Video QC Checker

Pre-upload health scan for your video: black frames, frozen frames, dead audio, clipping and delivery specs — free report card, private.

100% private — your video never leaves your device

Scan your video

Sampling-based scan (about 2 frames per second plus full audio analysis) — catches the common killers, not every single frame. Enterprise QC suites analyze exhaustively; this is your free pre-flight check.

Drop a video here or click to browse MP4, WebM — analyzed entirely on your device.

How it works

1

Drop in your video

Any MP4 or WebM your browser can play. Pick the platform you're delivering to — YouTube 1080p/4K, Instagram Reel or TikTok — and hit “Run QC scan”.

2

Frames and audio are sampled

The scanner seeks through the video sampling about 2 frames per second, measuring brightness and frame-to-frame change, then decodes the audio track for silence, clipping and loudness.

3

Get the report card

A score, key stats, and a findings list with exact timestamps — black frames, frozen sections, dead air, clipped audio, spec mismatches. Download the CSV for your records.

What video QC actually checks (and why creators skip it)

In broadcast, quality control is a gate: nothing airs until software has verified the file against the delivery spec — correct resolution and frame rate, no frozen or black frames, audio present, loudness within limits, no clipping. The enterprise tools that do this cost thousands a year because they analyze every frame on dedicated hardware. Independent creators skip QC entirely, and that's exactly why glitchy uploads happen: a render that froze for two seconds, an export where the audio track went missing, a file uploaded in the wrong orientation.

The defects this scanner hunts are the ones that actually reach viewers. Black frames usually come from gaps between clips on the timeline or a failed render segment; frozen frames come from encoder stalls, dropped frames in screen recordings, or a still image accidentally stretched across seconds of timeline. Dead air — long silent stretches — is the silent killer of retention: viewers assume the video broke and leave. Clipped audio, where the waveform slams into digital maximum, sounds harsh and cheap even on phone speakers, and it's unfixable after export.

Run the scan before you upload, not after. Fix what it flags — trim the frozen section, re-export the silent stretch, re-render the black gap — and keep the CSV as a paper trail if you deliver to clients. This scan samples rather than checking every frame, so treat a clean report as strong confidence rather than a broadcast certificate, and treat any red finding as worth the two minutes it takes to verify the timestamp yourself.

How the Checks Work

The checker samples frames as your video plays in the browser: pure-black frames are flagged, consecutive identical frames suggest a freeze, and the audio track is analyzed for digital silence and clipping (samples hitting 0 dBFS). Delivery specs — resolution, frame rate, duration — are read from the container. You get a report card, not a verdict: a black frame might be an intentional fade.

Limitations

This is a pre-upload sanity scan, not broadcast QC. It cannot judge color accuracy, compression artifacts, or loudness standards like LUFS targets — those need professional tools. Analysis runs at playback speed, so a two-hour file takes a while; trim to the section you care about first.

Quality control catches what went wrong; logging catches what went right. The Stream Highlight Logger timestamps the moments worth keeping while a stream runs.

Frequently asked questions

No — and it's honest about that. Enterprise tools analyze every single frame on dedicated hardware and check dozens of broadcast parameters. This tool samples roughly two frames per second plus your audio track in your browser, which reliably catches the most common and most embarrassing problems: black frames, frozen sections, dead audio, clipping and spec mismatches. Think of it as a pre-flight check, not a broadcast certification.
It seeks through the video and compares consecutive samples: if the picture barely changes between samples taken seconds apart, the frame is flagged as frozen. Genuinely static shots (a locked-off interview, a still title card) can trigger this too — the report shows you the timestamps so you can judge whether each flag is a real glitch or an intentional still.
A sample whose average brightness falls below a near-black threshold. Very dark night footage can occasionally trip this, which is why the report lists exact timestamps — intentional fades to black at the start or end are normal and the report treats lone edge flags leniently.
The audio track is decoded in your browser and measured second by second: average and peak loudness in dBFS, the percentage of clipped samples (hitting digital maximum, which sounds harsh), and the longest silent stretches. It checks the first three minutes for long files to keep the scan fast.
No. The entire scan — frame sampling, audio decoding and spec checks — runs locally in your browser. Your footage never leaves your device.
Yes — fades to black look identical to accidental black frames to the detector. Review the timestamps in the report; if they line up with your edits, all is well.
Samples that hit 0 dBFS, the digital maximum. A few clipped peaks in loud music are normal; sustained clipping across dialogue means the recording was too hot.

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