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TurboLens

API-First Document Processing
for Developers

TurboLens helps engineering teams build document workflows with customizable schemas and integration-ready outputs. This hub outlines how customization works and how to move from sample documents to production rollout.

How Teams Build with TurboLens

API-First Document Ingestion

Send documents from your product flow, batch jobs, or back-office systems to a single API-first pipeline.

Accept PDFs, scans, and document images in one processing flow
Route mixed document sets into the right extraction path
Return structured payloads shaped for downstream systems

Customizable Schema Design

Define the fields, table structures, and output shape your team needs for each document workflow.

Map outputs to your product schema and naming conventions
Handle document variants across issuers, templates, and languages
Tune workflow logic to match enterprise review patterns

Production Integration Patterns

Connect extraction outputs into internal tools, customer-facing features, and operational systems.

Push JSON output into workflow engines and data stores
Use asynchronous job handling for large document sets
Keep implementation flexible as document requirements evolve

Sample Request and Response

Teams typically submit a document URL and target schema, then receive structured output for application workflows.

{
  "document_type": "bill_of_lading",
  "input": {
    "file_url": "https://example.com/docs/bol-001.pdf"
  },
  "schema_profile": "bol_core_fields"
}
{
  "document_type": "bill_of_lading",
  "status": "processed",
  "fields": {
    "shipper_name": "Atlas Trade Co",
    "consignee_name": "Nusa Retail Group",
    "port_of_loading": "Singapore",
    "port_of_discharge": "Jakarta"
  }
}

Explore Developer Paths

Integration Process
Schema Examples
API and Custom Solutions
Document AI for Logistics
Document AI for Insurance

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Frequently Asked Questions

The developers hub is for product and engineering teams that need API-first document processing and customizable extraction workflows.

No. Teams can start with sample documents, target schemas, and integration goals. TurboLens then aligns endpoints and workflow patterns to the use case.

TurboLens supports common enterprise document inputs including PDFs, scanned files, and image-based uploads.

Structured JSON is the standard output format, with field groupings and nested structures aligned to your workflow needs.

Get Started Today

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

Need Enterprise Support?

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