factcircuit
FactCircuit: an auditable claim-and-evidence verification loop with immutable provenance, staged checks, bounded retrieval, and reproducible evaluation.
Unstract is an open-source, no-code platform purpose-built for extracting data from unstructured documents using LLMs, with high accuracy. Easily deploy API and ETL pipelines for your unstructured dat
DataPython · JavaScriptGitHub @ZipstackOnlineOwner unconfirmed
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LLM-Driven Extraction of Unstructured Data — Built for API Deployments & ETL Pipeline Workflows
Taken from the repository README
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Unstract
Turn Unstructured Documents into Structured Data
Documentation |
Enterprise
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.
⭐ If Unstract helps you, star this repo!
Prompt Studio — Define document extraction schemas with natural language. Docs →
API Deployment — Send a document over REST API, get JSON back. Docs →Read the full README ↗The full README is unavailable right now. Read it at the original link. The saved excerpt is shown below.
Unstract
Turn Unstructured Documents into Structured Data
Documentation |
Enterprise
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.
⭐ If Unstract helps you, star this repo!
Prompt Studio — Define document extraction schemas with natural language. Docs →
API Deployment — Send a document over REST API, get JSON back. Docs →Read the full README ↗