TurboLens
Verified Oct 15, 2026 ActiveDetects image forgery and AI-generated images in documents for KYC, lending, and insurance-claim review.
Listed on EffectHub ·
Pricing
- Pricing model
- Contact sales
No pricing is published; the forgery-detection layer is offered through a sandbox and the AI-detection layer is early access.
Use tool ↗About TurboLens
TurboLens analyzes uploaded images at the pixel level for two things: local manipulation such as splicing, copy-move edits, or retouching, and whether an image was created or altered by generative AI. It returns a structured response with heatmaps and confidence scores so the result can feed automated approval or rejection workflows. It targets document-verification steps in KYC onboarding, lending income documentation, insurance claim evidence, and general document processing. The AI-detection layer is described as early access; the forgery-detection layer is available through a sandbox for testing. No pricing is published on the site.
- Platforms
- Web · API
- API
- Yes
- Last verified
- Oct 15, 2026
Verified sources
- TurboLens offers forgery detection (splicing, copy-move, retouching) and early-access AI-image detection, returning JSON with heatmaps and confidence scores for KYC, lending, and insurance document workflowsturbolens.io ↗
- TurboLens also markets a document-AI product for logistics and other sectors in Southeast Asiaturbolens.io ↗
Is TurboLens legit?
We don’t label tools safe or unsafe. Below are the records we checked ourselves, each with the date we read it.
- TLS certificate
- Issued by Let's Encrypt, valid until Dec 1, 2026Seen in our own connection to the site on Oct 15, 2026
- Last checked
- Oct 15, 2026The site answered
- On the market since
- 2026The vendor's own material, read by us
- Operated by
- TurboLensOur research, card verified Sep 1, 2026
Pros & cons of TurboLens
TurboLens targets a specific, high-stakes problem: telling whether a submitted document photo has been doctored or is AI-generated before a KYC, loan, or insurance decision relies on it. The AI-detection side is explicitly early access, and with no published pricing, it reads as a tool still finding its early customers rather than a mature product.
Pros
- Separates local-manipulation detection from AI-generation detection as two distinct signals
- Returns structured JSON with heatmaps and confidence scores for automated routing
- Aimed at concrete, high-stakes workflows (KYC, lending, insurance) rather than generic use
- Offers a sandbox to test forgery detection before committing
Cons
- AI-generated-image detection is explicitly early access, not a finished feature
- No pricing published anywhere on the site
- Company background (founders, funding, exact location) is not disclosed
Best for
- Fintech and lending teams needing automated income-document authenticity checks
- Insurers validating claim evidence photos at scale
- KYC and onboarding flows that need a machine-readable authenticity score, not just a human reviewer
Not for
- Teams wanting a finished, generally-available AI-detection feature today (it's early access)
- Anyone wanting visible pricing before talking to sales