An audio analyzer answers two questions: what is inside this file, and does it sound as good as it should? Upload a voice memo, a podcast episode, a field recording or a song, and the AI writes a technical report. It covers format and encoding, duration, the likely sample rate, bit depth and bitrate, then moves to what you hear: clarity, hiss and hum, clipping or distortion, how energy is spread from lows to highs, dynamic range and overall loudness. Each finding comes with a recommendation, such as cutting a low rumble, lowering the input gain or exporting at a higher bitrate. Quality scores from 0 to 100 sit alongside the text, so you can compare versions of the same recording.
Example result
Input
A 12-minute MP3 of a two-person interview recorded on a laptop microphone in a small office.
Output
Format: MP3, mono, about 12 minutes. The high end rolls off early and sibilants sound slightly swirly, consistent with a low bitrate around 64 kbps. Noise: steady fan hiss throughout, plus a faint hum at the low end during pauses. Distortion: the guest's laughs clip at 4:10 and 9:32. Spectrum: strong buildup in the low mids gives a boxy, roomy tone. Little energy above the upper mids, so consonants lack crispness. Dynamics: the host is noticeably louder than the guest. Overall loudness is low for a podcast. Recommendations: record at 48 kHz WAV next time and export at a higher bitrate; apply a high-pass filter and a gentle cut in the low mids; use noise reduction on the hiss; level the two voices, then normalize to a standard podcast loudness.
Scores
How it works
How Audio Analyzer works
- 01
Add a file
Sign in and upload an audio file or record straight from your microphone. You can decide which AI model runs the analysis.
- 02
Technical profile
The model notes the container and codec, length, and the sample rate, bit depth and bitrate the audio appears to use, flagging signs of heavy compression such as swirly highs.
- 03
Sound quality and spectrum
It describes noise, hum, clipping and distortion, then walks through the frequency range: muddy low mids, harsh upper mids, missing air, or a mains hum at the bottom.
- 04
Dynamics and advice
Finally it comments on loudness and dynamic range, from over-squashed to too quiet, and lists practical fixes in order of impact.
Use cases
Who it is for
Podcasters checking an episode
Find hiss, clipping and level mismatches between hosts before publishing, and get an ordered list of edits to make.
Musicians and home producers
Get a second opinion on a bounce or demo: is the low end muddy, are the highs harsh, is the master crushed?
Video editors receiving mixed files
Quickly profile audio from clients or stock libraries to see which clips are low quality or noisy before you build a timeline around them.
Researchers and archivists
Document the condition of field recordings, interviews or digitized tapes, including noise, dropouts and frequency loss, in readable prose.
Tips
Get better results
- Upload the highest-quality version you have. Analyzing a re-encoded copy mostly tells you about the copy.
- For a long file, include a representative section with both quiet and loud moments so dynamics can be judged.
- If you need exact metadata such as the precise sample rate, confirm it in a file inspector or your editor; the AI infers it from the sound.
- Compare two versions, before and after your edits, and look at how the scores move rather than their absolute value.
- Mention in your notes what the recording is for, such as a podcast or a song, so you can judge the loudness advice against that target.
Limitations
What it can't tell you
This is an AI listening report, not a metering plugin. Values such as sample rate, bitrate and loudness are estimates inferred from the audio and may differ from the file's true metadata or from a calibrated LUFS meter. It does not draw a live FFT graph; if you need a real-time audio spectrum analyzer, use one in your DAW. Scores reflect the model's judgment and are best used to compare recordings with each other.
Frequently Asked Questions
Audio Analyzer questions
What does an audio analyzer do?
It examines a recording and describes its technical properties and sound quality. This one gives you a written report on format, encoding, length, noise, distortion, frequency balance, dynamics and loudness, plus 0 to 100 quality scores and a list of recommended fixes.
Is this an audio spectrum analyzer?
Not in the real-time sense. It does not display a moving frequency graph. Instead it describes the spectrum in words, for example a buildup around the low mids or a lack of high-frequency detail, and tells you what to do about it. For a visual FFT display, use your DAW's analyzer alongside this report.
Can I analyze audio online without installing software?
Yes. The analyzer runs in the browser: upload a file or record, and the report appears on the page. Nothing to download or install.
Which audio file formats can I upload?
Common formats such as MP3, WAV, M4A and similar files work. Lossless files give the most reliable picture of the original sound, because compression artifacts can be mistaken for recording problems.
How accurate are the sample rate and loudness readings?
They are informed estimates based on what the model hears, not values read from file headers or a calibrated meter. Use them to spot likely problems, and confirm exact numbers in your editing software when they matter for delivery specs.
How is this different from the audio quality checker?
The audio analyzer is the broad technical overview, covering format, encoding and sound together. Other tools in the app go deeper on one area, such as background noise, mix balance or mastering loudness.
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Audio Analyzer uses credits from a paid LindaleAI plan. See pricing