Audio Clipping Detector

This audio clipping detector and clipping checker monitors your microphone in real time or analyzes uploaded audio files for audio distortion caused by digital overload. See clip counts with timestamps, severity ratings, headroom measurements, and gain reduction recommendations — all processed locally in your browser.

Clipping Detector Tool

Understanding Your Results

Clip Count

The total number of times the audio signal reached or exceeded the clipping threshold (±0.99 of the digital maximum). Each count represents a detected clipping event. The counter flashes red on new detections so you can correlate clips with what you're hearing.

Severity Meter

The severity meter categorizes your clipping frequency: None (0 clips), Mild (1–5 clips per minute), Moderate (5–20 clips per minute), or Severe (20+ clips per minute). Occasional mild clipping on transient peaks may be inaudible, but moderate or severe clipping causes noticeable distortion.

Headroom

Headroom is the difference between your current peak level and the digital ceiling (0 dBFS), displayed in the headroom meter at all times. More headroom means more margin before clipping. Professional recordings typically maintain 3–6 dB of headroom to accommodate unexpected transient peaks from drums, plosives, or plucked strings. If headroom drops below 1 dB, you're at risk of clipping on any louder moment. Streaming platforms such as Spotify and Apple Music apply loudness normalisation (typically −14 LUFS or −16 LUFS), so delivering a mix with adequate headroom is more important than maximising peak levels at the source.

Gain Recommendation

Based on current headroom and clip frequency, the tool calculates the required gain reduction and suggests how much to reduce your input gain. If you're clipping, it recommends reducing gain by enough dB to restore at least 3 dB of headroom. If your headroom is already healthy, it confirms your levels are safe.

Consecutive Clips

Consecutive (sustained) clipping is more audible and damaging than occasional transient clips. The consecutive clip counter tracks how many frames in a row contain clipping. Long runs of consecutive clips indicate the signal is being hard-limited or the gain is far too high.

Peak Meter

The vertical peak meter shows the instantaneous peak level with a hold indicator that marks the highest peak seen. The clip indicator at the top lights red when clipping is detected and stays lit for 2 seconds as a visual warning.

How Clipping Detection Works

Digital audio is represented as a stream of samples, each a floating-point number between −1.0 and +1.0. This range corresponds to the full dynamic range of the digital system. When a signal exceeds this range — due to excessive gain, hot recording levels, or summing multiple loud sources — it is clipped: the samples are clamped to ±1.0, producing waveform clipping — a hard flattening at the peaks. Clipping introduces harmonic distortion and intermodulation products that are not present in the original signal — even a few clipped samples on a sharp transient can add audible harshness when the file is played back through a DA converter or mastered at louder loudness targets.

Detection Threshold

This tool uses a detection threshold of ±0.99 (approximately −0.09 dBFS). Any sample whose absolute value reaches or exceeds 0.99 is flagged as clipped. This threshold catches both hard clipping (samples exactly at 1.0) and near-clipping samples that indicate the signal is at the digital ceiling. The slight margin below 1.0 accounts for inter-sample peaks that may clip during digital-to-analog conversion.

Headroom Calculation

Headroom is calculated as the difference between the peak level and the digital ceiling, expressed in decibels: headroom = 0 − 20 × log10(peakAmplitude). A peak amplitude of 0.5 gives approximately 6 dB of headroom. A peak of 0.99 gives only 0.09 dB of headroom, meaning the signal is dangerously close to clipping.

Severity Classification

Clipping severity is classified by clips per minute: None (0 clips), Mild (1–5/min), Moderate (5–20/min), Severe (20+/min). This classification is based on perceptual research showing that occasional single-sample clips on transient peaks are often inaudible, while sustained or frequent clipping produces clearly audible distortion, harmonic artifacts, and intermodulation products that degrade audio quality.

Consecutive Clip Detection

The tool tracks consecutive clipped frames to distinguish between transient clips (single peaks hitting the ceiling) and sustained clipping (multiple consecutive frames at the ceiling). Sustained clipping is far more audible and indicates the signal is being hard-limited or the gain structure is fundamentally wrong — a common cause in live streaming setups, podcast interfaces with AGC enabled, or DAW tracks summed too hot at the bus. The gain reduction recommendation accounts for both clip frequency and duration to provide actionable advice. If you want to examine the full spectral energy distribution of your signal before or after addressing clipping, use the audio spectrum analyzer to verify the frequency balance is intact once you bring the levels down.

dBFS, LUFS, and True-Peak: What Is the Difference?

dBFS (decibels relative to full scale) measures the instantaneous sample peak of a signal against the digital ceiling at 0 dBFS. It tells you whether a sample has clipped, which is exactly what this tool tracks. LUFS (Loudness Units Full Scale) is a different measure entirely: it applies K-weighting across the frequency spectrum and uses gating to ignore silence, producing a single integrated loudness number that correlates with how loud a recording actually sounds to a listener. dBFS and LUFS are not interchangeable — a heavily compressed track can read −1 dBFS peak while sitting at −8 LUFS, while a dynamic orchestral recording might peak at −3 dBFS but average only −23 LUFS.

True-peak (dBTP) goes one step further than sample-peak measurement: it uses oversampling (typically 4x or more) to reconstruct the analog waveform between samples and find inter-sample peaks that can exceed the sample maximum. This matters because lossy codecs such as MP3 and AAC can push inter-sample peaks above 0 dBFS even when the source file shows clean headroom. Practical streaming targets: Spotify, YouTube, and Tidal normalize to approximately −14 LUFS integrated; Apple Podcasts targets −16 LUFS. Both recommend a true-peak ceiling of −1 dBTP or lower to prevent codec-induced clipping on delivery. Use this clipping detector to confirm your peak levels are clean at the recording stage, then check the loudness normalization tool to verify your integrated LUFS and compare against platform targets. The peak level analyzer can also help you audit true-peak headroom across a file before export.