Zipstack/unstract

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ZipstackAGPL-3.0Updated 3mo agoGitHub

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

Turn Unstructured Documents into Structured Data 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. Task | Without Unstract | With Unstract |…

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7kGitHub stars
630Forks
3mo agoLast update
Package
AuthorZipstack
LicenseAGPL-3.0
Sourcegithub
GitHubZipstack/unstract
SBOMCycloneDX 1.6 ↓
Trust Status
B
60/100Good
✓Listed in Forge index+10/10
—Publisher identity verified+0/30
→ Publisher: run `forge publish` from the repo to claim ownership
—Domain verification+0/10
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✓Prompt-injection scan · clean+30/30
✓Obfuscation / exfil scan · clean+20/20
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StatusCommunity-indexed
PublisherUnverified
SignatureUnsigned
Domain—
Provenance—
DependenciesNot audited
Tool surface—
Security scan✓ CleanvHEAD · 3mo agoHow well does this scan work?
EvalsNone
IndexedJun 13, 2026

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About

Turn Unstructured Documents into Structured Data 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. Task | Without Unstract | With Unstract | ------|------------------|---------------| Schema definition | Write regex, build templates per vendor | Write a prompt once,…

Keywords
ai-agentsdata-engineeringdocument-aigenerative-aiidpjson-extractionllmmcp-serverocrpdf-extractionprompt-engineeringstructured-output
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