pdfops 0.4.0

Fast PDF operations with JSON output for AI agents: CLI, MCP server and library
Documentation
65x 78x 10x 7 ms
faster than pdftoppm at rendering 20 pages faster than PyMuPDF at reading the tables of 50 pages faster than pdftotext at the text of 308 pages to open a file and say what is in it

One document on one machine, start-up included. Every row, the one pdfops loses too, is in the benchmarks.

Why pdfops

  • Built for agents. Every command returns one JSON document, errors say what to do next, and text can be read under a character budget with a resume point.
  • Everything in one place. Reading, layout, tables, OCR, rendering, page surgery, stamping, redaction, annotations, signatures, forms, encryption, inspection and creation: 31 tools behind one schema.
  • Nothing to set up. A single binary with no PDF libraries, no Python and no runtime. Only OCR needs an extra program, and pdfops can fetch the language data itself.
  • Fast. Files open in milliseconds whatever their size, and page work runs on all cores. See the benchmarks.
  • Redaction you can trust. Content is deleted from the page, not covered, and the result is checked by a second interpreter before anything is written.
  • Safe on files you did not write. Every command runs under a memory cap and a time limit, the MCP server runs each call in a process of its own and can be confined to one directory, and every command is exercised against a corpus of 988 hostile and malformed PDFs in CI.
  • Knows what a file is up to. scan reports scripts, actions that fire by themselves, attached programs, disguised names and text that is extracted but cannot be seen, the carrier of prompt injection. sanitize removes the active content and proves it by scanning the result.

Quick start

As an MCP server, with nothing installed beforehand:

Install in Cursor Install in VS Code

Client How
Claude Code claude mcp add pdfops -- npx -y pdfops-cli mcp
Codex codex mcp add pdfops -- npx -y pdfops-cli mcp
VS Code code --add-mcp '{"name":"pdfops","command":"npx","args":["-y","pdfops-cli","mcp"]}'
Cursor the JSON below in ~/.cursor/mcp.json
Claude Desktop the JSON below in claude_desktop_config.json (Settings, Developer, Edit Config)
Windsurf the JSON below in ~/.codeium/windsurf/mcp_config.json
{
  "mcpServers": {
    "pdfops": { "command": "npx", "args": ["-y", "pdfops-cli", "mcp"] }
  }
}

Tools are named pdf_info, pdf_text, pdf_redact and so on, and take the same arguments as the CLI. Relative paths resolve against the server's working directory.

To keep an agent inside one folder, add --root: every path outside it is refused, including paths that arrive inside a document, and relative paths resolve against it.

{ "command": "npx", "args": ["-y", "pdfops-cli", "mcp", "--root", "/home/me/documents"] }

Install

Method Command Needs
npm npm install -g pdfops-cli or npx pdfops-cli Node 18+
Prebuilt, via cargo cargo binstall pdfops cargo-binstall
From source cargo install pdfops Rust 1.92+
Docker docker run --rm -i -v "$PWD:/work" ghcr.io/kayzedd/pdfops mcp --root /work Docker
Manual download an archive and put pdfops on your PATH nothing

The npm package is called pdfops-cli and installs the pdfops command. It is a small launcher: on first run it downloads the binary for your platform from the GitHub release, checks it against the published SHA-256 sum and caches it. Prebuilt binaries cover Linux (glibc and musl) and macOS on x86-64 and ARM64, and Windows on x86-64. The Docker image is Alpine with pdfops and tesseract with English; add -v for the folder to work in.

OCR additionally needs the tesseract program; nothing else does. Language data is fetched on request, without administrator rights:

pdfops ocr-langs                     # is tesseract there, which languages can be used
pdfops ocr-install --lang pol+eng    # download language data into the user's data directory
pdfops ocr-install --engine          # install tesseract itself where that needs no password

Tools

Command What it does
Read info Page count, page size, metadata, encryption, outline and form summary
text Text page by page, with a character budget and optional OCR fallback
search Find text or a regex, returns pages and snippets
layout Bounding box, font and size of every line or word
tables Tables as rows of cells, Markdown or CSV
outline Bookmarks with target pages
annotations Highlights, comments, links and other markup, with positions
signatures Digital signatures: who signed, and whether the document changed since
render Pages to PNG, to look at charts, scans and layout
images The images drawn on pages, as files
ocr Recognised text of scanned pages, optionally written into a searchable copy
scan Scripts, automatic actions, attachments, disguised content and hidden text, by severity
Build create A new PDF from Markdown
merge Several PDFs into one
pages Keep, reorder, duplicate or delete pages
split Split by page count or by ranges
Edit rotate Rotate pages by multiples of 90 degrees
stamp Watermark, header, footer, page numbers, an image such as a signature, or a QR code
annotate Add a highlight, underline, strike-out, box, note or link
replace Replace text in place, in the document's own font where possible
redact Remove text, images and drawings in areas or matching text, then verify
set-meta Title, author, subject, keywords, creator
compress Shrink: lossless by default, optionally re-encoding and downscaling images
Forms forms Fields with their types, values and options
fill Fill fields by name
Protect encrypt AES-256 passwords and permissions
decrypt Remove password protection
sign Sign digitally with a certificate, keeping earlier signatures valid
sanitize Remove scripts, risky actions, attachments, XFA and media, then verify by scanning
Setup ocr-langs Whether tesseract is installed and which languages are usable
ocr-install Download OCR language data, optionally install tesseract

Run pdfops <command> --help for the options of each.

Examples

$ pdfops info manual.pdf
{"encrypted":false,"file":"manual.pdf","form_fields":0,
 "metadata":{"created":"2026-06-30T09:07:46+00:00","producer":"GPL Ghostscript 10.07.1"},
 "outline_entries":645,"page_size_pt":{"height":792.0,"width":595.0},"pages":357,"pdf_version":"1.3",
 "size_bytes":1386723,"uniform_page_size":true}

$ pdfops search manual.pdf "calling convention" --max-results 1 --context 40
{"file":"manual.pdf","matches":[{"match":"Calling Convention","page":12,
 "snippet":"... 10.5.1 The Pascal Calling Convention ..."}],"query":"calling convention",
 "total_matches":17,"unreadable_pages":[]}

Reading:

pdfops text manual.pdf --pages 12- --max-chars 4000     # resume_at_page says where to continue
pdfops text scan.pdf --ocr --ocr-lang pol+eng           # OCR only the pages that have no text
pdfops tables report.pdf --pages 4 --format markdown
pdfops layout report.pdf --pages 4 --level words        # bbox, font and size per word
pdfops render report.pdf --pages 1-3 --dpi 150 -o out/  # look at charts and layout
pdfops --stream ocr scan.pdf --lang pol                 # a line per page as it finishes
pdfops ocr scan.pdf --lang pol -o searchable.pdf        # the same file, with text to search
pdfops images report.pdf -o images/

Building and page work:

pdfops create notes.md -o notes.pdf
pdfops merge a.pdf b.pdf -o merged.pdf
pdfops pages in.pdf --keep "3,1,5-" -o out.pdf
pdfops split in.pdf --every 10 -o parts/

Editing:

pdfops stamp in.pdf --text "Confidential · {page}/{pages}" --position footer -o out.pdf
pdfops stamp in.pdf --image signature.png --x 380 --y 690 --width 140 --pages last -o out.pdf
pdfops stamp in.pdf --qr "https://example.com/doc/42" --anchor bottom-right -o out.pdf
pdfops redact in.pdf --text "Jan Kowalski" --text "\d{11}" --regex -o redacted.pdf
pdfops redact in.pdf --rect "2:100,200,300,220" -o redacted.pdf
pdfops replace in.pdf --find "2025" --with "2026" -o out.pdf
pdfops replace in.pdf --find "2025" --with "2026" --dry-run -o out.pdf   # the plan, nothing written
pdfops compress in.pdf --max-image-edge 1600 --image-quality 70 -o small.pdf

Forms and protection:

pdfops forms form.pdf
pdfops fill form.pdf --set name="Ada Lovelace" --set agree=true -o filled.pdf
pdfops encrypt in.pdf --owner-password secret --deny-copy -o locked.pdf
pdfops sign in.pdf --p12 identity.p12 --p12-password secret --reason "Approved" -o signed.pdf
pdfops sign in.pdf --cert me.crt --key me.key --visible "1:360,700,560,760" -o signed.pdf
pdfops signatures signed.pdf                            # valid, unchanged, who and when
pdfops signatures signed.pdf --trust company-root.pem   # and whether the signer is one of yours
pdfops sign in.pdf --p12 identity.p12 --tsa http://timestamp.digicert.com -o signed.pdf
pdfops scan inbox/offer.pdf                             # what is in it, before reading it
pdfops sanitize inbox/offer.pdf -o offer-clean.pdf      # scripts, actions, attachments removed

Markup:

pdfops annotate in.pdf --text "liability" --comment "check with legal" -o marked.pdf
pdfops annotate in.pdf --kind link --rect "1:72,50,300,70" --url https://example.com -o out.pdf
pdfops annotations marked.pdf

Conventions

  • Output. Every command prints one JSON document on stdout. Errors go to stderr as {"error": "..."} with exit status 1. Add --pretty to indent.
  • Progress. With --stream, ocr, text --ocr, render, images, split, redact and replace print one line of JSON per finished page or file, {"event":"progress","step":"render","done":7,"total":20,"page":12,...}, and the usual result as the last line. Pages are worked on in parallel, so events come in the order the work finishes; each names its page and done rises by one per line. Over MCP the same events arrive as notifications/progress when the call carries a progress token.
  • Writing. Commands that write take -o. It may be the input file: output goes through a temporary file.
  • Pages are 1-based and comma separated: 3, 2-5, 7- (to the end), -4 (from the start), 5-2 (descending), last, odd, even, all.
  • Positions are in points with the origin at the top-left corner of the page as displayed, y growing downwards. layout reports them, stamp --x/--y and redact --rect accept them, and a pixel of render --dpi 72 is exactly one point.

How it compares

pdfops PyMuPDF pypdf pdfplumber qpdf poppler-utils
Text extraction ✓ ✓ ✓ ✓ – ✓
Word positions and fonts ✓ ✓ – ✓ – positions
Tables ✓ ✓ – ✓ – –
Render pages ✓ ✓ – ✓ – ✓
OCR ✓ ✓ – – – –
Merge, split, reorder, rotate ✓ ✓ ✓ – ✓ partly
Text, image and QR stamps ✓ ✓ by overlay – by overlay –
Redaction that removes content ✓ ✓ – – – –
Redaction verified before writing ✓ – – – – –
Replace text in place ✓ – – – – –
Fill forms ✓ ✓ ✓ – – –
Encrypt and decrypt ✓ ✓ ✓ – ✓ –
Add and list annotations ✓ ✓ ✓ list – –
Sign digitally ✓ – – – – –
Verify signatures ✓ – – – – ✓
Inspect for active content and hidden text ✓ – – – – –
Remove active content ✓ ✓ – – – –
Memory and time limits per call ✓ – – – – –
Create from Markdown ✓ from HTML – – – –
Built-in MCP server and tool schemas ✓ – – – – –
JSON from every command ✓ library library library partly –
Runtime needed none Python Python Python none none
License MIT AGPL or commercial BSD MIT Apache-2.0 GPL

PyMuPDF is the closest in scope and is an excellent library; it is written in C, needs Python, and its AGPL license matters if you ship it. pdfops trades some breadth for a single MIT-licensed binary whose tools an agent can call directly.

Benchmarks

Best of 3 whole-process runs, start-up included, since that is what one tool call costs an agent. Document: the NASM 2.16 manual, 308 pages and 1.2 MB; images on a 352 page, 2.6 MB book with pictures; forms on a one page form. Machine: 8 core AMD Ryzen 7 9800X3D, Windows 11. Versions: poppler 25.07, qpdf 12.4, PyMuPDF 1.28, pypdf 6.19, pdfplumber 0.11, pyHanko 0.37 (CLI 0.5), tesseract 5.5. The fastest entry of each row is bold; n/a marks a tool that was installed and did not complete the task. PyMuPDF's entry for sanitize is its scrub.

Task pdfops command line tool PyMuPDF pypdf pdfplumber
text, all pages 53 ms pdftotext 540 ms 297 ms 1273 ms 11.3 s
tables, 50 pages 20 ms - 1558 ms - 1629 ms
render, 20 pages at 150 dpi 41 ms pdftoppm 2677 ms 593 ms - -
ocr, one page 1087 ms tesseract 759 ms - - -
merge, three copies 57 ms qpdf 204 ms 401 ms 2037 ms -
split, one file per page 156 ms pdfseparate 46.0 s 437 ms 2513 ms -
redact, a word on every page 564 ms - 1926 ms - -
sign, RSA-2048 23 ms pyhanko 615 ms - - -
Task pdfops command line tool PyMuPDF pypdf pdfplumber
info 7 ms pdfinfo 12 ms 129 ms 203 ms 222 ms
text, all pages 53 ms pdftotext 540 ms 297 ms 1273 ms 11.3 s
search, all pages 53 ms - 326 ms - -
layout, every word with its box 194 ms - 346 ms - 10.9 s
tables, 50 pages 20 ms - 1558 ms - 1629 ms
outline 15 ms - 128 ms 221 ms -
render, 20 pages at 150 dpi 41 ms pdftoppm 2677 ms 593 ms - -
ocr, one page 1087 ms tesseract 759 ms - - -
images, all embedded images 230 ms pdfimages 5621 ms 1297 ms 1553 ms -
create, 100 sections of Markdown 12 ms - - - -
merge, three copies 57 ms qpdf 204 ms 401 ms 2037 ms -
pages, keep 10 17 ms qpdf 138 ms 138 ms 285 ms -
split, one file per page 156 ms pdfseparate 46.0 s 437 ms 2513 ms -
rotate, all pages 20 ms qpdf 144 ms 147 ms 769 ms -
stamp, text on every page 21 ms - 279 ms - -
stamp, QR code on every page 121 ms - - - -
annotations, list 18 ms - 227 ms - 309 ms
annotate, highlight a word on every page 291 ms - 700 ms - -
redact, a word on every page 564 ms - 1926 ms - -
replace, a word on every page 575 ms - - - -
scan, structure and hidden text 232 ms - - - -
scan, structure only 16 ms - - - -
sanitize 32 ms - 2072 ms - -
set-meta 19 ms - 140 ms 771 ms -
compress 31 ms qpdf 179 ms 378 ms - -
encrypt, AES-256 25 ms qpdf 174 ms 150 ms 825 ms -
decrypt 38 ms qpdf 170 ms 158 ms 875 ms -
sign, RSA-2048 23 ms pyhanko 615 ms - - -
signatures, verify 16 ms pdfsig n/a - - -
forms, list fields 7 ms - 121 ms 169 ms -
fill, one field 9 ms - 130 ms 198 ms -

Reproduce with scripts/bench.py on any document.

Why it is fast: info, layout, tables, render, images and ocr read objects on demand, so opening a file costs a few milliseconds whatever its size. Text extraction, layout, tables, rendering, splitting, image export and OCR run on all cores. Page operations copy only the objects the selected pages reach, so output size and time follow the selection, not the source.

Using it without MCP

pdfops tools prints [{"name", "description", "inputSchema"}] for every command. Pass these to any function calling API, then run the call through the CLI or the library.

let result = pdfops::tools::call(
    "pdf_text",
    serde_json::json!({"input": "report.pdf", "pages": "1-3"}),
)?;

Typed entry points live in pdfops::ops, for example pdfops::ops::read::text(TextArgs { .. }).

Behaviour worth knowing

pdfops <command> --help has the detail for each command.

  • Any script. Text that stamp, fill, replace, create and ocr -o draw is shaped and embedded as font subsets; where no one font has every character, several share the text. Hebrew and Arabic are laid out from the right, Indic scripts and Thai are formed into their clusters, and all of it reads back as it was written, so a word is found by typing it.
  • Replace writes in the document's own font where it has the glyphs and moves the rest of the line along; values of text fields and comments of annotations are changed too. A line that grows past its column passes its last words on to the next line, or is drawn narrower where it cannot. In a table all of this stays within the cell.
  • Dry run. redact, replace, annotate and stamp take --dry-run: all the work, nothing written.
  • Scan reports scripts, actions, attachments, disguised content and hidden text by severity, and with --clamav what ClamAV's signatures recognise, where that is installed. Sanitize removes the active content and scans the result before writing it.
  • Signatures. sign appends, so earlier signatures stay valid. It can show the signature on a page (--visible) and embed a timestamp authority's statement of the time (--tsa). signatures checks that the bytes are unchanged and who signed; with --trust it checks the signer's chain against certificates you name, and with --revocation their revocation lists. Any other change to a signed PDF invalidates its signatures, as it must.
  • Merging and page work keep bookmarks and links that lead to pages in the output, and rename the form fields of later inputs doc2.<name> so equal names do not share a value.
  • Damaged files are repaired for reading and rebuilt for writing, encrypted ones too; the result then carries repaired_inputs. Protected files stay protected when edited; only decrypt removes the protection.

Limits

  • Tables without ruling lines are inferred from how their text lines up, and say so (detected_by: alignment). An inference deserves a look.
  • Replace draws a line no narrower than 70% of its width. What a replacement still runs over by is in overflow_pt, and --dry-run shows it before anything is written.
  • Create follows the styling of HTML for how text looks: colour, background, bold, italic, underline, strike-through, size and alignment, from style attributes and <style> rules that go by tag, class and id. Layout is not read: no boxes, floats or grids.
  • OCR is tesseract's, in quality and in languages.
  • Scan is not a verdict: it never calls a file safe, and lists what it did not check.
  • Resources. A command may use 4 GiB and 300 seconds by default: --max-memory, --timeout, or PDFOPS_MAX_MEMORY and PDFOPS_TIMEOUT; 0 lifts a limit. Rasters are capped at 64 megapixels.

Development

cargo test                                # under a second; fixtures are generated in memory
cargo test -- --ignored                   # OCR test, needs tesseract with a language pack
cargo clippy --all-targets -- -D warnings
cargo fmt --check
scripts/bench.py --help                   # regenerate the benchmark table
scripts/demo.py --help                    # record the session at the top again

Built on lopdf (object model), hayro (text, rendering, positions and image decoding), rustybuzz (text shaping), subsetter (font embedding) and pulldown-cmark (Markdown).

Contributing

Bug reports are most useful with the file that shows the problem, or the smallest one that still does. Pull requests need cargo fmt --check, cargo clippy --all-targets -- -D warnings and cargo test to pass, and a test for what they change: a fix comes with a test that fails without it.

License

MIT