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Aiscern vs HiTest

A side-by-side comparison built from both listings. Blank cells mean the company has not given that detail; we never guess.

Aiscern compared with HiTest
DetailAiscern logo AiscernHiTest logo HiTest
What it doesEnterprise AI verification platform for text, image, audio, and video content AI QA agent for regression testing websites
StageStartup Not given
Founded2025 Not given
Based inPK US
Pricing modelFreemium Not given
PricingNot given Free: 200 lifetime credits, 1 project, 1 member. Starter: $33/mo (billed annually at $396/year), 2,000 credits/month, 3 projects, 3 members. Team: $84/mo (billed annually at $1,008/year), 5,000 credits/month, 10 projects, 10 members. Business: Custom pricing for larger teams.
Key features
  • Text verification for ChatGPT, Claude, Gemini, GPT-4 and other AI models
  • Image deepfake detection with Bayer pattern physics analysis
  • Audio and voice clone verification with ElevenLabs support
  • Video deepfake detection with frame-by-frame analysis
  • Batch processing up to 20 files simultaneously
  • REST API with authentication and rate limits
  • Sentence-level heatmaps for text analysis
  • 20+ forensic signals including sensor physics and compression analysis
  • Exportable reports with verdict and confidence scores in under 3 seconds
  • No-account required free tier for basic text and image detection
  • Explore user journeys and auto-generate test case drafts
  • Run tests in a real browser with recording
  • Test logged-in workflows with project test accounts
  • Review failed steps, screenshots, and browser recordings
  • Schedule test runs manually, on recurring schedule, or from deployment webhook
  • AI-generated summary and actionable issue creation
  • Test multiple projects with customizable coverage
  • Team member management and access control
  • Proxy access for network configuration
  • Technical support via Slack
What makes it different
  • Only platform covering all four media types in one place
  • Published accuracy benchmarks with transparent methodology
  • Ensemble-based detection with multiple independent models voting
  • Permanently free tier for individuals, educators and researchers
  • Built for access regardless of geography or budget
  • No test script maintenance required
  • AI-powered test case generation from plain language descriptions
  • Fast coverage for product-facing workflows without coding
  • Evidence-driven failure debugging with recordings and context
  • Designed for logged-in workflows and account context
Community votes00
DR (Domain Rating by Ahrefs)Not checked yet no change since last checkNot checked yet no change since last check
Trust Flow (Majestic)03
Citation Flow (Majestic)1227
Referring domains (Majestic)718

4 details filled in for both companies.

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