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Proofly

FreemiumAPI

Summary

Deepfake detection tools that charge minimum commitments of thousands of dollars before you process a single frame make budget approval a blocker before the technology even proves itself — Proofly exists to cut that gate out entirely.

Proofly is a face-swap detection API that returns a verdict on whether an image or video has been manipulated, with no minimum spend required. The vendor states a 99.2% precision rate, which sits above every named competitor in their published comparison table. Free checks are available for face-swap verification, which lets teams validate detection quality against their own media before committing to per-request costs. The API design means integration into a content moderation pipeline is a code problem, not a contract negotiation. Where the tool shows its limits is scope: it is built specifically for face-swap detection, so teams needing broader manipulation signals — audio cloning, GAN artifacts outside of faces, metadata forensics — will need to bolt on additional tooling.

Bottom line: Proofly fits a media verification team that needs face-swap detection wired into a moderation pipeline without a minimum spend gate — but the moment your threat model expands beyond face swaps to full-spectrum synthetic media, you are assembling a stack of tools, not leaning on one.

Pricing Plans

Usage-Based
Price
$0.05 per request

Pay per request

per month

$0.05 per request, no minimum

  • 99.2% precision

View full pricing on proofly.ai →

Pricing may have changed since last verified. Check the official site for current plans.

Community Performance Report Card

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Best For: Media verification teams, Content moderation platforms, Security and trust applications
  • No minimum spend or subscription floor required, so teams with unpredictable or low request volumes pay only for what they process — without the $1,250–$6,900 commitments competitors require before returning a single result.
  • Free face-swap checks available, which means you can validate detection quality against your actual media before writing a single line of production integration code.
  • Vendor-stated 99.2% precision rate, the highest figure in their published competitor comparison, so false negatives that let manipulated content through are less likely to become a support or trust incident.
  • API access included, so face-swap detection can be embedded directly into a moderation pipeline rather than requiring manual file uploads through a web interface.
  • Per-request pricing model scales down as well as up, which means a seasonal or burst-traffic moderation workload does not carry fixed costs during quiet periods.
  • Detection scope is limited to face-swap analysis: teams whose threat model includes audio cloning, GAN-generated synthetic faces without a swap, document forgery, or metadata manipulation will find Proofly covers one signal and requires separate tools for everything else — at which point they are maintaining and paying for multiple vendor relationships.
  • No self-hosted deployment option exists, so any team operating under data-residency rules, legal holds, or security policies that prohibit sending media to an external API cannot use this tool and will need to evaluate on-premise alternatives regardless of the pricing advantage.
  • The precision figure is vendor-supplied and based on the vendor's own comparison table without a named independent audit source, so teams in regulated industries or high-stakes editorial contexts who need third-party validated accuracy benchmarks before deploying will lack that evidence and may default to a competitor that has published peer-reviewed or independent test results.

About

API Available
Yes
Self-Hosted
No
Last Updated
2026-09-09T07:20:53.809Z

Best For

Who it's for

  • Media verification teams
  • Content moderation platforms
  • Security and trust applications

What it does well

  • Detect deepfake images and videos
  • Verify authenticity of media content
  • High-precision face swap analysis
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Frequently Asked Questions

Is Proofly free?
Proofly has a permanent free tier alongside paid upgrades (paid plans from $0.05 per request). You can keep using a baseline version indefinitely without paying.
Is Proofly open source?
No — Proofly is a closed-source tool. Source code is not publicly available.
Does Proofly have an API?
Yes. Proofly exposes a developer API. See the official documentation at https://proofly.ai for details.
Proofly

Proofly is a deepfake face-swap detection tool that accepts media submissions and returns an authenticity verdict. The core workflow is single-shot: you submit an image or video via the API, and the model returns a result. There is no multi-step agent loop, no approval queue — the output is a detection signal your system acts on. Free checks are available for the face-swap use case, with per-request paid access available beyond that threshold.

The differentiating claim is precision. The vendor publishes a comparison table showing Proofly at 99.2% precision against competitors ranging from 89.91% to 98.8%, at a per-request cost below every named alternative except facia.ai, which requires a one-time flat fee that makes it inaccessible for variable-volume use. No minimum subscription or spend floor means a team processing 200 requests in one month and zero the next pays only for what they used — a model that none of the higher-priced competitors in the vendor’s table offer.

Proofly fits content moderation platforms and media verification teams where the specific threat is face-swap manipulation and where billing predictability matters. It does not address the full spectrum of synthetic media threats: audio deepfakes, non-face GAN artifacts, document forgery, or metadata tampering are outside what the vendor describes. Teams whose security posture requires detecting any of those signals will find Proofly handles one slice of a larger problem and will need to integrate additional detection layers. Self-hosting is not available, so teams with data-residency requirements that prohibit sending media to a third-party API face a hard architectural constraint from the start.