Nutrient document processing

Skill khanhhuyenngo985-sys/character-scene-design-skills/skills/.archive/content-social/nutrient-document-processing

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Install

npx -y skills add khanhhuyenngo985-sys/character-scene-design-skills --skill nutrient-document-processing

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What its author says it does

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Process, convert, OCR, extract, redact, sign, and fill documents using the Nutrient DWS API. Works with PDFs, DOCX, XLSX, PPTX, HTML, and images.

SKILL.md

5.8 KB, ~1.6k tokens by cl100k_base, as published. Nobody here has run it

Nutrient Document Processing

Note: This skill integrates with the Nutrient commercial API. Review their terms before use.

Process documents with the Nutrient DWS Processor API. Convert formats, extract text and tables, OCR scanned documents, redact PII, add watermarks, digitally sign, and fill PDF forms.

Setup

Get a free API key at nutrient.io

export NUTRIENT_API_KEY="pdf_live_..."

All requests go to https://api.nutrient.io/build as multipart POST with an instructions JSON field.

Operations

Convert Documents

# DOCX to PDF
curl -X POST https://api.nutrient.io/build \
  -H "Authorization: Bearer $NUTRIENT_API_KEY" \
  -F "[email protected]" \
  -F 'instructions={"parts":[{"file":"document.docx"}]}' \
  -o output.pdf

# PDF to DOCX
curl -X POST https://api.nutrient.io/build \
  -H "Authorization: Bearer $NUTRIENT_API_KEY" \
  -F "[email protected]" \
  -F 'instructions={"parts":[{"file":"document.pdf"}],"output":{"type":"docx"}}' \
  -o output.docx

# HTML to PDF
curl -X POST https://api.nutrient.io/build \
  -H "Authorization: Bearer $NUTRIENT_API_KEY" \
  -F "[email protected]" \
  -F 'instructions={"parts":[{"html":"index.html"}]}' \
  -o output.pdf

Supported inputs: PDF, DOCX, XLSX, PPTX, DOC, XLS, PPT, PPS, PPSX, ODT, RTF, HTML, JPG, PNG, TIFF, HEIC, GIF, WebP, SVG, TGA, EPS.

Extract Text and Data

# Extract plain text
curl -X POST https://api.nutrient.io/build \
  -H "Authorization: Bearer $NUTRIENT_API_KEY" \
  -F "[email protected]" \
  -F 'instructions={"parts":[{"file":"document.pdf"}],"output":{"type":"text"}}' \
  -o output.txt

# Extract tables as Excel
curl -X POST https://api.nutrient.io/build \
  -H "Authorization: Bearer $NUTRIENT_API_KEY" \
  -F "[email protected]" \
  -F 'instructions={"parts":[{"file":"document.pdf"}],"output":{"type":"xlsx"}}' \
  -o tables.xlsx

OCR Scanned Documents

# OCR to searchable PDF (supports 100+ languages)
curl -X POST https://api.nutrient.io/build \
  -H "Authorization: Bearer $NUTRIENT_API_KEY" \
  -F "[email protected]" \
  -F 'instructions={"parts":[{"file":"scanned.pdf"}],"actions":[{"type":"ocr","language":"english"}]}' \
  -o searchable.pdf

Languages: Supports 100+ languages via ISO 639-2 codes (e.g., eng, deu, fra, spa, jpn, kor, chi_sim, chi_tra, ara, hin, rus). Full language names like english or german also work. See the complete OCR language table for all supported codes.

Redact Sensitive Information

# Pattern-based (SSN, email)
curl -X POST https://api.nutrient.io/build \
  -H "Authorization: Bearer $NUTRIENT_API_KEY" \
  -F "[email protected]" \
  -F 'instructions={"parts":[{"file":"document.pdf"}],"actions":[{"type":"redaction","strategy":"preset","strategyOptions":{"preset":"social-security-number"}},{"type":"redaction","strategy":"preset","strategyOptions":{"preset":"email-address"}}]}' \
  -o redacted.pdf

# Regex-based
curl -X POST https://api.nutrient.io/build \
  -H "Authorization: Bearer $NUTRIENT_API_KEY" \
  -F "[email protected]" \
  -F 'instructions={"parts":[{"file":"document.pdf"}],"actions":[{"type":"redaction","strategy":"regex","strategyOptions":{"regex":"\\b[A-Z]{2}\\d{6}\\b"}}]}' \
  -o redacted.pdf

Presets: social-security-number, email-address, credit-card-number, international-phone-number, north-american-phone-number, date, time, url, ipv4, ipv6, mac-address, us-zip-code, vin.

Add Watermarks

curl -X POST https://api.nutrient.io/build \
  -H "Authorization: Bearer $NUTRIENT_API_KEY" \
  -F "[email protected]" \
  -F 'instructions={"parts":[{"file":"document.pdf"}],"actions":[{"type":"watermark","text":"CONFIDENTIAL","fontSize":72,"opacity":0.3,"rotation":-45}]}' \
  -o watermarked.pdf

Digital Signatures

# Self-signed CMS signature
curl -X POST https://api.nutrient.io/build \
  -H "Authorization: Bearer $NUTRIENT_API_KEY" \
  -F "[email protected]" \
  -F 'instructions={"parts":[{"file":"document.pdf"}],"actions":[{"type":"sign","signatureType":"cms"}]}' \
  -o signed.pdf

Fill PDF Forms

curl -X POST https://api.nutrient.io/build \
  -H "Authorization: Bearer $NUTRIENT_API_KEY" \
  -F "[email protected]" \
  -F 'instructions={"parts":[{"file":"form.pdf"}],"actions":[{"type":"fillForm","formFields":{"name":"Jane Smith","email":"[email protected]","date":"2026-02-06"}}]}' \
  -o filled.pdf

MCP Server (Alternative)

For native tool integration, use the MCP server instead of curl:

{
  "mcpServers": {
    "nutrient-dws": {
      "command": "npx",
      "args": ["-y", "@nutrient-sdk/dws-mcp-server"],
      "env": {
        "NUTRIENT_DWS_API_KEY": "YOUR_API_KEY",
        "SANDBOX_PATH": "/path/to/working/directory"
      }
    }
  }
}

When to Use

Converting documents between formats (PDF, DOCX, XLSX, PPTX, HTML, images)
Extracting text, tables, or key-value pairs from PDFs
OCR on scanned documents or images
Redacting PII before sharing documents
Adding watermarks to drafts or confidential documents
Digitally signing contracts or agreements
Filling PDF forms programmatically

Gives 0 of the 12 instructions most docs writing skills give in ~1.6k tokens

Counted across 1,637 of the 3,044 authors here whose files we hold, read 2026-08-06

announce the skill at startin 54 of 1637, across 21 files
convert legacy doc files before editingin 45 of 1637, across 7 files
predict questions readers might askin 42 of 1637, across 3 files
Generate clarifying questions for initial contextin 42 of 1637, across 3 files
Create document scaffold with placeholder textin 42 of 1637, across 3 files
Brainstorm content options for each sectionin 42 of 1637, across 3 files
Test document with fresh context-less instancein 42 of 1637, across 3 files
ask interview questions one at a timein 42 of 1637, across 26 files
include exact file paths in every taskin 42 of 1637, across 15 files
Apply surgical edits during refinementin 41 of 1637, across 2 files
Offer structured workflow or freeformin 40 of 1637, across 1 file
Ask for document meta-contextin 40 of 1637, across 1 file

Grouped from the skills themselves: near-identical wordings counted once, and counted by distinct author, so one author publishing three of these counts once. Length counted with cl100k_base; the agent that loads this file may tokenize it differently.