Nutrient document processing
Skill loulanyue/awesome-claude-notes/skills/nutrient-document-processing
Process, convert, OCR, extract, redact, sign, and fill documents using the Nutrient DWS API. Works with PDFs, DOCX, XLSX, PPTX, HTML, and images.From its SKILL.md
npx -y skills add loulanyue/awesome-claude-notes --skill nutrient-document-processingAssembled from the repository path, not quoted from the project. Check it against their README if it does not work.
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
Links
What ships with it
Read from the repository
Just SKILL.md. No reference files, no scripts.
Gives 0 of the 12 instructions most docs writing skills give in ~1.6k tokens
Counted across 1,951 of the 3,904 authors here whose files we hold, read 2026-09-06
- Use third-person for skill descriptionsin 54 of 1951, across 35 files
- Start descriptions with Use whenin 43 of 1951, across 29 files
- Run baseline scenarios before writing any skillin 40 of 1951, across 26 files
- Use active voicein 40 of 1951, across 36 files
- Map file responsibilities before defining tasksin 36 of 1951, across 29 files
- Use checkbox syntax for tracking stepsin 35 of 1951, across 27 files
- Ask one question at a timein 35 of 1951
- Offer execution options after saving the planin 33 of 1951, across 24 files
- Include complete code in every stepin 33 of 1951, across 27 files
- Design units with clear boundaries and interfacesin 31 of 1951, across 23 files
- Announce the skill usage at the startin 30 of 1951
- Verify agent compliance after adding the skillin 29 of 1951, across 17 files
Said here and by no other author read
- Use ISO 639-2 codes for OCR language selection
- Specify redaction strategies using presets or regex
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.