How to build a fast overview of a pdf report for stakeholders
- Step 1Open the tool and drop the report — Load the full board report into the PDF Summary Generator. It reads the page count and auto-runs — there's no Generate button and no settings to configure.
- Step 2Read the header statistics first — Note Pages, Word Count, and Estimated Reading Time. If the reading time is alarming, that's a signal the report itself (and your summary) needs tightening.
- Step 3Locate the pages that drive the summary — Scan the
### Page Npreviews for the executive overview, financial statements, KPI dashboard, and risk register. Note the page numbers — these are the sources you'll quote. - Step 4Extract the source text for those pages — Use PDF Extract Pages to pull just those pages, then PDF to Text for clean copy. This keeps your summary grounded in the exact wording.
- Step 5Write the summary yourself (or with your own LLM) — This tool doesn't draft prose. Paste the extracted text into your own local LLM, or write the summary by hand, verifying every figure against the original.
- Step 6Download the overview for your records — Click Download to keep the
.mdoverview alongside your draft as an audit note of the report's size and structure.
What the overview gives you vs. what an executive summary needs
The tool supplies the inputs to a summary; it does not write the summary. Mapping below.
| Executive summary element | Does this tool produce it? | How the overview helps |
|---|---|---|
| Length / reading burden | Yes | Word count + 250-wpm reading time quantify how heavy the report is |
| Document map (where sections are) | Yes | Per-page ~200-char previews locate the CEO review, financials, and appendices |
| Key findings / recommendations | No | Not extracted — read the located pages, or use your own LLM on the text |
| Financial figures | No (verbatim only) | Previews may show a figure, but always verify against the source page |
| Narrative prose / tone | No | The output is statistics + literal page openings, never paraphrase |
Report report structure emitted
Exact Markdown from generateSummary() — the shape never varies between documents.
| Line | Example |
|---|---|
| Title | # PDF Summary |
| Pages | **Pages:** 96 |
| Words | **Word Count:** 38,400 |
| Reading time | **Estimated Reading Time:** 154 min |
| Per-page heading | ### Page 12 |
| Per-page snippet | first ~200 chars of page 12 + ... |
| Empty page | (No text content) |
Cookbook
How a report writer uses the deterministic overview as a research step, not a drafting step.
Mapping a board pack before drafting
A 96-page board pack. The overview shows exactly where each section starts so the summary writer can extract only the pages that matter.
# PDF Summary **Pages:** 96 **Word Count:** 38,400 **Estimated Reading Time:** 154 min ## Page-by-Page Overview ### Page 3 Chair's Introduction This pack covers Q4 performance and the FY26... ### Page 18 Financial Review Revenue of £142.6m represents 11% year-on-year... ### Page 61 Principal Risks and Uncertainties The Board has reviewed the...
Reading time as a 'too long' signal
If the full report is a four-hour read, the executive summary needs to be ruthless. The estimate makes the case for brevity quantitative.
**Pages:** 96 **Word Count:** 61,000 **Estimated Reading Time:** 244 min → 4+ hours of reading. Your 1-page summary is doing real work — flag the 3 pages execs must read in full.
Pull only the pages that feed the summary
Once the overview tells you the source pages, extract them and convert to text — never summarise from a snippet alone.
Overview says: financials p18-24, risks p61-67. 1. PDF Extract Pages → pages "18-24,61-67" 2. PDF to Text on the extract → clean source copy 3. Verify every figure against the original PDF 4. Draft the summary from verified text
Confidential report stays on your machine
A pre-announcement results report must not be uploaded anywhere. The overview is built locally; nothing leaves the device.
Result panel after run: Local browser processing · 0 bytes uploaded No model sees the figures; the overview is pure client-side extraction + counting.
Turning the overview into prose with your own LLM
The tool deliberately stops at statistics. For an actual draft, feed the extracted text to a local LLM you control.
1. Summary Generator → find key pages 2. PDF to Text on those pages 3. Local LLM prompt: "Draft a 200-word executive summary. List 3 recommendations." 4. Edit and fact-check against the source.
Edge cases and what actually happens
Treating the per-page snippet as a finding
By designEach ### Page N preview is just the literal first ~200 characters of that page — often a heading or a running footer, not the key point. It locates content; it doesn't judge importance. Always open the page (or extract its text) before quoting anything in a summary.
Free tier: board pack exceeds 50 pages
Blocked (free limit)Board packs routinely run past 50 pages, which the free tier blocks at the point you add the file. Pro raises the cap to 500 pages. Alternatively, split the pack with PDF Split and summarise each section under the limit.
A figure in the preview is wrong or rounded
Verify at sourceIf a financial number appears in a 200-character preview, treat it as a pointer, not a citation. Layout quirks and column interleaving can place digits out of context. Open the source page and verify every figure before it enters an executive summary.
Scanned annexes in an otherwise digital report
No text contentMixed reports often have scanned signature pages or photographed exhibits as image-only pages — those show (No text content). The text pages still summarise normally. OCR the scanned pages with PDF OCR if you need their content too.
Expecting a 1-page summary as output
By designThe tool never produces a 1-2 page narrative summary — that's a writing task it doesn't perform. It produces a fixed statistics-and-overview report. Use it to research and locate; write the summary yourself or with your own LLM on the extracted text.
Encrypted results report
May fail to openAn encrypted, password-protected report can't be read by pdf.js. Decrypt it first with PDF Unlock (you must know the password), then summarise the decrypted copy locally.
Word count includes headers and footers
ExpectedRunning headers, page footers, and page numbers are part of the extracted text, so the word count slightly overstates body content. It's fine as a relative density gauge across reports, not as an exact body-text figure.
Very long report, large word count
Supported (paid)A 500-page report (Pro) with a six-figure word count summarises fine — extraction is linear in page count and runs in the browser. The on-screen preview truncates at 5,000 characters, but the downloaded .md contains every page's overview.
Frequently asked questions
Will this write an executive summary for me?
No. It produces a deterministic overview — page count, word count, estimated reading time, and the opening ~200 characters of each page — not a narrative summary or recommendations. Use it to find the pages your summary should draw from, then write the summary yourself or with your own local LLM on the extracted text.
Can I pick an 'executive summary' template or add sections?
No. There are no templates, section toggles, or format options of any kind. The tool drops one PDF and auto-runs, producing a fixed-shape Markdown report. To structure a summary, build that yourself from the located source pages.
Is it safe to use on a confidential, pre-publication report?
Yes. Extraction and the entire overview run in your browser via pdf.js — the panel confirms 'Local browser processing · 0 bytes uploaded'. No AI model sees the document, so nothing is transmitted or stored beyond an anonymous run counter when signed in.
How do I get from this overview to actual prose?
Use the per-page previews to find the key pages, pull them with PDF Extract Pages, convert to clean copy with PDF to Text, then paste that into your own LLM or write the summary by hand — verifying every figure against the original.
Should I verify the numbers shown in the previews?
Always. A figure that appears in a 200-character preview is a locator, not a citation — layout and column order can place digits out of context. Open the source page and confirm every financial figure before it enters an executive summary.
How is the reading time worked out?
Word count divided by 250 words per minute, rounded up. It's a flat assumption that gives a quick sense of how heavy the report is; a dense financial section reads slower in practice.
What's the page limit for a long board report?
Free allows up to 50 pages, Pro up to 500, Pro + Media up to 2,000, Developer up to 10,000. The limit is checked when you add the file. For a longer pack, split it with PDF Split and summarise each part.
Some pages show '(No text content)' — is the report corrupt?
No. Those pages are image-only (scanned signature pages, photographed exhibits) with no text layer. The text pages summarise fine. Run PDF OCR on the report if you need the scanned pages' content too.
Can I summarise a board pack made of several separate PDFs?
Summarise each PDF individually (the tool takes one file at a time) and compile the .md overviews into a single map. Or merge them first with PDF Merge, then summarise the combined file if it's within your tier's page limit.
Why does the word count not match the report's stated length?
The count splits extracted text on whitespace and includes headers, footers, and page numbers, so it won't match an authoring tool's body count. It's a comparative density measure, useful for judging which report is the bigger read.
What does the downloaded file look like?
A Markdown .md file named after your input, containing the header statistics and the full per-page overview. The browser preview is capped at 5,000 characters, but the download is complete.
Can I automate this for a monthly reporting cycle?
On a paid tier, yes — GET /api/v1/tools/pdf-summary-generator returns the schema; pair the @jadapps/runner once and POST each report to 127.0.0.1:9789/v1/tools/pdf-summary-generator/run. The runner builds the overview locally, so confidential reports never leave your machine.
Privacy first
All PDF processing runs locally in your browser using PDF-lib and pdf.js. No file is ever uploaded — only metadata counters are saved for signed-in dashboard stats.