unstract

作者 Zipstack已验证

LLM-Driven Extraction of Unstructured Data — Built for API Deployments & ETL Pipeline Workflows

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Python
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2026/8/23
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⚠️ 第三方软件声明

本 Skill 为第三方开源软件,独立托管于 GitHub。SkillTip 仅为信息目录,不控制或维护底层仓库。所显示的安全检查为自动化且范围有限,安装前请自行审查源码。

阅读服务条款

安装

添加到你的 Claude Code skills 目录:

# Add to your Claude Code skills
git clone https://github.com/Zipstack/unstract

快速入门

使用 unstract 等 Skills 的指南。

安全报告

已验证

上次扫描:—

{
  "status": "PASSED",
  "issues": []
}

README.md

Unstract

Turn Unstructured Documents into Structured Data

Documentation | Enterprise

License Tutorials Uptime Status Docker Pulls Ask DeepWiki CLA assistant

Python Version from PEP 621 TOML uv Vite Bun Biome

pre-commit.ci status Quality Gate Status Code Smells Duplicated Lines (%)

What is Unstract?

Unstract uses LLMs to extract structured JSON from documents — PDFs, images, scans, you name it. Define what you want to extract using natural language prompts, and deploy as an API or ETL pipeline.

Built for teams in finance, insurance, healthcare, KYC/compliance, and much more.

Current State vs. Unstract

TaskWithout UnstractWith Unstract
Schema definitionWrite regex, build templates per vendorWrite a prompt once, handles variations
New document typeDays of developmentMinutes in Prompt Studio
LLM integrationBuild your own pipelinePlug in any provider (OpenAI, Anthropic, Bedrock, Ollama)
DeploymentCustom infrastructure./run-platform.sh or managed cloud
OutputUnstructured text blobsClean JSON, ready for your database

⭐ If Unstract helps you, star this repo!

Star Unstract

✨ Key Features

Prompt Studio — Define document extraction schemas with natural language. Docs →

Prompt Studio

API Deployment — Send a document over REST API, get JSON back. Docs →

API Deployment

ETL Pipeline — Pull documents from a folder, process them, load to your warehouse. Docs →

MCP Server — Connect to AI agents (Claude, etc.) via Model Context Protocol. Docs →

n8n Node — Drop into existing automation workflows. Docs →

🚀 Quickstart (~5 mins)

System Requirements & Prerequisites

  • Linux or macOS (Intel or M-series)
  • Docker & Docker Compose
  • 8 GB RAM minimum
  • Git

Run Locally

# Clone and start
git clone https://github.com/Zipstack/unstract.git
cd unstract
./run-platform.sh

That's it!

📦 Other Deployment Options

Docker Compose

# Pull and run entire Unstract platform with default env config.
./run-platform.sh

# Pull and run docker containers with a specific version tag.
./run-platform.sh -v v0.1.0

# Upgrade existing Unstract platform setup by pulling the latest available version.
./run-platform.sh -u

# Upgrade existing Unstract platform setup by pulling a specific version.
./run-platform.sh -u -v v0.2.0

# Build docker images locally as a specific version tag.
./run-platform.sh -b -v v0.1.0

# Build docker images locally from working branch as `current` version tag.
./run-platform.sh -b -v current

# Display the help information.
./run-platform.sh -h

# Only do setup of environment files.
./run-platform.sh -e

# Only do docker images pull with a specific version tag.
./run-platform.sh -p -v v0.1.0

# Only do docker images pull by building locally with a specific version tag.
./run-platform.sh -p -b -v v0.1.0

# Upgrade existing Unstract platform setup with docker images built locally from working branch as `current` version tag.
./run-platform.sh -u -b -v current

# Pull and run docker containers in detached mode.
./run-platform.sh -d -v v0.1.0

🔐 Backup Encryption Key

[!WARNING] This key encrypts adapter credentials — losing it makes existing adapters inaccessible!

Copy the value of ENCRYPTION_KEY from backend/.env or platform-service/.env to a secure location.

🏗️ Unstract Architecture

┌────────────────────────────────────────────────────────────┐
│                          Unstract                          │
├─────────────┬─────────────┬─────────────┬──────────────────┤
│  Frontend   │   Backend   │   Worker    │ Platform Service │
│  (React)    │  (Django)   │  (Celery)   │   (FastAPI)      │
├─────────────┴─────────────┴─────────────┴──────────────────┤
│                      Cache (Redis)                         │
├────────────────────────────────────────────────────────────┤
│                  Message Queue (RabbitMQ)                  │
├────────────────────────────────────────────────────────────┤
│                   Database (PostgreSQL)                    │
├────────────────────────────────────────────────────────────┤
│  LLM Adapters    │  Vector DBs    │  Text Extractors       │
│  (OpenAI, etc.)  │ (Qdrant, etc.) │  (LLMWhisperer)        │
└────────────────────────────────────────────────────────────┘

Also see architecture.

📄 Document File Formats

CategoryFormats
DocumentsPDF, DOCX, DOC, ODT, TXT, CSV, JSON
SpreadsheetsXLSX, XLS, ODS
PresentationsPPTX, PPT, ODP
ImagesPNG, JPG, JPEG, TIFF, BMP, GIF, WEBP

🔌 Connectors & Adapters

LLM Providers

ProviderStatusProviderStatus
OpenAIAzure OpenAI
OpenAI CompatibleAnthropic Claude
AWS BedrockGoogle Gemini
Ollama (local)Mistral AI
Anyscale

Vector Databases

ProviderStatusProviderStatus
QdrantPinecone
WeaviatePostgreSQL
Milvus

Text Extractors

ProviderStatus
LLMWhisperer
Unstructured.io
LlamaIndex Parse

ETL Sources & Destinations

Sources: AWS S3, MinIO, Google Cloud Storage, Azure Blob, Google Drive, Dropbox, SFTP

Destinations: Snowflake, Amazon Redshift, Google BigQuery, PostgreSQL, MySQL, MariaDB, SQL Server, Oracle

Full Connector List

🛠️ Development

Change Default Credentials

Follow these steps to change the default username and password.

Local Development

# Install pre-commit hooks
./dev-env-cli.sh -p

# Run pre-commit checks
./dev-env-cli.sh -r

Local Development Guide

🏢 Use Cases by Industry

Finance & Banking → | Insurance → | Healthcare → | Income Tax →

☁️ Cloud & Enterprise

For teams that need managed infrastructure, advanced accuracy features, or compliance certifications.

  • LLMChallenge — dual-LLM verification
  • SinglePass & Summarized Extraction — reduce LLM token costs
  • Human-in-the-Loop — review interface with document highlighting
  • SSO & Enterprise RBAC — SAML/OIDC integration with granular role-based access control
  • SOC 2, HIPAA, ISO 27001, GDPR Compliant — third-party audited security certifications
  • Priority Support with SLA — dedicated support team with response time guarantees

Book a Demo

📚 Cookbooks

🤝 Contributing

We welcome contributions! The easiest way to start:

  1. Pick an issue tagged good first issue
  2. Submit a PR

Report Bug → | Request Feature →

👋 Community

Join the LLM-powered document automation community:

Blog LinkedIn Slack X

📊 A Note on Analytics

Unstract integrates Posthog to track minimal usage analytics. Disable by setting REACT_APP_ENABLE_POSTHOG=false in the frontend's .env file.

📜 License

Unstract is released under the AGPL-3.0 License.


Built with ❤️ by Zipstack

Website · Documentation · Pricing

常见问题

What is unstract?

unstract is an open-source ai agents skill for AI coding assistants such as Claude Code, Codex CLI, and ChatGPT, built by Zipstack. LLM-Driven Extraction of Unstructured Data — Built for API Deployments & ETL Pipeline Workflows. It has 7,159 GitHub stars.

Is unstract safe to use?

Yes. unstract passed SkillsLLM's automated security scan — a dependency vulnerability audit plus prompt-injection heuristics — with no high-severity issues. You can read the full report in the Security Report section on this page.

How do I install unstract?

Clone the repository with "git clone https://github.com/Zipstack/unstract" and add it to your Claude Code skills directory (see the Installation section above).

What programming language is unstract written in?

unstract is primarily written in Python. It is open-source under Zipstack on GitHub, so you can review or fork the full source.

Are there alternatives to unstract?

Yes. SkillsLLM lists many other AI Agents skills you can browse and compare side by side. Open the AI Agents category from the badge at the top of this page, or use the Related Skills and comparison links further down to weigh unstract against similar tools.

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