Measured.
Signal analysis reads your audio. The public example measures -6.6 LUFS integrated loudness.
Check the measurement
Understand your mix. Find your direction.
Know your next move.
After hours on the same loop, perspective gets harder. Mix Mirror puts your frequency balance beside the genre reference, so you can see where your sound differs.
Your report connects the technical result to the measurements behind it. When the source limits a check, that limitation belongs beside the result.
No technical blocker was found in the checks that ran (length 3:01, loudness -6.6 LUFS, peak 1.2 dBTP).
Explore how your track lines up with label profiles. Genre and tempo give the comparison context, while each label still makes its own editorial decisions.
mainstage · big room · electro house · progressive house
Profile tempo: 140-150 or 126-134 BPMmainstage · big room · electro house · progressive house
Profile tempo: 121-140 BPMmainstage · big room · edm · future rave
Profile tempo: 125-134 BPMProfile details from this example report. Labels are independent of SIGNR.
Bring the result back to your session. See the leading action and what is worth keeping, with the full reasoning available in your report.
The mono check passed: your mix stays intact when the system sums to mono.
Switch views. Select a band.
See what the difference actually means.
Code measures. Research adds context. AI assesses and explains. You decide.
Signal analysis reads your audio. The public example measures -6.6 LUFS integrated loudness.
Check the measurementThe example shows 95% Label Fit for Revealed Recordings. Code compares genre and tempo with the label profile. This percentage describes fit, not a label decision.
Check the comparisonThe example gives Mixdown 8/10. AI assesses the measurements using SIGNR’s written instructions. This is an interpretation to weigh alongside your own listening.
Read the assessmentDannic designed what SIGNR checks. Your report is generated automatically, without a personal listening session by Dannic. You make the creative decisions. Each label makes its own signing decisions.
Your audio file is not sent to the report-writing AI. Measurements and the track details you provide are sent to Anthropic to generate your report. Anthropic says commercial API inputs and outputs are not used for training by default, with exceptions for feedback or permission to use data. Account-specific permissions and any manual reuse of SIGNR data have not been verified, so we cannot give an unconditional no-training promise for every data flow.
Read Anthropic’s commercial data policy · SIGNR data handling
Your audio is measured on our audio service. The processing code removes its temporary file after processing. Your audio file is not sent to the AI that writes your report. Measurements and report results are saved so you can revisit them.
Checking Dannic Review availability. Your automatically generated report does not include a personal listening session. Check Dannic Review
SIGNR locates spectral peaks so you know where to investigate. The measurement gives you a position; listen in context before deciding to change anything.
When a submission is your next step, the report helps you prepare a draft. Review it, make it yours and send it yourself. SIGNR does not send your music to labels.
Bring the record you have been working on.
Get a clearer view of where it stands.