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
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.
Published on
12/6/2025
Daniella
