NeuroVidz
Pricing
- Model
- Usage-Based
- Free Tier
- Up to 40 credits for founding users; analyze first clips free
Summary
Engagement analytics that ignore audio score a flat talking-head and a gripping podcast the same — because they never listened in the first place. NeuroVidz was built to fix that.
NeuroVidz analyzes uploaded video clips up to three minutes long, extracting 32 perceptual signals per second across motion, faces, sound, and emotion, then maps those signals to a second-by-second engagement score and flags the exact timestamp where attention drops. The output is an edit recommendation, not just a chart. The audio-inclusive read is the actual differentiator — voice rhythm, silence, and music affect the score, which means podcast-style and music-heavy clips get results that reflect what a listener actually experiences. The ceiling appears fast: three-minute clip limit and a credit-based usage model mean teams processing high clip volumes will hit a wall before the end of a busy editing sprint.
Bottom line: A strong fit for a solo creator or small team tightening a handful of talking-head or short-form clips per week — less so for a post-production team that needs to process a batch of 30 takes before the client call.
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Pros
Sign in to edit- Audio-inclusive signal extraction — voice, rhythm, silence, and music feed the engagement score — so podcast-style and music-heavy clips receive a read that reflects listener experience instead of a visual-only proxy that treats a gripping monologue the same as a silent slideshow.
- Second-by-second drop-off timestamps paired with a specific edit recommendation, which means an editor knows not just that attention slipped but at which exact cut to intervene — skipping the manual scrub-and-guess cycle.
- Emotion timeline that flags uncertainty rather than forcing a label, so you are not acting on a confident-looking score that was actually a guess.
- Passwordless sign-in with no account setup friction, so the time from landing page to first result is measured in minutes rather than an onboarding sequence.
Cons
Sign in to edit- The three-minute clip ceiling is a hard stop — anything longer cannot be analyzed at all. Editors working with long-form interviews, documentary cuts, or anything beyond a short-form format get nothing from this tool and will move to a competitor or manual review.
- No API and no described export surface means the engagement scores and timestamps live inside the NeuroVidz interface only. Any team that needs to feed results into an edit decision list, a client report, or a broader analytics dashboard has to manually transcribe the output — at which point they are maintaining a parallel process that defeats the efficiency gain.
- Credit-based usage with a free allocation that exhausts quickly on volume means a team comparing multiple takes in a single session — a normal part of a real editing decision — will hit a paid-only gate before the session is finished. Teams with consistent high-volume clip review needs will find the economics of a credit model unpredictable compared to a flat-rate alternative.
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About
- Platforms
- Web
- API Available
- No
- Self-Hosted
- No
- Last Updated
- 2026-07-21T08:30:48.233Z
Best For
Who it's for
- Video editors working with talking-head or narrative content
- Creators optimizing short-form or podcast-style videos
- Teams needing quantitative engagement feedback beyond views
- Users wanting audio-inclusive analysis
What it does well
- Identifying exact seconds where viewer attention drops in short-form video
- Scoring engagement for voice-driven or music-heavy clips
- Generating precise edit recommendations for cut tightening
- Comparing emotional arcs across multiple takes
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Frequently Asked Questions
- Is NeuroVidz free?
- NeuroVidz has a permanent free tier alongside paid upgrades. You can keep using a baseline version indefinitely without paying.
- Is NeuroVidz open source?
- No — NeuroVidz is a closed-source tool. Source code is not publicly available.
- When was NeuroVidz released?
- NeuroVidz was first released in 2026.
- What platforms does NeuroVidz support?
- NeuroVidz is available on: Web.
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Curated lists that include this category
Most video analytics tools count views and guess at retention curves. NeuroVidz goes a step further: you upload a clip — mp4, mov, or webm, up to three minutes — and the system extracts 32 perceptual signals per second, mapping them to modeled brain response across attention, engagement, and emotion. The result is a 0–100 engagement score that moves with what is actually happening on screen and in the audio track, plus a precise drop-off timestamp and a specific edit recommendation for that moment.
The vendor’s core claim is that other tools are, in their words, ‘half-deaf’ — they read frames and ignore sound. NeuroVidz feeds voice energy, rhythm, music, and silence into the same read as the visual signals. This makes the tool materially different for creators whose content is voice-driven: podcasters who post video cuts, talking-head educators, or music-adjacent clips where a beat drop or a pause before a punchline carries real engagement weight.
Where it fits well: an editor reviewing three or four takes of a short-form clip who wants a quantitative second-by-second read faster than manual scrubbing. Where it breaks: the three-minute clip ceiling rules out long-form content entirely, and the credit-based model means high-volume workflows — comparing ten takes in a single session — will exhaust a free allocation quickly. No API is available, so the output stays inside the NeuroVidz interface and cannot be piped into an existing editorial pipeline or reporting dashboard. Teams needing that integration will reach for a different tool.
Sign-in is passwordless via Google or email link. The founding cohort receives 40 credits to analyze initial clips. There is no self-hosted option and no described export or API surface, so all processing happens on the vendor’s infrastructure.