FeedSummary.com Summary prompts

Long-document summarization

PDF to AI Feed Summary

Turn reports, filings, research papers, and manuals into concise summaries without losing pages, section structure, tables, or extraction quality.

PDF 2.0OCRpage labelstableshierarchical summary

Document routing

PDF processing is page-aware

Inventory the document before choosing extraction methods.

Born-digital text

Recover reading order, columns, headings, paragraphs, lists, footnotes, and page labels.

Scanned pages

Route image-dominant pages through OCR and retain confidence and coverage.

Tables + figures

Preserve headers, units, captions, page references, and visual evidence separately.

Normalized document

A page-block evidence model

Every extracted element should know where it came from and how it was obtained.

pdf-block.json
{
  "block_id": "p17-b04",
  "page_index": 16,
  "page_label": "17",
  "section_path": ["Results"],
  "block_type": "table",
  "extraction_method": "layout",
  "confidence": 0.98
}

Long-document strategy

Summarize hierarchically

Build section records before the document-level synthesis.

Section pass

Chunk along headings and page-aware blocks. Extract claims, methods, findings, limitations, warnings, and evidence IDs for each section.

Keep tables and captions with their labels and units.

Document pass

Synthesize validated section records into an audience-specific overview. Retain page and block references for every important point.

State pages or appendices that were not processed.

Feed Signals

Complete PDF guide

OCR, layout, headings, tables, figures, chunking, verification, revisions, and review.