What types of documents can Turing Verify check?

Turing Verify supports 7 document categories including diplomas, university degrees, professional certificates, government IDs, financial documents, transcripts, and employment documents.

How accurate is Turing Verify at detecting fake documents?

Turing Verify uses a 50-pattern forensic analysis framework (V50-MASTER+ID) that examines visual, typographic, metadata, data integrity, and AI-generation signals. Each verification includes a detailed per-pattern confidence breakdown.

How long does document verification take?

Most documents are verified in seconds. The AI runs a multi-stage forensic analysis pipeline including visual inspection, metadata analysis, and cross-referencing against known patterns.

Is Turing Verify free to use?

Yes. Turing Verify offers a free tier with 3 verifications per month. Paid plans start at EUR 9/month (Personal, 15 verifications), EUR 29/month (Pro, 150 verifications), and EUR 99/month (Business, 500 verifications with API access).

Is Turing Verify GDPR-compliant?

Yes. Turing Verify runs inference on EU-resident infrastructure and is fully GDPR-compliant. Documents are processed in memory and are not permanently stored unless the user explicitly opts in. A full sub-processor register and DPA are available on the Trust page.

Who uses Turing Verify?

Turing Verify is used by HR and talent teams screening candidates, university admissions offices verifying transcripts and foreign degrees, banks and insurers running KYC and claims fraud checks, and licensing boards authenticating professional credentials.

Can Turing Verify detect AI-generated fake documents?

Yes. Turing Verify is specifically designed to detect AI-generated forgeries, Photoshop edits, and sophisticated digital manipulations using multi-model forensic analysis.

The ATS Screening Playbook 2026 — Catching Fake Credentials at Scale

By the Turing Verify team · Updated April 2026

A growing share of forged credentials submitted to enterprise HR teams are AI-generated. Traditional ATS (applicant tracking system) workflows were not designed to catch these — they match keywords, not forensic signals. This playbook is how we recommend modern talent teams bolt document verification onto their ATS at the three highest-leverage points.

Stage 1: Pre-shortlist auto-screen

When a candidate uploads a diploma, transcript, or employment letter, run it through an automated verifier before any human reviews the file. The goal is to flag obvious forgeries (template reuse, AI generation, typography anomalies) without adding friction for legitimate applicants. At Turing Verify, the median verification takes 22 seconds — fast enough to run inside the ATS intake webhook.

Stage 2: Offer-stage deep verification

Before extending an offer, re-run all submitted credentials through a deeper forensic pass that includes registry cross-checks where available (e.g., National Student Clearinghouse for US degrees). Any SUSPECT verdict should trigger a manual review by a human recruiter.

Stage 3: Post-hire audit sampling

Even with pre-hire screening, a quarterly audit sample catches edge cases and deters internal fraud. Auditing even 5% of recent hires creates a documented due-diligence trail for regulators.

Integration patterns

Turing Verify integrates with Greenhouse, Lever, Workday, and any ATS that supports webhook-based file hooks. Contact [email protected] for a reference integration.