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AI document extraction API

Extract structured data from enterprise documents and deliver it through APIs

Techies Universe converts incoming documents into classified, extracted, summarized, and exception-aware outputs that product and operations teams can consume through API-first workflows.

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Sync and async processingWebhook or pollingTenant-scoped keys
UploadDocumentsProcess PDFs, scans, images, and document bundles for business workflows.
ClassifyTypesIdentify IDs, claims, policies, forms, invoices, and operational records.
ExtractFieldsReturn names, IDs, dates, amounts, addresses, statuses, and custom fields.
DeliverJSONSend structured results to apps, approval tools, data stores, or task queues.
API output categories
  • Document type classification and confidence
  • Structured key-value extraction with source references
  • Reviewer summaries for long or mixed files
  • Exception flags for missing, mismatched, or low-confidence data
  • Request status, trace IDs, and processing metadata
Integration patterns
  • Synchronous processing for smaller workflows
  • Asynchronous processing for larger files and document bundles
  • Webhook callbacks for downstream orchestration
  • Status polling for systems that need controlled retries
  • Sandbox testing before production rollout
Request lifecycle

Four calls from upload to structured results

The same flow works in the sandbox and in production, so integration code does not change when you go live.

  1. 01
    Create requestAuthenticate with a tenant-scoped key and open an analysis.
  2. 02
    Upload bundleSend PDFs, scans, or images, sync or async by size.
  3. 03
    Track statusPoll the analysis or receive a webhook callback.
  4. 04
    Fetch resultsRead fields, confidence, exceptions, and review state.
# 1. submit a document for analysis
POST /document-intelligence/analyze

# 2. check status, or let the webhook call you
GET  /document-intelligence/analyses/{analysis_id}

# 3. record the human decision when review is required
POST /document-intelligence/analyses/{analysis_id}/review
Product

For product teams

Add document intelligence to apps without building every OCR, extraction, classification, and exception workflow from scratch.

Operations

For operations teams

Standardize repetitive document handling and reduce manual rekeying into internal systems.

Governance

For governance teams

Keep output records, source references, access boundaries, and review checkpoints attached to document automation.

01

Sample request flow

Use a predictable flow for both sandbox testing and production integration.

  • Create request
  • Upload document bundle
  • Receive processing status
  • Fetch structured results
02

Response design

Outputs can carry the business fields and operational metadata needed by downstream systems.

  • Extracted fields
  • Confidence signals
  • Source references
  • Exception reasons
03

Production controls

Move from prototype to production with traceability and operational safeguards.

  • Tenant keys
  • Rate limits
  • Retry handling
  • Audit logs
Frequently asked questions
  • Can schemas be customized? Yes. Extraction can be aligned to the fields needed by the target workflow.
  • Can documents be reviewed by humans? Yes. Outputs can be routed to review queues before downstream action.
  • Is this only OCR? No. It includes classification, extraction, summaries, exceptions, and workflow delivery.

Define your extraction schema

Start with the document types, required fields, review rules, and destination systems your workflow needs.

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