Glossary · Clio

What is OCR?

What is OCR? A clear explanation for Azerbaijani business — and how Clio applies it.

Intelligent AI Document Extraction

Modern business operations require more than simple text recognition; they demand the ability to transform unstructured paperwork into actionable intelligence. Our AI-driven document extraction system evolves traditional OCR by converting complex invoices and contracts directly into validated CRM records. By leveraging a vision-based Large Language Model (LLM), the system identifies and extracts critical data fields with extreme precision, ensuring that physical and digital documents are seamlessly integrated into your business workflow. Designed for high-stakes data environments, the platform supports Azerbaijani, Russian, and English, with specialized recognition for regional identifiers like the VÖEN tax ID. The system is engineered for reliability, targeting 99.5% field precision while maintaining a strict zero-tolerance policy for incorrect auto-writes. Through a combination of source-page provenance and deterministic validation, the technology ensures that every piece of data entering your CRM is accurate, traceable, and human-verified.

Capabilities

Key Business Advantages

Seamless conversion of invoices and contracts into structured, validated CRM records

Full multilingual capabilities supporting Azerbaijani, Russian, and English, including VÖEN tax IDs

Elimination of database corruption via deterministic validation hard gates that block bad data

Guaranteed data integrity through duplicate document blocking and mandatory human approval for all writes

Enterprise-grade accuracy targeting 99.5% field precision to enable straight-through processing

Rapid deployment of new document types using schema-based configuration instead of custom code

Advanced Extraction Capabilities

Vision LLM Extraction

Utilizes a vision-based large language model to extract every required field from a document.

Source-Page Provenance

Provides clear traceability by linking extracted data back to its original location on the page.

Confidence Scoring

Assigns a confidence score to extracted data to help users identify fields that require closer inspection.

Schema-Based Configuration

New document types are added via a schema rather than writing new code, ensuring flexibility.

Regional Data Recognition

Specifically designed to recognize regional identifiers, including the VÖEN tax ID.

The Extraction Pipeline

1The system scans the document using a vision LLM to identify and extract text fields.
2Extracted data is assigned a confidence score and mapped to its source-page provenance.
3Data passes through a deterministic validation gate to ensure accuracy.
4Invalid data is blocked from auto-clearing to prevent database corruption.
5A human reviewer approves the final extraction before it is written to the CRM.

Frequently Asked Questions

Which languages does the extraction system support?

The system is fully capable of reading and extracting data from documents in Azerbaijani, Russian, and English.

How does the system ensure that incorrect data is not written to the CRM?

We employ a two-tier safety mechanism: deterministic validation acts as a hard gate to block bad data, and every single CRM write requires final human approval.

What measures are in place to prevent duplicate entries?

The system automatically detects and blocks duplicate documents to maintain a clean and efficient database.

Can the system be adapted for new types of documents?

Yes, the platform is highly flexible; new document types are added via a schema configuration, eliminating the need for additional coding.

How can users verify the accuracy of the extracted fields?

The system provides a confidence score for every field and offers source-page provenance, allowing users to see exactly where the data was found on the original document.

Optimize Your Document Workflow

Experience how our advanced AI turns your invoices and contracts into precise, validated CRM records.

Request a demo