Document work starts here. Parse, extract, classify, and edit PDFs, images, spreadsheets, and Office documents directly inside Claude Code — powered by Reducto, the agentic document platform.
Reducto is the complete agentic document platform for AI teams that need enterprise performance at scale. It provides a comprehensive toolkit for working with documents the way a human would, orchestrating custom in-house and frontier models to power accurate, efficient document workflows. This plugin brings those capabilities into your Claude Code workflow — so you and your agents can process invoices, contracts, medical records, financial filings, and more without leaving your terminal.
Trusted by leading AI teams at Harvey, Scale AI, Vanta, and others.
- Performance for your workload — zero-shot accuracy on complex documents, balanced against latency and throughput for your use case. A dozen+ models orchestrated under the hood, continuously updated so you don't have to chase the frontier. Handles long-tail complexity (tables, charts, figures, handwriting, scans) without breaking.
- Enterprise-ready — deployable hosted, in your VPC, on-premises, or fully air-gapped. SOC 2 Type II and HIPAA compliant with zero data retention by default. Autoscaling, custom SLAs, and white-glove FDE support for production workloads.
- Complete toolkit — one platform for every document task: parse, classify, split, extract, and edit. Covers 30+ file types — not just PDFs — with agent-ready tooling (CLI, MCP, plugins) and workflows for triggers, human-in-the-loop, and scale.
npx skills add reductoai/claude-pluginsAdd this marketplace to Claude Code:
/plugin marketplace add reductoai/claude-plugins
Then install the plugin:
/plugin install reducto-cli@reducto-plugins
# 1. Authenticate with your Reducto account
uvx --from reducto-cli reducto login
# 2. Parse a PDF into clean Markdown
uvx --from reducto-cli reducto parse document.pdf
# 3. Extract structured JSON from an invoice
uvx --from reducto-cli reducto extract invoice.pdf --schema schema.json
# 4. Fill out a form with natural language
uvx --from reducto-cli reducto edit form.pdf --instructions "Fill in name as 'John Doe'"Transform any supported document into clean, structured Markdown with optional YAML metadata. Parsed output preserves document layout, tables, figures, and semantic structure.
uvx --from reducto-cli reducto parse document.pdf
uvx --from reducto-cli reducto parse ./documents/ # batch process a directoryOptions:
| Flag | Description |
|---|---|
--agentic |
Maximum accuracy mode — uses agentic OCR for tables, text, and figures (slower) |
--change-tracking |
Outputs <s>, <u>, and <change> tags for tracked revisions |
--highlights |
Includes highlighted text in output |
--hyperlinks |
Preserves embedded hyperlinks |
--comments |
Includes document comments and annotations |
# High-accuracy parse with full metadata
uvx --from reducto-cli reducto parse contract.pdf --agentic --change-tracking --commentsOutput files are written as <filename>.parse.md.
Define the data you need using a JSON Schema and Reducto extracts it into typed JSON. The top-level schema type must be object.
uvx --from reducto-cli reducto extract invoice.pdf --schema schema.jsonExample schema for invoice extraction:
{
"type": "object",
"properties": {
"invoice_number": { "type": "string" },
"date": { "type": "string" },
"vendor": {
"type": "object",
"properties": {
"name": { "type": "string" },
"address": { "type": "string" }
}
},
"line_items": {
"type": "array",
"items": {
"type": "object",
"properties": {
"description": { "type": "string" },
"quantity": { "type": "number" },
"unit_price": { "type": "number" },
"total": { "type": "number" }
},
"required": ["description", "quantity", "unit_price", "total"]
}
},
"total": { "type": "number" }
},
"required": ["invoice_number", "line_items", "total"]
}You can also pass schemas inline:
uvx --from reducto-cli reducto extract receipt.pdf --schema '{"type":"object","properties":{"total":{"type":"number"},"date":{"type":"string"}}}'Output files are written as <filename>.extract.json.
Programmatically fill forms, update fields, and modify documents using plain English instructions. Edited files are returned in their original format.
uvx --from reducto-cli reducto edit application.pdf -i "Fill out: Name: Jane Smith, Email: jane@example.com"
uvx --from reducto-cli reducto edit contract.pdf -i "Set the effective date to March 1, 2025 and the client name to Acme Corp"
uvx --from reducto-cli reducto edit ./forms/ -i "Check the 'Approved' box and sign with today's date"Output files are written as <filename>.edited.<ext>.
| Category | Formats |
|---|---|
.pdf |
|
| Images | .png, .jpg, .jpeg |
| Word Documents | .doc, .docx |
| Presentations | .ppt, .pptx |
| Spreadsheets | .xls, .xlsx |
Reducto handles scanned documents, faxes, and handwritten content through its agentic OCR pipeline, and supports a wide range of languages including mixed-language and non-Latin-script documents.
Parse a folder of invoices, extract line items, totals, and vendor info into JSON, then feed the structured data into your accounting pipeline.
uvx --from reducto-cli reducto extract ./invoices/ --schema invoice_schema.jsonConvert legal contracts to Markdown with change tracking enabled, then extract specific clauses, dates, and party names.
uvx --from reducto-cli reducto parse contract.pdf --agentic --change-tracking
uvx --from reducto-cli reducto extract contract.pdf --schema '{"type":"object","properties":{"effective_date":{"type":"string"},"termination_clause":{"type":"string"},"parties":{"type":"array","items":{"type":"string"}}}}'Extract tables and figures from SEC filings, earnings reports, and investor decks with high-accuracy agentic parsing.
uvx --from reducto-cli reducto parse 10-K_filing.pdf --agenticBatch-fill PDF application forms, onboarding packets, or compliance documents using natural language instructions.
uvx --from reducto-cli reducto edit ./onboarding_forms/ -i "Fill in employee name: Alex Chen, start date: 2025-04-01, department: Engineering"Parse documents into structured Markdown optimized for chunking and embedding in retrieval-augmented generation systems.
uvx --from reducto-cli reducto parse ./knowledge_base/ --agenticExtract patient info, diagnoses, and treatment plans from medical documents using a custom schema.
Parse claim forms and supporting documents, then extract policy numbers, incident details, and damage assessments into structured data.
Process documents across a wide range of languages — Reducto handles mixed-language content and non-Latin scripts through its vision-language models.
- Claude Code 1.0.33 or later
- UV (automatically installed by the plugin if not present)
- A Reducto account — sign up at studio.reducto.ai
- Reducto Website — agentic document platform overview
- Documentation — full API reference, guides, and cookbooks
- Studio — web dashboard and interactive playground
- GitHub — SDKs, examples, and open-source tools
- Python SDK — official Python client
- Node.js SDK — official Node.js client
- Status Page — uptime and incident monitoring
- Trust Center — SOC 2 Type II, HIPAA compliance, and security documentation
- Support: support@reducto.ai
MIT