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Structuring information: document annotation at the service of AI
CASE STUDY

Structuring information: document annotation at the service of AI

Written by
Daniella
+40%

increased entity extraction speed

÷ 3

reduced need for manual validation

+15 km

documents annotated in 3 months

Sommaire

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In the legal, financial and administrative sectors, the ability to automate the extraction of critical information from documents is a major challenge to accelerate workflows.

The mission

Build a learning dataset to extract key entities (names, amounts, amounts, dates, addresses) from semi-structured documents (contracts, invoices, reports).

Innovatiana has implemented a suitable annotation solution, including:

  • Manual identification and classification of relevant areas and entities in documents;
  • Annotating various examples to cover the diversity of formats and writing styles.

The results

  • Robust training datasets for efficient information extraction (IE) models;
  • More reliable automation of document processing and indexing;
  • A significant gain in productivity for teams dealing with large volumes of documents.

👉 Read the full study : Learn how document annotation accelerates the automation of information extraction.
Daniella

Published on

12/6/2025

Daniella

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