AI DOCUMENT VERIFICATION

Verify documents with
AI‑powered precision.

DocShield AI examines the visual fingerprint of a document image using a trained deep-learning model, then tells you whether it looks genuine or shows signs of forgery — with a confidence score attached.

Verify a Document How It Works

DOCUMENT ANALYSIS

Upload a document to begin.

Accepted formats: JPG, JPEG, PNG, WEBP. Your file is analyzed and discarded — nothing is stored.

Selected document

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Document analysis

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— Confidence
AI Classification
MobileNetV2
Raw probability
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Unable to analyze the document

Please make sure the API server is running and try again.

PROCESS

Three steps. Seconds, not minutes.

  1. 01

    Upload

    Upload your document image — a scan, a photo, or an export.

  2. 02

    Analyze

    A trained deep-learning model examines the document's visual fingerprint.

  3. 03

    Verify

    Receive a clear classification and a confidence score in return.

UNDER THE HOOD

Built on a focused, well-tested stack.

No unnecessary complexity — a trained image classifier served by a fast, typed API.

  • Model MobileNetV2 A lightweight convolutional network fine-tuned for document image classification.
  • Framework TensorFlow Powers training and inference for the authenticity model.
  • API FastAPI Serves predictions over a typed, validated HTTP interface.
  • Method Image Classification Every document is reduced to a single genuine/forged probability.