Detect deepfakes and analyze video integrity with forensic AI
Sensity AI is a specialist Video AI platform focused on detecting manipulated media and deepfakes for trust and safety teams, journalists, and security buyers. It combines large-scale visual forensics, automated batch scanning, and human-review workflows to surface likely synthetic videos and faces. Pricing includes a free demo/limited tier and paid plans for higher-volume API and enterprise deployments, making it suitable for organizations needing reliable synthetic-media detection rather than casual video editing.
Sensity AI (Video AI) detects manipulated media and deepfakes using computer-vision and forensic models. The platform scans images and video to flag likely synthetic faces, manipulated audio-visual artifacts, and video origin anomalies. Its key differentiator is a research-backed detection stack and a dedicated dashboard+API that supports large-scale monitoring and batch scanning for safety teams, media organizations, and platforms. Sensity serves trust & safety teams, investigative journalists, and brand-protection groups. Pricing is accessible with a limited free/demo tier and paid API or enterprise plans for higher-volume usage and SLAs.
Sensity AI is a specialist Video AI company founded to address the rise of deepfakes and synthetic media. Originating from academic and industry research on visual forensics, Sensity positions itself as a detection-first vendor that surfaces manipulated faces, synthetic voice-visual inconsistencies, and altered videos at scale. The product is built around a web dashboard, a REST API, and monitoring tools that let organizations ingest URLs, upload media, or connect streams for automated scanning.
Its core value proposition is reducing time-to-detection for malicious or misleading video content, with provenance signals and model-confidence scores attached to each flagged item. Under the hood Sensity provides several concrete detection features. The platform includes face and manipulation detection that flags synthetic or altered faces and returns per-face confidence scores and heuristics; a video-level tampering score that aggregates frame-level artifacts across codecs and compression artifacts; and batch scanning to analyze multiple URLs or uploads at once (customers can queue hundreds to thousands of assets).
Sensity also exposes a JSON-based API response including bounding boxes, timestamps of suspected frames, and model-version metadata so teams can triage results programmatically. The dashboard supports exportable reports and a case-management flow for human review, plus integrations for webhook alerts. Sensity offers a demo and limited free access for testing, with paid plans for higher-volume API calls and enterprise features.
As of the latest published pricing, there is a free evaluation/demo with constraints on monthly scans; paid tiers move to metered API pricing and custom enterprise contracts - contacting sales is required for SLAs and large-volume packages. Paid plans unlock higher monthly scan quotas, priority model updates, and single-tenant or dedicated support for compliance-heavy deployments. Enterprise customers receive extended retention, custom integrations, and legal support for takedown workflows.
Typical users include trust & safety or moderation managers who use Sensity to scan platform uploads and reduce time-to-action, and investigative journalists who need to validate suspicious videos before publication. For example, a Platform Trust Manager uses Sensity to automatically scan 10,000 user-uploaded videos per month to flag manipulated content, while an Investigative Reporter uses it to verify the authenticity of a viral clip before publishing. Compared with general-purpose video tools, Sensity is detection- and forensics-focused rather than editing-focused; organizations seeking proactive deepfake detection often compare it with providers like Deepware or Amber Authenticate for accuracy and enterprise controls.
Three capabilities that set Sensity AI apart from its nearest competitors.
Which tier and workflow actually fits depends on how you work. Here's the specific recommendation by role.
Sensity AI is useful when one person needs faster output without adding a complex workflow.
Sensity AI should be tested for collaboration, quality control, permissions and repeatable results.
Sensity AI is worth buying only if the pilot shows measurable time savings or quality gains.
Current tiers and what you get at each price point. Verified against the vendor's pricing page.
| Plan | Price | What you get | Best for |
|---|---|---|---|
| Free / Demo | Free | Limited monthly scans, demo-only API access, evaluation reports | Evaluation, small tests, journalists validating a few clips |
| Starter / API | $99/month | Approx. 1,000 scans/month, API keys, webhook alerts | Small teams needing recurring moderate scanning |
| Business | $499/month | Approx. 10,000 scans/month, priority support, audit logs | Medium platforms and media organizations |
| Enterprise | Custom | Custom quotas, SLAs, single-tenant options, retention | Large platforms and regulated enterprises |
Scenario: A small team uses Sensity AI on one repeated workflow for a month.
Sensity AI: Free | Freemium | Paid | Enterprise ·
Manual equivalent: Manual review and execution time varies by team ·
You save: Potential savings depend on adoption and review time
Caveat: ROI depends on adoption, usage limits, plan cost, output quality and whether the workflow repeats often.
The numbers that matter — context limits, quotas, and what the tool actually supports.
What you actually get — a representative prompt and response.
Choose Sensity AI over Amber Authenticate if you need model-versioned JSON outputs and batch URL scanning with webhook monitoring for platform workflows.
Head-to-head comparisons between Sensity AI and top alternatives:
Real pain points users report — and how to work around each.