Visualize Emotion with the Voice Mood Analyzer
Take your audio production to the next level with the Voice Mood Analyzer. This tool uses cutting-edge local AI to map the “energy” and “confidence” of any recording, helping podcasters and speakers identify tonal shifts and peak engagement moments. By processing data 100% locally in your browser, your audio remains entirely private—ensuring your unreleased content never touches an external server.
How to Analyze Voice Mood
- 01. Upload Audio: Select your MP3, WAV, or OGG file from your device.
- 02. Energy Mapping: The tool generates a visual waveform based on local amplitude data.
- 03. Mood Extraction: Our local AI classifies the sentiment and emotional intensity of the speech.
- 04. Confidence Score: Review the primary mood and confidence percentage for the recording.
Frequently Asked Questions
How does it analyze mood without a server connection?
The tool loads an Audio Spectrogram Transformer (AST) model directly into your browser’s memory, allowing it to perform complex audio classification entirely offline.
Is my audio recording kept private?
Yes. No data is ever uploaded. The audio is decoded and analyzed within your browser’s local RAM and is discarded as soon as you close the tab.
Which audio formats are compatible?
The analyzer supports all standard browser formats, including MP3, WAV, and OGG, with a recommended file size limit of 50MB for optimal performance.
Does this work for multiple speakers?
It currently analyzes the dominant audio channel. For best results with multi-speaker recordings, we recommend analyzing individual solo tracks separately.
Can I use this on my smartphone?
Yes. As long as you are using a modern browser (Chrome, Safari, or Firefox), the tool can run on most high-performance mobile devices.
Is there a cost for high-resolution analysis?
No. This is a 100% free tool provided by FreeAIToolz. There are no limits on the number of files you can analyze per session.