CSV to JSON Converter

Purpose & User Intent: This tool provides a reliable CSV to JSON transformation backend for developers, data engineers, and analysts who integrate tabular data into APIs, data lakes, or ETL pipelines. It accepts CSV input via text or file, supports configurable delimiters and optional headers, and outputs JSON suitable for programmatic consumption. Core use cases include data ingestion, API payload preparation, and schema-aligned data exchange.

Core Logic & Features: Required features include robust CSV parsing with delimiter control, quote handling, and UTF-8 encoding support. Outputs can be a JSON array of objects or JSON Lines for streaming pipelines. Advanced options cover type inference, nested object creation via dot-path headers, field filtering, whitespace trimming, and a validation report. The tool supports batch and streaming modes to manage large CSV datasets efficiently.

Inputs & Outputs: Inputs include csv_text or csv_file, delimiter, has_header, encoding, output_format, and pretty_print. Outputs include json_output, record_count, and errors with row and field details. When has_header is true, rows map to objects using header names as keys.

Algorithms & Calculations: The parser follows RFC 4180-like rules for quoting and escaping, builds one object per row, applies type inference unless overridden, and converts header paths with dots into nested JSON structures. Output can be compact or pretty-printed.

Error & Edge Cases: Handles missing headers, inconsistent column counts, malformed quotes, unsupported encodings, and empty or extremely large inputs. Returns structured error data to aid debugging and remediation.

Industry/Region & Localization: Uses UTF-8 as default encoding and supports common CSV dialects. Applicable globally for data interchange and ETL workflows.

Assumptions & Exclusions: Assumes textual CSV input; does not parse XLSX or binary formats. No UI or marketing content is present; focus remains on data transformation behavior and interoperability.