$ loading_
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.
Classify documents, extract fields, mask PII, and export AI-ready datasets.
Read and analyze PDF documents for natural language Q&A and extraction.
Locally analyze PDFs and DOCX to extract text, tables, metadata, and keywords.
Parse PDF bank statements into structured data for analysis and automation.
Parse receipts and invoices into structured JSON for automation and analysis.
Process documents with OCR, conversion, extraction, redaction, signing, and form filling.