Wondering where was this recorded? This tool reads the acoustic clues in a clip and estimates the kind of environment it came from. It does not find a GPS position or a street address. Instead it weighs the evidence and gives probabilities for environment types: a small tiled bathroom, a living room, a large hall, a car interior, a busy street, a park, a forest, a beach. The report explains the reasoning, from reverb length and early echoes to birds, traffic, rain, a PA announcement or a language on a sign read aloud. It estimates room size, suggests time of day and weather where the audio hints at them, and gives a confidence level for each conclusion so you know which ones are solid and which are guesses.
Example result
Input
A 50-second phone video soundtrack of two people talking, with footsteps and a faint background murmur.
Output
Probable recording location: large indoor public space. Environment probabilities: train station or transit concourse, 55%; shopping mall atrium, 25%; airport terminal, 15%; other, 5%. Reverb and echo patterns: long, diffuse reverberation with a slow decay, typical of a high ceiling and hard floors. Footsteps produce distinct reflections. Room size estimate: very large, several thousand cubic meters. Background sounds that indicate location: crowd murmur, rolling luggage wheels, a chime followed by an announcement too distant to understand. Time of day indicators: steady crowd level suggests daytime or commuting hours; low confidence. Weather: no outdoor sounds detected. Confidence: high for indoor public space, moderate for the specific venue type.
Scores
How it works
How Acoustic Location Probability Map works
- 01
Upload the recording
Sign in, then upload a clip or record in your browser. Pick the AI model you want to run the analysis.
- 02
Read the room from reflections
The AI listens to how sound decays after each word or impact. A short, bright tail suggests a small hard room; a long, diffuse one suggests a hall or stairwell; almost none suggests open air or heavy furnishing.
- 03
Collect background evidence
It lists the sounds that point to a setting, such as traffic, sirens, insects, surf, church bells, a train announcement or an espresso machine, and notes any regional or seasonal hints they carry.
- 04
Weigh the candidates
Finally it ranks possible environments with a probability for each, adds room size, time of day and weather indicators, and states its confidence.
Use cases
Who it is for
Film and game sound designers
Match a reference recording by learning what kind of space it was captured in, then choose a reverb and ambience bed that sits in the same acoustic world.
Journalists checking a clip's story
If a video claims to be from a crowded outdoor protest but the audio sounds like a small room, that mismatch is worth a closer look. Treat the report as one clue among others.
Podcasters diagnosing a hollow sound
Hear why a guest's audio sounds boxy or distant: the report describes the room size and echo, which points to the fix, such as soft furnishing or a closer mic.
Curious listeners
Found an old recording with no context? Get a reasoned guess at whether it was made in a church, a kitchen, a car or outdoors, and what the background tells you.
Tips
Get better results
- Leave in natural sounds like footsteps, claps or door slams; sharp sounds reveal the room far better than continuous speech.
- Upload the unedited original, since added reverb, music or noise reduction will mislead the analysis.
- Longer clips with some quiet moments let the AI hear more of the background.
- Read the probabilities as a ranking, and pay most attention to conclusions marked high confidence.
Limitations
What it can't tell you
This is an estimate of the environment type, not geolocation. Audio alone cannot give coordinates, a city or an address, and the tool does not try. Regional hints such as a language, a bird species or a siren style can narrow things down only loosely, and they can be wrong. Different spaces can sound alike, and processing on phones and social platforms changes the acoustic signature. Do not use the result as evidence of where a person was; it is not a forensic determination.
Frequently Asked Questions
Acoustic Location Probability Map questions
Can I find out where a recording was made from the audio?
You can learn what kind of place it was: indoor or outdoor, a small room or a large hall, a street, a forest or a beach. That comes from reverb, echo and background sounds. An exact geographic location usually cannot be recovered from sound, so the report gives environment probabilities rather than a pin on a map.
Is this the same as sound localization?
Not quite. Sound localization usually means finding the direction a sound comes from, using several microphones or two ears. This tool works with an ordinary single recording and asks a different question: what does the audio reveal about the space and surroundings where it was captured.
How does it estimate room size?
Bigger rooms make reflections arrive later and decay more slowly, while soft materials shorten the tail. The AI listens to how long sounds ring on and how bright the reflections are, then gives a size range and a confidence level. It is an informed estimate, not an acoustic measurement.
Can it tell the time of day or the weather?
Sometimes, from indirect evidence. Dawn birdsong, rush-hour traffic, rain on a roof or wind gusts are clues the report will point out. When the audio holds no such hints, it will say the confidence is low rather than guess.
Who can use this tool?
Anyone with a LindaleAI account on a paid plan. Each analysis draws on your monthly credits, and the pricing page explains the options.
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Acoustic Location Probability Map uses credits from a paid LindaleAI plan. See pricing