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Parse documents into structured, confidence-scored fields for automated extraction workflows.
Copy the install command and let the AI configure it · recommended for beginners
Please install the "ParseRelay" MCP server from askskill: Run: claude mcp add 'io-github-parserelay-mcp' -- npx -y @parserelay/mcp
Please parse this invoice document and extract the invoice number, issue date, vendor name, tax amount, and total amount, returning a confidence score for each field.
Structured JSON with key invoice fields and confidence scores, ready for accounting or verification.
Parse this resume into structured data and extract the candidate's name, email, phone number, education, work experience, and skill tags, with a confidence score for each result.
A standardized candidate profile with key fields and confidence scores, suitable for ATS import.
Please extract the name, address, ID number, and signature date from this scanned form, organize them into structured fields, and flag any low-confidence items.
Field extraction results ready for review, with low-confidence items flagged for manual verification.
Manage Parseur mailboxes, parsed fields, documents, exports, and webhook workflows.
Classify documents, extract fields, mask PII, and export AI-ready datasets.
Parse, enrich, chunk, and embed documents into AI-ready structured data.
Parse invoices, statements, and contracts from PDF into structured JSON.
Read and analyze PDF documents for natural language Q&A and extraction.
Safely download, extract, and compare tender documents with structured text signals.