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Enterprise IDP / OCR Operations

Enterprise IDP / OCR Operations is the eDocify product for high-volume document processing teams. It is closer to an ABBYY-style operations center than a simple accounting portal.

Who it is for​

  • Document centers processing thousands of files per day.
  • Companies replacing expensive enterprise OCR tools.
  • BPO teams that verify documents for many clients.
  • Archives or operations departments that process invoices, logistics documents, IDs, contracts, or freeform files.
  • Organizations that need quality guarantees, SLA reporting, and controlled model changes.

Core idea​

The product separates heavy document operations from simple accounting work. A professional verifier needs more controls, more shortcuts, more telemetry, and more quality tools than a regular accountant.

Supported workflows​

  • batch intake and routing;
  • split and merge of multi-document files;
  • page rotation and preparation;
  • OCR provider selection;
  • region OCR into selected field;
  • line item verification;
  • high-volume queue handling;
  • reviewer locks and conflict handling;
  • four-eyes quality sampling;
  • provider benchmark and accuracy release gates;
  • export or archive after verification.

Verification Workbench​

The Verification Workbench is the main screen for IDP operations.

IDP operations document center

For role-by-role screenshots and menu boundaries, use the IDP / OCR Operations role guide.

Important work modes:

  • Productivity mode: first screen for fast navigation, missing fields, confidence heatmap, next field, accept safe fields, and QA signal.
  • Header mode: document preview plus header fields such as buyer, supplier, invoice number, dates, VAT, totals, IBAN.
  • Lines mode: document preview plus line table, line confidence, line-level approval, row movement, and batch line correction.
  • Focus/full-screen mode: hides surrounding navigation and gives maximum space to document plus fields.
  • Dual monitor mode: planned operational mode where one monitor shows only document preview and another shows fields or line table.

OCR and AI provider strategy​

Enterprise IDP uses multi-engine routing:

  • Azure Document Intelligence for strong invoice structure extraction;
  • Mistral OCR for document OCR and text extraction;
  • OpenAI or Azure OpenAI for structured JSON extraction, verification, and reasoning;
  • Local Tesseract and PaddleOCR for cost-controlled OCR routes;
  • eDocify Rules for deterministic invoice parsing;
  • hybrid BYOK fallback when customer-owned keys should be primary.

Provider routing can be selected per tenant, client group, client, document type, field, or region OCR use case.

Quality Engine​

The Quality Engine turns OCR accuracy into a managed product promise.

IDP quality guarantee

It tracks:

  • critical field accuracy;
  • field-level precision and recall;
  • line item quality;
  • review reasons;
  • provider benchmark;
  • sample size and confidence;
  • QA sampling;
  • SLA and correction time;
  • model, prompt, and rule release risk.

Accuracy Studio​

Accuracy Studio should be used when a new provider, prompt, OCR rule, or field processing version is evaluated. A new version should not be published if it reduces critical field quality.

Recommended release gate:

  • use a golden dataset;
  • run old version and candidate version;
  • compare header fields and line items;
  • inspect regressions by supplier, document type, and field;
  • publish only if quality improves or business tradeoff is approved;
  • keep rollback available.

Team metrics​

Professional OCR teams need productivity and quality metrics:

  • documents per hour;
  • touches per document;
  • fields corrected per minute;
  • first-pass yield;
  • low-confidence rate;
  • rework rate;
  • SLA breach count;
  • documents locked by verifier;
  • QA failed samples;
  • provider cost per document.

Real use cases​

Replacing expensive OCR licensing​

A company currently using a costly form recognition platform can start with Azure teacher extraction, compare local OCR engines, build golden datasets, and gradually route cheaper documents through local OCR plus rules while keeping high-risk documents on premium providers.

Shared service center​

Each business unit has a separate intake route, document type, SLA, verifier queue, and export profile. Team leads see productivity, lock state, exception backlog, and QA sampling results.

Logistics document processing​

The same workbench can support invoices, CMR documents, delivery notes, freight forwarder invoices, and supporting attachments. The document type controls fields, validation, and routing.

What makes this enterprise-grade​

  • reviewer locks with heartbeat;
  • multi-engine benchmark;
  • field-level provenance;
  • line-level verification;
  • controlled model governance;
  • audit trails;
  • SLA dashboards;
  • tenant and role isolation;
  • data residency and BYOK provider choices.