About DeciBars

DeciBars is a noise-aware venue discovery app that helps you find restaurants, bars, cafés, and lounges based on how loud or quiet they actually are when you plan to visit. Instead of guessing whether a spot will be too loud for conversation or too quiet for a lively night out, DeciBars estimates real-time decibel levels using a blend of user-submitted measurements, live occupancy data, time-of-day patterns, AI photo analysis, weather, and nearby event detection. It's built for everyone who cares about sound: remote workers hunting for a quiet café with outlets, couples planning a date where they can actually hear each other, sensory-sensitive and neurodivergent visitors who need low-stimulation spaces, and migraine-prone diners who want dim, calm rooms. Beyond noise, every venue is rated across nine vibe dimensions — including lighting, crowd density, laptop-friendliness, ADHD/autism-friendliness, and migraine friendliness — so you can match a place to your exact needs. DeciBars is built and maintained by the DeciBars team, and it gets smarter as more people contribute real measurements and vibe ratings.

How we estimate noise levels

When a venue doesn't have direct measurements yet, we estimate using a combination of signals - the more signals available, the more confident the estimate.

Real Measurements
The most reliable source. When users submit actual decibel readings from our in-app meter, those readings form the foundation of a venue's estimate.
Time of Day & Day of Week
Bars are measurably louder on Friday/Saturday nights vs. Tuesday afternoons. We model typical traffic patterns including lunch and dinner rushes, weekend peaks, and late-night crowds to estimate occupancy and adjust noise estimates based on when you're searching.
Live Occupancy & Fire Capacity
When available, Google's live occupancy data or fire codes tell us how busy a venue is. A packed bar is a loud bar, so we estimate real-time noise based on occupancy percentage.
AI Review Analysis
We run recent Google reviews through AI to detect noise mentions and keyword frequency (DJ, live music, band, loud, etc.). Phrases like "couldn't hear each other" or "great vibe" carry real signal about both noise levels and recurring events.
Neighborhood Density
A bar surrounded by 10 other bars within 300 meters is likely in a lively, louder area than one that stands alone.
Venue Tags & Type
Google tags like "live music venue", "sports bar", or "nightclub" along with the venue type and name tell us a lot about expected noise.
Price Range
Cheaper bars ($) tend to run louder than upscale spots ($$$$). Price level from Google is used as a soft noise proxy.
Review Count & Popularity
A venue with 5,000 Google reviews is likely a high-traffic, louder spot compared to one with 80 reviews. Popularity correlates with busyness.
AI Photo Analysis
When interior or Street View photos are available, we send them to an AI vision model to infer acoustic properties: ceiling height, hard vs. soft surfaces, room density, layout, and music equipment. The AI returns a decibel adjustment based on what it sees.
Room Acoustics & Reverberation
Hard surfaces like exposed brick, concrete, and glass amplify sound through reverberation. We analyze venue photos to classify interior materials: carpeted spaces receive no adjustment, mixed materials add 2-3 dB, and industrial/hard surfaces add 4-8 dB.
Music & Events
Live or amplified music significantly increases perceived loudness. We detect music equipment in photos and review mentions: background music adds 3-5 dB, DJ/amplified sets add 8-15 dB, and live bands add 10-20 dB. Regular events create predictable noise spikes.
County Assessor Data
Building characteristics from county records inform noise: larger square footage amplifies sound, older buildings have less insulation, and smaller lots contain sound less effectively. These modifiers provide structural context beyond occupancy.
Live Events Tonight (Ticketmaster)
We check Ticketmaster for events happening at or near the venue tonight. A concert or DJ night adds up to +15 dB to the estimate. Sports events add +8 dB. Any detected event meaningfully boosts the prediction.
Current Weather
Nice weather (clear, 65-85°F) means more people go out - we add +2 dB. Rain, snow, or a thunderstorm keeps crowds home, so we subtract 3 dB. Weather data comes from OpenWeatherMap in real time.
Map View (Quick Mode)
When browsing the map, estimates run in "quick mode" — skipping SerpAPI calls to conserve resources while still using Google Places data, weather, Ticketmaster events, photo acoustics, and time-of-day signals. Tapping into a venue's detail page runs the full enrichment pipeline.

Estimates improve over time as more people contribute real measurements. Rather than showing a single precise number, we present noise as a range (e.g. "~68–76 dB") and note how many visitor measurements back it — so you always know what's measured vs. predicted.

The DeciBars Sound Scale

These are DeciBars' own descriptive categories for venue sound environments — informed by research, but not clinical thresholds. No single dB level is universally "preferred" by autistic people or people with migraine; sensitivity varies widely between individuals and even day to day. The scale simply describes how loud a venue tends to be.

Typical LAeqDeciBars ClassInterpretation
< 50 dBAVery QuietExcellent for conversation; unusually quiet for a restaurant/bar
50–55 dBAQuietLow background noise; likely appealing to many noise-sensitive guests
56–60 dBACalmGenerally conversation-friendly
61–65 dBAModerateNoticeable background sound; may bother more sound-sensitive guests
66–70 dBALivelyIncreased conversational effort; potentially uncomfortable for sensory-sensitive guests
71–75 dBALoudHigh sensory load; conversation increasingly difficult
> 75 dBAVery LoudMay be particularly problematic for migraine, hyperacusis, or auditory hypersensitivity

Two venues averaging 60 dBA can feel completely different — a steady hum of conversation versus sudden crashing dishes and peaks. That's why DeciBars captures average (LAeq), peak, and variability, not just a single number.

Research basis

DeciBars' framework is informed by peer-reviewed research on sound tolerance and real-world restaurant acoustics. These studies support the rationale for our badges — they do not establish clinical cutoffs.

  • Ashkenazi et al. (2009), Cephalalgia — migraine materially reduces sound tolerance, especially during attacks.
  • Dwyer et al. (2025), J. Autism & Dev. Disorders — autistic adolescents rate everyday sounds as more unpleasant at 60–80 dB; the real-world soundscape matters, not just the meter reading.
  • Bourez et al. (2025), Hearing Research — people with hyperacusis reach discomfort ~13 dB LAeq lower across real-world soundscapes.
  • Bottalico et al. (2022), Scientific Reports — in restaurants, communication disturbance accelerates ~51.6 dBA and willingness to remain breaks at ~65.8 dBA.

Browse Features

Share Venues
Quickly share venue details with friends using the share button.
Photo Insights
AI-powered visual analysis of venue photos to infer acoustic properties like ceiling height, room density, and surface materials.
Stale Data Warnings
Get alerts when venue measurements are older than 6 months, so you know when data might be outdated.
Interactive Noise Map
Browse venues on a live map with color-coded noise dots — green (quiet), yellow (moderate), orange (lively), red (loud). Pan and tap "Search this area" to discover venues anywhere.
Popular Times & Busyness
On venue detail pages, we fetch real-time popular times from Google via SerpAPI to show hourly busyness charts — so you can see the quietest times to visit before you go.

Venue Vibe Scores

Beyond noise, every venue gets rated on 9 dimensions to help you find places tailored to your needs.

The 9 Dimensions
Noise, Lighting, Space/Crowd Density, Workability (laptop-friendly), ADHD/Autism-friendly, Migraine-friendly, Conversation Ease, Outlet Availability, and Seating Comfort. Each is rated 1-5 based on AI analysis and user submissions.
Persona Matching
Remote Workers need quiet, outlets, and comfy seating. ADHD/Autism folks need calm, low-stimulation spaces. Migraine-sensitive people need quiet and dim lighting. Folks going on dates want easy conversation, good seating, and ambiance. Each persona's score is the average of its relevant dimensions.
How It Improves
Scores start as AI estimates based on venue photos, reviews, and structure. When users submit their own vibe ratings, those blend with the AI scores using a weighted average, making estimates more accurate over time.

Sensory & Accessibility Features

DeciBars is built with sensory-sensitive users in mind — not just partygoers. Our comfort badges describe environmental characteristics, not medical guarantees.

Sensory-Friendly & Low-Sensory Badges
DeciBars separates four concepts: Low Noise (objective, from measurements), Low Sensory Environment (noise + lighting + crowd density combined), Sensory Friendly (community-rated by visitors), and Migraine-Friendly Environment (multi-factor). Research shows autistic auditory sensitivity is well established, but specific dB guidelines do not yet exist — so we describe, not diagnose.
Migraine-Friendly Environment
Shown only when several factors align — low noise, subdued lighting, and low crowd density — based on environmental characteristics commonly reported as relevant to migraine sensitivity. It is not a clinical "safe" threshold.
Use Case Filtering
Filter the Nearby and Browse views by what you're doing — remote work, a date, catching up with friends, or sensory-sensitive outings. DeciBars surfaces the right venues for your specific needs.

Questions or concerns?

Email: decibars@gmail.com