Parser App

The Parser App ingests raw text and emits structured records. It supports loose formats such as logs, invoices, product catalogs, forms, and chat transcripts by extracting defined fields into a consistent schema. Users define or select field templates (schemas) that map input tokens to output fields, or enable automatic field discovery for common data types. Outputs are produced in JSON, CSV, or XML, enabling easy integration into data stores, pipelines, or analytics workloads. It processes large batches efficiently and preserves original text for traceability.

Conceptually, parsing relies on pattern matching, tokenization, and rule-based extraction. The tool supports regex-based rules, delimiter-aware parsing, and optional hierarchical templates for nested records. It can infer data types (numbers, dates, booleans) and coerce values, while validating required fields and rejecting malformed entries. When a string cannot be parsed, it reports the problematic segment with positions and suggests corrective rules. It can operate offline for sensitive data.

Core differentiators include schema templates for common domains, batch processing, and non-destructive preview of results before export. It emphasizes accuracy on noisy inputs, supports custom delimiters, and integrates with code pipelines via a simple API or file I/O. Use cases include extracting customer IDs from transcripts, building catalogs from supplier emails, and converting log lines into analyzable records. The tool prioritizes determinism, auditability, and reproducibility in every parse.