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Volga Partners

Use Cases/Category 03

Document Intelligence

Models that read real documents, not just clean ones. 10,000+ documents in 3 months.

01

Document Layout Annotation

Customer Story 01 · Document Intelligence

The Challenge:

A pioneering AI research team needed to teach its models to read the structure of a page, not just the words. That meant human-labeled titles, headers, tables, captions, and footnotes across real legal and educational documents in English, Chinese, Japanese, Spanish, and more, where two people could easily label the same element differently.

Effective Solution:

Volga's team boxed and labeled every element on each page using twelve layout categories. A different auditor spot-checked every batch before delivery to catch drift, unclear cases were settled as a team, and repeated ambiguities became guideline updates. Labels were exported as structured JSON.

Results:

Every delivery was checked, consistent, and on time, however different the documents were.

About 600 pages labeled every 7-8 days, like clockwork
12 categories applied the same way across legal and educational documents
English, Chinese, Japanese, Spanish, and more, held to one standard
Every batch double-checked by a second reviewer before it left Volga
Mistakes caught before the client ever saw them
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