What input does the parser accept?

It accepts fixed-width text records pasted into the Text Input field.

Can I define the columns manually?

Yes. Select Schema and provide JSON fields with names plus start and end positions.

Can the tool infer column boundaries?

Yes. Select Infer to derive boundaries from aligned whitespace in the text.

Are positions measured in characters or bytes?

You can choose Characters or UTF-8 bytes with the Position Mode setting.

What does the output contain?

The JSON result includes the resolved or inferred schema, parsed rows, a preview, and an anomaly report.

Elysia Tools

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Text Processing

Fixed-Width Column Parser

Parse fixed-width text with explicit or inferred field boundaries, character or UTF-8 byte positions, schemas, and anomaly reports.

Execution

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Prepared example runs

Click an example to fill the form automatically. File inputs still need an upload.

2 examples

Parse an explicit fixed-width schema

Use half-open character ranges to parse a header plus two padded records and report zero anomalies.

Resolved schema, parsed rows, preview, and anomaly report

Infer columns and flag an extra byte

Infer boundaries from aligned whitespace, use the first row as field names, and identify a record with trailing data.

Inferred schema and a structured extra-data anomaly

Inputs

Set the required fields, then run the tool.

6 options

ContentPaste or type the main input values.2

Text InputtextareaRequiredSchema JSONtextareaOptional

SettingsAdjust formats, ranges, numbers, and modes.2

Parse ModeselectOptionalPosition ModeselectOptional

TogglesEnable or disable optional behavior.2

First row is headercheckboxOptionalEnabled when checkedTrim field valuescheckboxOptionalEnabled when checked

Result

Ready for a run

Run the tool to preview files, text, structured data, or streamed output here.

Samples

Fixed-Width Column Parser

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Prepared example runs

Inputs

Result

Examples that match this tool

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Prepared example runs

Inputs

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Key facts

Overview

When to use

How it works

Use cases

Examples

1. Parse a student score report with an explicit schema

2. Infer columns and detect trailing data

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