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Unstructured: Turn Messy Documents into LLM-Ready Data
Open-source ETL that converts PDFs, emails, and images into clean structured formats. Skip weeks of custom parsing.
Unstructured-IO/unstructured ↗You have PDFs, scanned invoices, email threads, images with text. You want to feed them into an LLM or your RAG pipeline. The problem: documents are messy. Tables break mid-page. Headers repeat. Images contain text that needs extraction. You end up writing custom parsers and losing weeks.
Unstructured is an open-source ETL tool that handles this automatically. It reads your documents, identifies structure (tables, headers, body text), and outputs clean JSON or markdown designed for language models. No custom code per document type. One API call, structured data out. If you're building a document processing product, ingesting customer contracts, or chaining PDFs into an LLM, this saves the parsing work.
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Unstructured: Document parsing that actually works
Convert PDFs, emails, and images into LLM-ready structured data with one API. Open-source, production-ready, and built for builders shipping RAG systems and document processing workflows.
You're building RAG. Your data is PDFs, emails, scanned docs. You don't want to write a parser for each format. Unstructured handles the ETL: reads messy documents, outputs clean JSON/markdown for your LLM. Open-source. One API. Try it today.
Document parsing kills shipping velocity. PDFs don't cooperate. Tables break. Scans need OCR. We're tracking Unstructured, an open-source ETL that converts documents into LLM-ready structured data. Built for teams ingesting complex formats at scale. Worth a test if you're processing docs at production volume.
just shipped a doc parsing pipeline that actually works. most teams waste weeks building custom PDF extractors. Unstructured does it in one API call, outputs clean JSON or markdown for your LLM, handles PDFs, emails, images, the whole stack. open-source, production-tested, solves the RAG bottleneck that nobody talks about until they're drowning in messy document chunks. if you're building anything that ingests documents, this saves you a month of engineering work. https://github.com/Unstructured-IO/unstructured
document parsing is the unsexy job that kills RAG projects. PDF in, garbage out, LLM hallucinates. Unstructured flips it: unified API, structured output, handles PDFs/emails/images in one step. open-source. production-ready. https://github.com/Unstructured-IO/unstructured