Publishitknowingit'strue.
PRECHECK runs your final cut through a private, pre-publish check. Every claim, pinned to the second it is said, traced to its real source.
AI makes a wrong fact sound completely normal.
So the clip ships, and then one bad claim becomes the whole comment section. The worst part is the follow-up question: where did you even get that? By then it is already public, and you are answering it live.
You want to catch it before it goes out, on your own cut, in private.
people upvoted one creator describing this exact problem on r/artificial. The loudest replies were all the same question: how does the checker source itself?
r/artificial · "I built a fact-checker for videos"
The loop
Raw cut goes in. A video you can publish with confidence comes out.
Upload the cut, or paste the script
A finished MP4, or just the text. PRECHECK builds a transcript with a timestamp on every line, so each claim knows exactly when it is said.
Claims get pulled out, not opinions
Statistics, dates, quotes, study results. The checkable lines get flagged and typed. Jokes and hedges are left alone.
Each claim is traced to its real source
Not a blog repeating it. The actual study, dataset, or filing. A close-but-off number gets caught. Thin evidence stays unclear on purpose.
Clear the risk list, then ship
Contradicted first, then unclear, then everything that checks out. One readiness signal tells you when it is safe to publish.
The receipts
Nothing is hidden behind a label.
Open any claim and you see every source it used, how strong each one is, and why it was scored that way. A single weak page can never carry a supported verdict on its own. A skeptic in your comments could open this and see exactly what you saw.
This new AI cut misdiagnosis rates by 50 percent in the trial.
The cited JAMA 2025 trial reports a 43% relative reduction, not 50%.
Diagnostic AI in emergency triage
92JAMA · 2025 · primary
"…a 43% relative reduction in misdiagnosis versus standard triage."
For channels where one bad claim is expensive.
Research
Long explainers where a single stat carries the whole argument.
News
Fast turnarounds where the comments fact-check you in real time.
Interviews
Multi-speaker cuts where a guest's claim becomes your headline.
Education
Videos students trust, so the numbers had better be right.
Why it is different
Every other tool checks the video after it is already public.
| Tool | What it does | The gap |
|---|---|---|
| Originality.ai | Checks pasted text after the fact for AI and plagiarism. | Works on text, not your video cut. No claim-by-timestamp, nothing pre-publish. |
| PopUpFactCheck | Flags claims for viewers while they watch a published video. | Viewer-side, after publish. You only learn about a bad claim once it is already live. |
| Full Fact | A newsroom and tooling for public and political claims. | Built for journalism, not a creator running their own final cut before upload. |
| Community Notes | Crowd-sourced context added to posts once enough people agree. | Reactive and after the fact. No private check before you ship. |
| PRECHECK | Checks your own final cut or script, claim by timestamp, in private, before you upload. | That is the whole point. You see the sourcing before anyone else does. |
Start free. Your name is the asset.
For the channel that ships weekly.
- ·20 checks / month
- ·60-minute cap
- ·Re-check on the final cut
- ·PDF / CSV / JSON export
- ·Private share links
For teams with a reviewer and an editor.
- ·60 checks / month
- ·120-minute cap
- ·3 seats
- ·Reviewer sign-off trail
- ·Editor fix-list handoff
- ·Priority queue