Resource guide

PDF tools online

Merge packets, split chapters, compress bundles, convert PDFs to images (and back), rotate pages, and extract text when permitted—all linked from one structured hub.

Choosing the right PDF pass

PDF remains the lingua franca of contracts, board decks, and HR paperwork—even when teams wish everything lived in Notion. When you only need to reorder exhibits, compress an affidavit under an upload limit, or rasterize slide decks for social snippets, a surgical PDF utility beats launching giant desktop suites.

Merge flows suit scanned receipts stitched chronologically; split flows help teachers distribute chapters; compression focuses on email gateways that reject double-digit megabyte payloads. Image conversion bridges designers who need layered PNGs while preserving signatures on flattened exports.

OCR and text extraction appear alongside classic manipulation utilities because accessibility and quoting workflows depend on copyable text. Quality varies with scan DPI and skew—always proof extracted paragraphs against the source page.

Workflows

Browse PDF workflows

Every tool in this guide

Dense A–Z directory for internal linking and quick lookup.

Complete tool index

Alphabetical list of every tool on this hub. Each row links to the dedicated tool page—useful for scanning and site discovery.

About browser PDF utilities

Document-heavy workflows, simplified. Legal admins and educators stack multiple PDF passes—merge, compress, watermark—in one sitting. This hub keeps bookmark-friendly entry points for each pass.

Combine PDF fixes with office file utilities when Word exports need rasterization or downstream OCR cleanup.

Policies & questions: Contact · FAQ.

PDF manipulation questions

Will merging flatten PDF/A archival submissions?
Many merge flows rewrite structure and can invalidate archival subsets. Keep PDF/A exports as the terminal step after content locks; merge working copies first, then run compliance tooling your institution provides.
Digital signatures vanished after compression—why?
Aggressive compression sometimes rebuilds streams without signature dictionaries. Preserve signed packets separately or flatten only unsigned drafts before sending for e-sign.
Why does OCR output weird ligatures from century-old scans?
Historic fonts confuse statistical OCR models. Expect manual cleanup in Word after extraction; raise DPI rescans when ligatures repeat across pages.
Splitting by page ranges versus bookmarks?
Range splitting is deterministic; bookmark-aware splitting requires tools that read outline trees—use whichever linked splitter exposes the mode you need before batching fifty exhibits.
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