Visual Forensics & Document Intelligence
for Developers

Add image forgery detection and AI-generated image screening first, then connect specialized OCR and structured extraction when submitted documents need to move through downstream systems.

How Teams Build with TurboLens

Image Authenticity Screening

Add image forgery detection and synthetic-media screening before submitted evidence moves into a business workflow.

Submit document images through REST endpoints
Receive forensic verdicts, suspicious regions, and heatmap references
Route synthetic or locally edited images to the appropriate review path

Specialized OCR & Structured Extraction

Extract fields, tables, and document structure from regional invoices, receipts, IDs, contracts, and forms.

Map outputs to your product schema and naming conventions
Process document variants across issuers, layouts, and languages
Return structured JSON for downstream application logic

One Workflow, Distinct API Signals

Combine authenticity screening and OCR outputs without treating them as the same decision.

Screen image integrity before structured extraction
Keep forensic evidence separate from extracted business fields
Connect results to workflow engines, data stores, and reviewer tools

Two API Families, Structured Outputs

Use visual forensics to screen image authenticity and specialized OCR to extract business fields. Each response remains explicit about its task.

Visual forensics

{
  "analysis_type": "forgery_detection",
  "image_url": "https://example.com/claim.jpg"
}
{
  "result": "forged",
  "review": true,
  "heatmap_url": "https://example.com/result.png"
}

Specialized OCR

{
  "task": "invoice_extraction",
  "file_url": "https://example.com/invoice.pdf",
  "schema_profile": "invoice_core_fields"
}
{
  "document_type": "invoice",
  "fields": {
    "supplier_name": "Atlas Trade Co",
    "invoice_number": "INV-2048",
    "currency": "SGD"
  }
}

Explore Developer Paths

All Features
Visual Forensics Features
Specialized OCR Capabilities
Integration Process
Schema Examples
API and Custom Solutions

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Frequently Asked Questions

The developers hub is for product and engineering teams building image-authenticity screening, specialized OCR, document extraction, and review workflows.

No. Teams can start with representative images or documents, target outputs, and integration goals. TurboLens then aligns endpoints and workflow patterns to the use case.

TurboLens supports image-based uploads for visual forensics and common enterprise inputs such as PDFs, scans, and document images for OCR workflows.

Structured JSON is the standard output. Forensic responses include screening signals and evidence references, while OCR responses contain configured field groupings and nested structures.

Get Started Today

Try DocumentLens for free or contact us for an enterprise solution with dedicated support and custom integrations.

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Submit an inquiry below or email us at support@turbolens.io