Enables AI agents to extract structured JSON from invoices and receipts in PDF and image formats using Claude Vision. Supports full document parsing, line item extraction, validation, and batch CSV export with API key or cryptocurrency payment options.
Enables parsing of raw resume text into structured JSON format with organized sections for skills, experience, education, and projects. Uses Google's Gemini AI model to extract and categorize resume information from unstructured text input.
Extracts structured key-value pairs from arbitrary, noisy, or unstructured text using LLMs and provides output in multiple formats (JSON, YAML, TOML) with type safety.
Enables AI agents to extract structured JSON data from web pages using presets or custom JSON schemas, with confidence scores and source snippets, paid per call via USDC on Base.
Provides deterministic, schema-driven structured data extraction from PDF documents via regex/heuristic matching, enabling repeatable, inspectable, and cost-free field extraction without LLM API calls.
Provides deterministic data parsing and enrichment for AI agents, including bank statements, trade history, EDI, PDFs to structured markdown, and atomic enrichment for amounts, dates, and addresses, with strict schema enforcement to prevent hallucinations.
