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Manuscript

Vin Patel
Author
Vin Patel
The only AI content detector that runs 100% on your infrastructure. Zero external API calls. Zero data leaves your network.

Visit manuscript.dev → | View on GitHub →

Why I Built This
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Every AI detection tool on the market sends your content to someone else’s servers. For healthcare, legal, finance, and government organizations, that’s a non-starter. Manuscript runs entirely on your own infrastructure.


What It Detects
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Content TypeAccuracyMethod
Text90%Linguistic analysis — sentence variance, vocabulary richness, contraction patterns
Images50%Forensic signals — EXIF metadata, sensor noise, compression artifacts
Audio46%Spectral analysis — FFT, MFCC computation, AI signature detection
VideoIn ProgressTemporal patterns, encoding signatures, deepfake detection

Key Features
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Privacy-First — No data ever leaves your network. HIPAA, SOC2, PCI compliant by design.
  • Self-Hosted — Docker, Kubernetes, or bare metal. Your infrastructure, your rules
  • Blazing Fast — Sub-10ms response times. Pure Go, zero external dependencies
  • Multi-Modal — Text, images, audio, and video detection in a single API
  • Open Source — MIT licensed. Audit the code yourself

Quick Start
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docker run -d \
  --name manuscript \
  -p 8080:8080 \
  --restart unless-stopped \
  manuscript/manuscript:latest

Then verify content:

curl -X POST http://localhost:8080/verify \
  -H "Content-Type: application/json" \
  -d '{"text": "Your content to analyze..."}'

Built For
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  • Healthcare — HIPAA compliance requires data stays on-premise
  • Legal — Attorney-client privilege demands zero external calls
  • Finance — SOC2/PCI requirements for content verification
  • Government — Air-gapped network compatible
  • Education — No per-seat licensing, unlimited scale

Tech Stack
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Go Docker Kubernetes REST API