EDIFACT Parser

A specialized tool for developers and data engineers to parse EDIFACT messages into structured data for integration and validation.

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Om dette verktøyet

The EDIFACT Parser provides a programmatic way to ingest UN/EDIFACT messages and produce structured representations suitable for downstream systems. It focuses on EDIFACT grammar, segment hierarchy, and element composition, enabling reliable extraction of data elements and composites. By converting EDIFACT into JSON, CSV, or XML, it supports automated data pipelines and validation checks without manual parsing. Conceptually, it tokenizes messages into segments, builds a hierarchical map of segments and data elements, and preserves the original sequence for traceability. Beneficiaries include integration engineers, data engineers, and partners exchanging logistics or manufacturing data. The tool’s value lies in its predictable outputs, configurable segment filters, and templates that map EDIFACT components to business entities. Core features include strict EDIFACT syntax handling, optional extraction of specific segments, and support for common version variants. Use cases span onboarding new partners, data migration projects, and real-time parsing in ETL workloads. Distinctive value comes from a transparent, deterministic parse with outputs suitable for programmatic consumption and rapid integration.

Hvordan bruke

  1. Provide inputs: paste the EDIFACT message and set optional parameters such as version and segments_to_extract.
  2. Choose parsing options: select which segments to map and the desired output format (JSON/CSV/XML).
  3. Run parsing: invoke the parser to construct a hierarchical data structure from the EDIFACT message.
  4. Review outputs: inspect parsed_segments, metadata, and any errors; view or export JSON/CSV/XML representations.
  5. Export results: download the structured data or pipe it into downstream systems via APIs or files.
How to use edifact parser online

Frequently Asked Questions

Finn raske svar

How does the tool handle duplicates?
Duplicates are preserved as repeated segment instances within the hierarchical structure. Each occurrence is represented in an array or list associated with its parent segment, enabling accurate counts and sequence preservation for auditing and reconciliation.
Can the parser handle very large EDIFACT messages?
Yes, but performance depends on message size and available memory. For extremely large messages, consider streaming or chunked parsing if supported by the implementation, and enable segment filtering to reduce in-memory data.
Is JSON the only output format?
No. Outputs can be emitted as JSON, CSV, or XML depending on user selection. JSON is default for programmatic consumption, while CSV/XML are useful for data exchange and archival.

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