Audio ID Converter

Converts track IDs between major streaming platforms, enabling accurate cross-platform reference, licensing checks, and metadata validation for developers, librarians, and publishers.

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About This Tool

The Audio ID Converter provides cross-platform mapping of music track identifiers. It accepts a source platform and an input ID, then returns the corresponding ID or URL on the target platform, along with a confidence score. This enables reliable cross-referencing for licensing, cataloging, and distribution workflows. Conceptually, the tool relies on ID normalization, platform-specific patterns, and maintained mapping tables, supplemented by optional metadata-based lookups when titles and artists are provided. Users benefit from reduced manual lookup time and fewer mismatches when integrating assets across services. Unique value lies in deterministic cross-platform references backed by structured fallback rules and clear confidence signals, which support automated metadata pipelines and batch-style processing through repeated invocations. Core features include exact ID translation, URL reconstruction, and optional metadata-assisted disambiguation. Use cases include onboarding new catalog entries, verifying asset licenses, and synchronizing asset libraries across Spotify, Apple Music, and YouTube Music. The tool is designed for developers, data engineers, and content librarians who require deterministic cross-platform identifiers for automation and audit trails.

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How to Use

Provide inputs: source_platform, target_platform, input_id, input_type.
Normalize inputs: trim whitespace and standardize platform names.
Run conversion: perform cross-platform lookup using internal mappings or metadata-based fallback.
Review outputs: target_id, target_url, confidence score.
If mapping is ambiguous, rely on metadata search or request alternative IDs; export results as needed.

Frequently Asked Questions

Find Quick Answers

What platforms are supported?

Currently supports Spotify, Apple Music, and YouTube Music. The tool aims to expand to additional services as mapping tables and APIs become available.

Can it map IDs without metadata?

Yes, if a direct cross-platform mapping exists in the internal tables. If not, the system returns the best available guess with a confidence score and may prompt for metadata inputs.

What happens if no mapping is found?

The tool returns no target_id and a low confidence score, along with guidance to try alternative IDs or supply metadata to refine results.

Can this be used in batch workflows?

Yes. For batch processing, invoke the tool multiple times or integrate via an API/workflow that queues input records and aggregates results.

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