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Extract structured data from unstructured documents for APIs and ETL workflows.
Copy the install command and let the AI configure it · recommended for beginners
No copy-paste install info for "unstract" yet — see the docs or source repo.
Extract invoice number, vendor, issue date, tax amount, and total amount from these PDF invoices, and return a standardized JSON array. Mark missing fields as null.
A standardized invoice JSON output ready for downstream databases or ETL pipelines.
Read these candidate resumes and extract name, email, phone, education, the latest three work experiences, and core skills into ATS-ready structured data.
Structured candidate profiles with consistent fields for ATS import and screening analysis.
Extract contract ID, parties, effective date, expiration date, payment terms, and liability clauses from contract documents, and format them as API-ready JSON.
Structured contract clause data formatted for system API consumption.
Parse, enrich, chunk, and embed documents into AI-ready structured data.
Classify documents, extract fields, mask PII, and export AI-ready datasets.
Convert messy text into strict, trustworthy JSON schemas for agents.
Extract text and metadata from PDFs via URL or Base64 input.
Extract structured data from academic PDFs with natural-language querying and batch workflows.
Extract PDFs into Markdown, RAG chunks, and cited tables.