaps and dropouts, loudness and clipping catch a hot or inaudible mic, format_spec confirms the file is well-formed — then the paid garble oracle listens for slurred, cut-off, or garbled speech.
  4. 4
    Fix, then sendOur AI tells your AI exactly what's wrong and where — re-record the garbled span, trim the dead air, normalize loudness — so the audio and the transcript both say what you meant before anything ships.
Three ways to check

However you work with Wispr Flow, there's a way in

Same engine every way. The free scan runs 35 automated checks; a paid plan adds the AI gates (garbled speech, on-screen continuity, narration match) and lifts the hourly limit.

1

Through your AI

Use Claude Code, Codex, Cursor, or any LLM for production? Paste our one-time setup prompt and it wires a /check command. Then just say "check my Wispr Flow audio" — the AI runs UploadCheck and reads back the findings. Free needs no key.

Get the setup prompt →
2

Paste a link or drop the file

Export your video or audio from Wispr Flow, then drop the file into the free scan. No account, no tools — a real PASS / BLOCK verdict with timestamps in seconds.

Start free →
3

Upload in your dashboard

On a paid plan, upload the Wispr Flow audio straight into your UploadCheck dashboard — same engine as the free scan, with every AI gate on and no hourly throttle. Paste a link or choose a file.

See paid plans →
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.

Never publish a broken Wispr Flow audio again.

Scan your export free

Free with your email — 35 gates, unlimited. Add the AI gates when you're ready, from $0.025/min.