WKRD Studio AI Detector (SAD-100) + Metadata Inspector
Loca tool for MP3 and WAV files. Inspect visible metadata, hidden/custom tag blocks, scan metadata for known AI music maker names, edit common fields, add custom text metadata, write a WKRD Master SHA / Authorship Project Code into the export, preserve the automatic file fingerprint, and download a JSON report.
2. Edit Common Metadata
Copyright / Authorship Rights
These editable rights lines are written into the clean export metadata and included in the JSON report. Keep the token private unless you intentionally use it to verify ownership.
3. Custom Text Metadata
MP3 export writes these as TXXX custom ID3 frames. WAV export writes keys with 4-character INFO codes. Use plain labels like Website, Publisher, ISRC, WKRD, or NOTE.
Extracted Metadata and Hidden/Custom Data
| Source | Type | Key / ID | Value / Preview | Bytes | Risk | Action |
|---|---|---|---|---|---|---|
| Load a file to inspect metadata. | ||||||
Studio AI Detector (SAD-50) Quick AI Metadata Scan
WKRD Master SHA / Authorship Project Code
This is the main editable WKRD project identifier. Enter the code created by your WKRD SHA Maker and keep it with the song as stems, vocals, instruments, revisions, and artist contributions move between collaborators and states.
This project code can remain consistent across the entire collaboration. It is written into the edited audio metadata and included in the JSON report.
Automatic File SHA-256 Fingerprint
This technical fingerprint is calculated from the exact bytes of the loaded audio file. It changes whenever the file bytes change and remains locked so it can accurately verify that exact file version.
AI Music Maker Keyword List
You can add more names here later. Put one maker or alias per line.
Audio Watermark Detector & Review Editor
Detector Settings
Detected Clues
The detector does not identify a watermark vendor or decode proprietary watermark payloads. It reports signal patterns for manual review.
Repeating Tone Cleanup Editor
Narrow Tone Filters
Enter up to three fixed tones. A blank frequency disables that slot. Higher Q values make the cut narrower so less surrounding music is affected.
Optional Band Limits
For an alternating two-tone signal, put the low frequency in one slot and the high frequency in another. Start with a 12–24 dB reduction and a Q around 18–30, then listen before making the cut stronger.
Advanced Hidden Data / Raw Edit
Selected Extracted Item
Text metadata is safest to edit by adding it to the metadata editor and exporting a clean copy. Binary/private frames should normally be removed with privacy-clean export unless you know the exact bytes you want to patch.
Raw Byte Patch Editor
Raw Technical Inspector — Editable Workspace
You can edit and save this inspector text as part of the browser draft and JSON report. Editing this text does not directly change the audio bytes. Use the Advanced Edit tab to patch actual file bytes by offset.
What This Tool Can and Cannot Do
MP3: Reads ID3v2 frames, ID3v1 tags, common text fields, comments, custom TXXX fields, private PRIV frames, unique IDs, embedded artwork, URL frames, padding, and some trailing metadata signatures.
WAV: Reads RIFF chunks, LIST/INFO metadata, BEXT broadcast metadata, iXML XML metadata, embedded ID3 chunks, cue/marker chunks, JUNK/PAD chunks, and unknown custom chunks.
Editing: You can edit normal text metadata and custom text fields. You can also select extracted hidden items, add edited text back into the clean metadata export, or use the raw byte patch editor for exact same-length binary edits by offset.
AI maker scan: The SAD-50 scan looks for known AI music maker names in metadata and selected raw text areas. It is a clue finder, not a court-proof AI detector.
Quick audio analysis: The report also runs a local browser analysis for duration, sample rate, peak/RMS level, rough dynamic range, clipping, transient activity, spectral balance, stereo width, and synthetic/electronic clues. This can suggest possible electronic instruments or heavy processing, but it cannot prove AI generation by waveform alone.
WKRD Master SHA: The main WKRD Master SHA / Authorship Project Code is editable and can stay consistent across collaborators, stems, revisions, and final assembly. A separate automatic SHA-256 fingerprint is calculated from the exact file bytes and remains locked for file-version verification.
Audio watermark detector: Locally samples decoded audio for persistent narrow-band carriers, high-frequency energy, repeating level patterns, and stereo-difference clues. The Watermark tab lets you adjust sensitivity, edit the review report, set a manual review status, add notes, and save the review into the JSON report or metadata editor. It does not decode proprietary watermark payloads and does not prove a watermark is present.
Repeating tone cleanup: The Watermark tab also includes a local frequency cleanup editor for audio you own or are authorized to edit. It can reduce up to three fixed tones with narrow adjustable cuts, optionally apply gentle high-pass/low-pass filters, provide original/cleaned A/B listening, and export a separate 24-bit PCM WAV without overwriting the source.
Privacy: The file stays in your browser. There is no upload, no server, and no external library loaded from the internet.