Hearing a hum under your podcast, a whine in a voice memo, or a thud in a video and wondering what is this sound? Upload the clip and the AI listens past the main voice or music to name the background sounds it hears: traffic, an air conditioner, a fridge compressor, wind on the mic, a crowd, electrical buzz and more. For each one it describes the character of the noise (low rumble, steady hiss, tonal whine, intermittent clatter), whether it stays constant or comes and goes, and how much it gets in the way of speech or music. You also get a 0 to 100 noise level rating, a noise profile, clues about the setting, and steps to reduce the problem.
Example result
Input
A 60-second laptop recording of someone reading a script at a home desk, with a faint constant hum and an occasional clicking sound.
Output
Noise types identified: a steady low hum that sounds like mains electrical interference or a nearby appliance motor; a soft broadband hiss from the microphone preamp; intermittent mechanical clicks, most likely a keyboard or a desk fan changing speed. Frequency characteristics: the hum sits low and tonal, the hiss is spread across the upper range. Consistency: hum and hiss are present throughout; clicks appear roughly five times. Impact on speech: moderate. The voice stays intelligible, but the hum is noticeable in pauses. Environmental clues: small indoor room, no traffic or outdoor sounds. Noise profile: indoor electrical and mechanical. Recommendations: unplug or move chargers near the mic, turn off the fan, use a high-pass filter and a gentle noise reduction pass on the hiss.
Scores
How it works
How Background Noise Analyzer works
- 01
Upload or record the clip
Sign in, open the tool and upload the file with the mystery noise, or record the room directly in your browser. Choose which AI model does the listening.
- 02
Separate foreground from background
The AI sets the main speaker or instrument aside and focuses on everything underneath it: steady beds of noise, one-off bangs, and tones that sit at a fixed pitch.
- 03
Name the sources and their frequency range
Each sound gets a likely source and a description of where it sits: low-frequency rumble from engines or HVAC, midrange chatter from people, high hiss from electronics or wind.
- 04
Rate the impact and suggest fixes
The report scores the overall noise level, judges how much it masks the content you care about, and lists specific ways to cut it, from moving the mic to using a noise gate or a high-pass filter.
Use cases
Who it is for
Podcasters chasing a mystery hum
Find out whether the drone under your episodes is a ground loop, a computer fan or the building's ventilation before you spend money on new gear.
Video editors cleaning up field audio
List what sits behind an outdoor interview, such as wind, distant traffic or a generator, so you know which cleanup tools to use.
Anyone curious about a strange noise
Recorded an odd buzzing in your apartment or a rhythmic thump outside at night? Upload it and get the most likely sources described in plain language.
Home studio owners testing a room
Record thirty seconds of silence in your room and see which noises the mic picks up when nobody is talking, then fix the loudest one first.
Tips
Get better results
- Include a few seconds where nobody speaks; background sounds are much easier to identify in the gaps.
- Upload the original file rather than a version that has already been through noise reduction, which can smear the clues.
- If the noise only happens sometimes, trim the clip so it includes at least two occurrences.
- After you apply a fix, record again and compare the two noise level scores.
Limitations
What it can't tell you
Identifications are the AI's best guess from what the audio sounds like. Many sources share a similar signature, so a fridge and an air handler, or a highway and the sea, can be hard to tell apart in a short clip. The noise level rating is a relative estimate, not a decibel reading from a calibrated sound level meter, so it should not be used for workplace safety or legal noise complaints.
Frequently Asked Questions
Background Noise Analyzer questions
How do I identify a sound from a recording?
Upload the recording, ideally with some quiet moments where the sound is exposed. The AI describes each background sound it detects, suggests the most likely source, and explains whether it is constant or intermittent. Recording close to the suspected source helps.
Can it tell me what is causing a hum or buzz?
Often, yes. A steady tonal hum usually points to electrical interference or a motor, a broadband hiss to electronics or airflow, and a low rumble to traffic or machinery. The report names the most likely cause and a fix to try. When two sources sound alike, it will say so rather than pretend to be certain.
Is this an animal or bird sound identifier?
It is built for background and environmental noise, such as appliances, traffic, wind and crowds. It will mention birds or animals it hears in the background, but to name a species, use the bird song identifier or the wildlife sound analyzer, which focus on that job.
Does it measure noise in decibels?
No. The noise level is a 0 to 100 estimate of how prominent the background is relative to the rest of the recording. Phone and laptop microphones apply automatic gain, so true sound pressure levels cannot be recovered from a typical upload. Use a calibrated meter if you need decibels.
Will it remove the noise for me?
The tool analyzes and explains; it does not return a cleaned file. The recommendations tell you which kind of processing fits each noise, for example a high-pass filter for rumble, a notch for a single tonal hum, or spectral noise reduction for hiss, plus changes to mic placement.
How do I get access?
This is one of the paid AI tools in the LindaleAI app. Once you have an account on a plan, each upload uses credits from your monthly balance. The pricing page lists the current options.
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Wildlife Sound Analyzer
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Bird Song Identifier
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Speech Clarity Assessor
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Background Noise Analyzer uses credits from a paid LindaleAI plan. See pricing