UTF Validator

Validates text encodings (UTF-8/UTF-16/UTF-32), detects invalid sequences, and reports precise error positions to help developers ensure encoding integrity in data pipelines.

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About This Tool

The UTF Validator analyzes input text or bytes to determine if the sequence conforms to a chosen Unicode encoding (UTF-8, UTF-16, or UTF-32). It reports exact error positions for any invalid byte patterns, aiding developers in diagnosing data quality issues. Conceptually, the tool decodes byte streams according to encoding rules, flags anomalies such as overlong encodings or lone surrogates, and can propose remediation strategies like re-encoding or replacement. It is valuable in content ingestion pipelines, localization workflows, and systems requiring strict text integrity. The tool excels when data originates from external sources, logs, or user submissions, where encoding mismatches commonly cause processing failures. Its unique value lies in precise position reporting, optional automatic detection, and support for streaming validation on large inputs, reducing downstream data clean-up time. Use cases include validating API payloads, preparing localization files, and ensuring log text remains well-formed for indexing and search. Core features include: encoding selection, strict mode, BOM handling, error listing with byte offsets, and optional normalization or re-encoding previews for safe data repair.

How to Use

  1. Provide inputs: select target encoding (UTF-8/UTF-16/UTF-
  2. and supply text or raw bytes.
  3. Enable optional BOM handling and strict mode if required by the pipeline.
  4. Run validation to obtain is_valid, error positions, and any normalized_text if applicable.
  5. Review outputs and, if issues exist, re-encode source data or apply suggested remediation steps.
How to use utf validator

Frequently Asked Questions

Find Quick Answers

What encodings are supported?
The validator supports UTF-8, UTF-16, and UTF-32; it can also attempt automatic detection with a confidence score when enabled.
What does an error position mean?
An error position is the byte offset within the input where encoding rules are violated; can be mapped to a code point index for readability.
Can it fix encoding problems?
It can suggest re-encoding or replacement strategies and can provide a preview of the normalized text after conversion when requested.
Is it suitable for large files?
Yes, it supports streaming validation for large inputs, processing data in chunks to maintain performance and memory usage.

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