Document AI & digitalization

PDFs in every layout, scanned forms, email bodies. We build pipelines that read them, pull out the fields you need and put them into your spreadsheets or systems. Anything the model isn’t sure about is flagged for a person to check.

The reader

Who it’s for

  • Teams re-typing documents that arrive in a different format from every sender
  • Businesses still running on paper and fax
  • Anyone who tried OCR and gave up because every layout is different

Typical problems

  • Typing errors, and the time spent catching them
  • Backlogs whenever volume spikes
  • Japanese-specific formats: era dates, addresses, units

What we build

  • An intake pipeline from inbox to your system
  • Field definitions and normalization of era dates, addresses and units
  • Regression tests that track extraction accuracy
  • Retries, error queues and a review screen for people

What we don’t do

  • Writing extracted data straight into production with no way to review it

Typical timeline

A prototype in 2–3 weeks, production in 1–2 months.

Related work

A casting platform in Japan2025

Talent-profile PDFs, straight into the database

A pipeline that takes actor-profile PDFs in any layout by email, splits them per person, extracts about 20 fields and registers each profile on the platform.

Outcome
94.7%
field accuracy on the regression test (an 11-profile PDF)