pdf-conversion-router

name	pdf-conversion-router
description	Use when converting a PDF into another format such as Markdown, HTML, text, JSON, DOCX, or structured notes and the agent must choose the best extraction route, settings, and cleanup strategy for maxi
category	Document Processing
source	antigravity
tags	["pdf","docx","markdown","ai","agent","llm","document","presentation","image","rag"]
url	https://github.com/sickn33/antigravity-awesome-skills/tree/main/skills/pdf-conversion-router

PDF Conversion Router

Route every PDF conversion through a short analysis step before choosing tools or CLI flags.

The goal is not "extract the most text". The goal is:

• preserve structure
• preserve attachment between labels and values
• choose the most faithful output shape
• avoid noisy defaults when a better route exists

When to Use

• The user wants a PDF converted into another format.
• The requested output is .md, .html, .txt, .json, .docx, or structured notes.
• The PDF may be scanned, OCR-heavy, table-heavy, slide-based, medical, academic, or multi-column.

Core Rule

Never start with one fixed default pipeline.

Always:

1. classify the PDF
2. classify the target output
3. choose the strongest route for that combination
4. validate the result on representative sections
5. if needed, retry with better settings before delivering

Heuristics are starting points, not guarantees.

Do not promote one flag combination into a universal default just because it worked well on one PDF. Prefer document-specific evidence over habit.

Primary Engine Rule

Use opendataloader-pdf as the primary conversion engine for every PDF conversion task by default.

This skill should assume:

• opendataloader-pdf is always the first conversion attempt
• other tools are used to classify, validate, OCR, inspect, or support cleanup
• other extractors are not the default replacement for the main conversion route

Use other tools only for one of these reasons:

• quick classification of the PDF
• OCR preprocessing before conversion
• validation against layout-preserving text
• manual repair when the generated output is still noisy
• fallback only if opendataloader-pdf cannot produce a usable result

Step 1: Classify the Source PDF

Identify the document class as quickly as possible:

• Native digital PDF with selectable text
• OCR PDF with noisy text
• Image-only/scanned PDF
• Slide deck / presentation export
• Medical or lab report
• Table-heavy business/finance document
• Narrative report / letter / article
• Mixed layout document with diagrams, tables, and prose

Useful fast checks:

pdfinfo input.pdf
pdftotext -layout input.pdf -

If text is missing or very poor, treat OCR as required.

Document-Type Heuristics

Use these as default starting points:

• medical / lab report markdown-with-html + --table-method cluster + --image-output off

• slide deck / PowerPoint export markdown-with-html + --image-output off add --table-method cluster only if the default route under-structures important tabular content if tables are visually obvious but missing or badly fused, treat this as a detection problem, not a Markdown formatting problem if the selected route already reconstructs a real table but clips leading characters at column boundaries, treat that as a boundary-splitting defect, not a missing-table failure

• narrative / article / letter start with markdown or text use markdown-with-html only if structure clearly matters

• table-heavy business / finance PDF start with markdown-with-html add --table-method cluster when rows or columns flatten

• scanned / image-heavy PDF OCR first, then convert with opendataloader-pdf

• mixed-layout PDF prefer markdown-with-html validate one easy section and one hard section before accepting output

Step 2: Choose the Output Shape

Pick the output that best matches the document and the user's goal.

• markdown-with-html Use by default when the user wants Markdown and fidelity matters. Prefer this for tables, medical reports, slides, mixed-layout PDFs, and anything likely to break in pure Markdown.

• markdown Use only when clean plain Markdown matters more than layout fidelity.

• html Use when visual structure matters more than LLM readability.

• text Use for quick linear extraction, narrative documents, or when structure is unimportant.

• json Use when downstream machine processing matters more than human readability.

• docx Use when the user wants editable office output and layout reconstruction matters.

Step 3: Choose the Extraction Route

For OpenDataLoader CLI

Use OpenDataLoader as the default route.

Preferred defaults:

• For Markdown output with fidelity priority: -f markdown-with-html

• For medical PDFs: add --table-method cluster

• For table-heavy PDFs: add --table-method cluster

• For slide decks: start without --table-method cluster add it only after a structure check shows meaningful improvement if a pseudo-table is already collapsed inside one detected row, changing only the Markdown flavor usually will not fix it if the active engine build recovers the pseudo-table structure, prefer fixing residual boundary artifacts before escalating to hybrid/full mode

• For conversions where images are not requested: add --image-output off

• For slide decks, medical reports, and structure-sensitive PDFs: prefer validating both the