pdf-inspector
pdf-inspector Comparison and Selection: Native Parser, OCR Service, or Hosted Pipeline
Choose a PDF ingestion path by layout quality, OCR need, privacy, latency, cost, and operational burden.
What you will learn
- Trace detection and layout stages
- Run native extraction and OCR safely
- Design provenance checks
Before you start
- Basic Git and command-line usage
- Comfort reading a project README
You can explain the project, run its documented first step, and decide what to verify before adopting it.
Key takeaways
- Document mix determines the best parser.
- Equal fixtures expose layout and OCR trade-offs.
- A stable output contract preserves exit options.
Match the document mix
pdf-inspector is strongest when native text, reading order, tables, and local processing matter. A hosted pipeline may win for broad OCR coverage, while a narrow library can be enough for plain text PDFs.
Use the pinned source evidence, record versions and assumptions, and ask a qualified reviewer to validate the result before adopting it.
Run an equal fixture
Compare text, scanned, mixed, columns, CJK, forms, tables, and broken fonts using the same corpus. Score extraction quality, page provenance, latency, privacy, integration effort, and failure recovery.
Choose an exit path
Keep the original PDF and a normalized output contract so switching engines does not rewrite downstream systems. Document when to route to OCR or human correction.
Use the pinned source evidence, record versions and assumptions, and ask a qualified reviewer to validate the result before adopting it.
Decision guide
| Criterion | Option A | Option B |
|---|---|---|
| Best when | You need predictable behavior and easy auditing | You need adaptive optimization and have reliable telemetry |
| Main risk | May leave performance on the table | Can become difficult to explain or debug |
Implementation steps
- 1
Classify your corpus and constraints.
- 2
Benchmark native and OCR candidates.
- 3
Compare privacy, cost, and operations.
- 4
Document routing and migration triggers.
Copy-ready example
corpus -> native parser | OCR service | hosted pipeline
quality | provenance | latency | privacy | cost
normalized Markdown + fallback policyFrequently asked questions
Is pdf-inspector a full OCR replacement?
No. It provides selective local OCR integration; a hosted or specialized OCR path may still fit difficult documents.
When is a hosted pipeline preferable?
When managed OCR breadth and operations outweigh local control and data-residency requirements.
Sources
- pdf-inspector README (captured 2026-08-31)Source checked 2026-08-31
- pdf-inspector repositorySource checked 2026-08-31