Input
Representative PDF batch
The buyer supplies one or several representative patent PDFs and defines which output fields matter most.
Case study
Patent PDF structure extraction example
This public case-study format shows how a chemistry-heavy patent PDF batch turns into structured chemistry rows without exposing the underlying patents or internal extraction stack.
Output fields
Rows, chemistry fields, and evidence traces
- Record labels
- Structure-linked fields where present
- Normalized or text-forward chemistry names
- Evidence notes such as assay-linked rows
Why it matters
Review-ready chemistry data
The output is designed for downstream review workflows rather than leaving the user with screenshots or raw OCR text.
Representative output rows
| Label | Structure field | Name field | Evidence note |
|---|---|---|---|
| Record A | Redacted | Normalized name available | Assay-linked note tied to source context |
| Record B | Redacted | Series alias captured | Bioactivity cue retained for review |
| Record C | Not exposed | Text-forward chemical description | Manual review recommended |
Workflow
- Scope the representative documents and desired fields.
- Run extraction on the narrowed PDF set.
- Return row-level outputs for QC and downstream use.
Public proof
Pair this page with the benchmark page so the reader sees both the output schema and the aggregated performance metrics.
Related page
Link directly to the sample-output page when a buyer wants to compare table shape before starting a pilot.