Watch me as I walk through a real‑world workflow that turns five wildly different continuing medical education (CME) certificates into a tidy Excel table (or database‑ready file) in minutes—all powered by Landing AI’s Agentic Document Extraction (ADE).
Code available at https://github.com/landing-ai/helper-…
What you’ll see in this demo
🔍 Visual Playground tour – drag‑and‑drop inspection of Markdown & JSON outputs
🧩 Custom schema creation – standardize any professional‑education doc format
✂️ Rapid schema tweaks – remove prefixes/suffixes from names in seconds
⚙️ Python SDK notebook – batch‑process multiple PDFs & images with just a few lines of code
📊 Automatic tabulation – convert extractions to a Pandas DataFrame → Excel/DB
📈 Credit‑hour analytics – quickly sum hours by category & date range for any learner
Why it matters
Manual tracking of CME (or CPE, CLE, CEU—pick your acronym) is error‑prone and time‑consuming. Agentic Document Extraction lets you:
Digitize at scale – handle nightly document drops with no extra effort.
Stay audit‑ready – structured data means instant reporting.
Save 💵 & ⏱️ – cut administrative overhead and reclaim your team’s time.
Resources
📚 ADE Docs: https://docs.landing.ai/ade/ade‑overview
🐍 Python package: https://github.com/landing‑ai/agentic…
🔍 Visual Playground: https://va.landing.ai/demo/doc-extrac…
💬 Community & support: / discord
