通过1Password CLI,将保存的密码和API密钥用于命令及配置模板,完成安装、认证、秘密值读取,并通过环境变量向命令传递凭据。
- 安装并配置1Password CLI
- 使用已保存的API密钥运行命令
- 向配置模板填入秘密值
用于创建PDF、提取文字和表格、合并或拆分页面,以及创建和填写表单;还提供扫描文档文字识别和现有PDF文字编辑的操作说明。
PDF files: create, read, merge, fill, OCR, edit text.
pdf涵盖PDF创建、内容提取和页面处理。可生成含标题、表格和图片的文档,将现有PDF中的文字或表格导出为JSON或CSV,也支持合并、拆分、旋转页面,添加水印、文字或图片,以及创建和填写表单。此外,还附有从扫描图像识别文字的OCR流程,以及用自然语言编辑现有PDF文字的步骤。
适合将报告或发票制成PDF、复用收到的资料中的表格,或合并多份文档。针对表单,提供布局检查及填写后核验字段值的步骤。
需要Python 3.10或更高版本,以及pypdf、reportlab和pdfplumber。导出图像需要额外工具。受字体影响,日文等语言的表单值可能无法显示;提取表格和将表单字段固化后仍须检查。不支持PDF/A的创建和验证。
本介绍由 AI(OpenAI Codex)根据公开的 SKILL.md 撰写。准确的规格请查看下方原文。
AI 仅根据 SKILL.md 的内容,从 4 个方面进行了评估。星标数和热度不计入评估。
总分按每项 A=25 分、B=15 分、C=5 分相加。 由 AI(OpenAI Codex)于 2026年10月20日 评估。仅供参考,安装前请同时查看原文。
安装前可以查看交给 AI 代理的指令内容。
Create PDFs from structured specs, build and fill AcroForm forms (with layout linting and visual overlays), extract text/tables/metadata, merge/split/rotate/watermark/stamp pages, export page images, manage metadata and attachments, and encrypt/decrypt — using pypdf, reportlab, and pdfplumber. Two absorbed capabilities live in references/ (read the matching file before those tasks):
references/ocr-extraction.mdreferences/nano-pdf-editing.mdreferences/ocr-extraction.md) and NOT for pixel-perfect HTML-to-PDF rendering (use a headless browser).pypdf, reportlab, pdfplumber:
python -m pip install pypdf reportlab pdfplumberpdf_page_image.py, overlay rendering): python -m pip install pypdfium2, or poppler's pdftoppm on PATH. Scripts fall back pypdfium2 → pdftoppm and report {"rendered": false, "missing": [...]} (exit 0) when neither exists.All helpers live in scripts/ and are argparse CLIs — run them with the terminal tool; every one supports --help. They read/write JSON strictly as UTF-8, print JSON results to stdout, and exit non-zero on failure.
python scripts/pdf_create.py spec.json -o out.pdf # build PDF from JSON spec
python scripts/pdf_make_form.py formspec.json -o form.pdf # build fillable AcroForm from JSON spec
python scripts/pdf_form_layout.py formspec.json # lint form layout BEFORE building
python scripts/pdf_form_layout.py formspec.json --render-overlay boxes.png [--pdf form.pdf]
python scripts/pdf_read.py doc.pdf --text # per-page text (JSON)
python scripts/pdf_read.py doc.pdf --tables --csv-dir t/ # tables to JSON + CSV files
python scripts/pdf_read.py doc.pdf --meta # metadata, page sizes, encrypted/scanned flags
python scripts/pdf_read.py form.pdf --fields # form fields: name, type, value
python scripts/pdf_merge.py a.pdf b.pdf -o merged.pdf [--bookmarks]
python scripts/pdf_split.py doc.pdf --pages 1-3,7 -o part.pdf [--rotate 90]
python scripts/pdf_fill_form.py form.pdf --fields-json values.json -o filled.pdf [--flatten]
python scripts/pdf_secure.py doc.pdf --encrypt -o enc.pdf --user-password your-password
python scripts/pdf_secure.py enc.pdf --decrypt -o dec.pdf --password your-password
python scripts/pdf_watermark.py doc.pdf --stamp mark.pdf -o stamped.pdf [--under]
python scripts/pdf_stamp.py doc.pdf -o out.pdf --text "DRAFT" --x 150 --y 400 \
--font-size 60 --rotation 45 --opacity 0.3 --color "#cc0000" [--pages 1-3]
python scripts/pdf_stamp.py doc.pdf -o out.pdf --image sig.png --x 400 --y 60 --width 120
python scripts/pdf_page_image.py doc.pdf --pages 1-3 --dpi 150 --out-dir imgs/
python scripts/pdf_meta.py doc.pdf --set-meta --title "T" --author "A" -o out.pdf
python scripts/pdf_meta.py doc.pdf --attach data.csv -o out.pdf
python scripts/pdf_meta.py doc.pdf --list-attachments | --extract-attachments dir/
| Task | Tool | Command / API |
|---|---|---|
| Create doc (headings, tables, images) | reportlab platypus | pdf_create.py spec.json -o out.pdf |
| Build fillable form | reportlab acroForm | pdf_make_form.py formspec.json -o form.pdf |
| Lint form layout / overlay image | pure python + PIL | pdf_form_layout.py formspec.json [--render-overlay o.png] |
| Per-page text | pdfplumber | pdf_read.py f.pdf --text |
| Tables → JSON/CSV | pdfplumber | pdf_read.py f.pdf --tables |
| Metadata / sizes / encrypted / scanned | pypdf + pdfplumber | pdf_read.py f.pdf --meta |
| Merge (+ outline) | pypdf | pdf_merge.py a.pdf b.pdf -o m.pdf |
| Split / extract / rotate | pypdf | pdf_split.py f.pdf --pages 2-5 --rotate 90 |
| List / fill / flatten form | pypdf | pdf_read.py --fields, pdf_fill_form.py |
| Encrypt / decrypt (AES-256) | pypdf | pdf_secure.py --encrypt/--decrypt |
| Watermark / stamp PDF page | pypdf | pdf_watermark.py f.pdf --stamp w.pdf |
| Stamp text/image at coordinates | reportlab + pypdf | pdf_stamp.py f.pdf --text "Sign here" --x 400 --y 60 |
| Pages → PNG (review / OCR hand-off) | pypdfium2 or pdftoppm | pdf_page_image.py f.pdf --pages 1-3 --out-dir imgs/ |
| Set/clear metadata, attachments | pypdf | pdf_meta.py --set-meta / --attach / --extract-attachments |
| Compress content streams | pypdf | pdf_split.py f.pdf --pages 1-N --compress |
pdf_read.py file.pdf --meta. Check encrypted (if true, decrypt first with pdf_secure.py --decrypt) and likely_scanned_pages. If pages are image-only, export them with pdf_page_image.py --pages <scanned> --dpi 300 --out-dir imgs/ and hand the PNGs to the references/ocr-extraction.md skill — do not report empty text as "no content".write_file (elements: heading, paragraph, table, image, pagebreak; optional title/author metadata; page numbers are added automatically), then run pdf_create.py. Verify visually with vision_analyze on a rendered page image if layout matters.--text gives a JSON list of per-page strings; --tables gives row arrays per page and can also emit CSV files. Read results with read_file; never eyeball a binary PDF directly.pdf_merge.py concatenates and can add one bookmark per source file; pdf_split.py handles page ranges (1-based, e.g. 1-3,5,9-), rotation in 90° steps, and --compress. Watermark by preparing a single-page stamp PDF (e.g. via pdf_create.py) and overlaying it with pdf_watermark.py; for one-liner stamps ("sign here", diagonal DRAFT, corner labels) use pdf_stamp.py with text or an image at explicit coordinates.label_box/entry_box in PDF points — see references/forms.md), lint it with pdf_form_layout.py and fix every reported problem, optionally review the --render-overlay PNG with vision_analyze, then build with pdf_make_form.py and confirm with pdf_read.py --fields.--fields) to learn exact names and types, write a UTF-8 JSON of {"FieldName": "value"} with write_file (checkboxes accept true/false; radio/choice values must match the field's export options), then pdf_fill_form.py. Re-read with --fields to confirm values landed.pdf_meta.py --set-meta writes Title/Author/Subject/Keywords (DocInfo); --clear-meta drops them; --attach/--list-attachments/--extract-attachments round-trip embedded files.--decrypt writes an unencrypted copy.extract_text() plus page images means there is no text layer. Route to references/ocr-extraction.md; do not fabricate text.pdf_fill_form.py --flatten uses pypdf's flatten support, which converts widget appearances into page content. It is reliable for plain text fields and checkboxes but can drop or misrender exotic widgets (rich text, custom appearance streams, some radio groups). Verify the flattened output visually with vision_analyze; for bulletproof flattening use an external renderer (e.g. Ghostscript or pdftoppm+reassembly) as a fallback.NeedAppearances flag so conforming viewers regenerate them; some minimal viewers ignore it — flatten if display fidelity matters.--fields, not just visually.--compress only deflates content streams. Typical savings are 0–20%; it does nothing for PDFs dominated by images or already-compressed streams. It is not a substitute for image downsampling (Ghostscript territory).table_settings tuning or manual cleanup.pypdf's extract_text() or a rendered image instead.radio() widgets per group, fills need the slashed export value ("/red"), and flatten fidelity is worst for radios — see references/forms.md.pdf_meta.py writes the classic DocInfo dictionary only; embedded XMP metadata (if any) is left untouched and may show different values in some viewers.terminal tool (e.g. gs -dPDFA=2 -dPDFACompatibilityPolicy=1 -sColorConversionStrategy=UseDeviceIndependentColor -sDEVICE=pdfwrite -o out.pdf in.pdf with a suitable ICC profile) and validate with veraPDF — both are external installs, and the result still needs validation, not assumption.pdf_read.py out.pdf --meta — confirm page_count, and per-page rotation when you rotated.pdf_form_layout.py spec.json must exit 0; then --render-overlay boxes.png --pdf form.pdf and review the PNG with vision_analyze (red = entry boxes with field names, blue = label boxes) asking about overlaps, misalignment, and labels detached from their fields. Iterate spec → lint → overlay until clean.pdf_read.py form.pdf --fields lists every spec field with the right type and options.pdf_read.py filled.pdf --fields and compare values (exact match, including non-ASCII).pdf_page_image.py and inspect with vision_analyze.pdf_read.py --meta / pdf_meta.py --list-attachments, and re-extract an attachment to byte-compare.--meta shows "encrypted": true and opening without a password fails; after decrypt, text extraction matches the original.vision_analyze.还没有评价。欢迎分享你的使用感受。
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通过1Password CLI,将保存的密码和API密钥用于命令及配置模板,完成安装、认证、秘密值读取,并通过环境变量向命令传递凭据。
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