Structured content for an AI learning company
An AI learning company needed clean, structured text from messy source material to power its tutoring models.
The challenge
An AI learning company was building tutoring models that needed high-quality, structured source material. Their inputs were textbooks, worksheets, and scanned notes — exactly the content that generic parsers turn into unusable text.
The approach
Docen handled recognition, layout, and parsing to produce clean, ordered content with equations and tables preserved. The structured output fed directly into their training and retrieval pipelines.
- Parsing and layout to recover clean structure.
- Schema-driven extraction for the fields that mattered.
- Evaluation against a labeled sample before rollout.
The outcome
Better source structure translated into better model behavior downstream, and the team stopped fighting their ingestion layer.
Garbage in, garbage out is real for us. Docen gave us clean structure to build on, which showed up in model quality.— Founding Engineer, AI learning company
Want to see it on your own documents? Open the playground or reach out — we're happy to run a sample with you.