BSmeter vs Deepware Scanner
Deepware Scanner does one thing well: scan a video for signs of deepfake manipulation, free of charge. BSmeter asks a broader question, not just whether the footage is real but whether what's being said is true. It transcribes any YouTube, TikTok, Instagram Reel, or podcast, scores every verifiable claim 0-100 with cited evidence in real time, and flags deepfake signals along the way.
BSmeter vs Deepware Scanner: side by side
| Feature | BSmeter | Deepware Scanner |
| Core question answered | "Is what this video says true?" Per-claim credibility scores with cited sources | "Has this video's footage been deepfaked?" |
| Deepfake specialization | Deepfake and AI-generation signals as one layer of a broader analysis | Dedicated deepfake scanning is its entire focus |
| Cost of a basic scan | Free tier is limited to 1 analysis/day; paid plans from $3.99/mo | Free to use |
| Claim-level fact-checking | Extracts every verifiable claim and scores each 0-100 with cited evidence | Not offered; it evaluates footage authenticity, not statements |
| Extras beyond the scan | Fallacy flags, viewer-comment insights, and (on Premium) podcast intelligence and audio narration | Focused scan results without claim or comment analysis |
| Developer access | No public API today; web app plus Chrome/Firefox extension | Offers a developer API for teams that want scanning inside their own apps |
Where BSmeter wins
- Goes past footage authenticity to the content itself: every verifiable claim is scored 0-100 with cited evidence sources.
- Works where people actually watch: YouTube, TikTok, Instagram Reels, and podcasts, with a browser extension that checks as you watch.
- Adds context a scanner can't, including logical-fallacy flags and viewer-comment analysis, with results in seconds to a couple of minutes.
The verdict
If your only question is whether a piece of footage is deepfaked, Deepware Scanner answers it for free and deserves a look. BSmeter is the better fit when the manipulation you're worried about lives in the words rather than the pixels, since misleading claims travel just fine in authentic footage. For most viewers, that second question is the one that actually matters.