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Free · two recorders · offset + linear clock drift

Audio Sync Drift Corrector

Align two separate recordings of the same event. Recover their starting offset, measure recorder-clock drift across multiple sync anchors, edit the map and render a corrected secondary track locally.

Before-and-after illustration of Audio Sync Drift Corrector: Primary and secondary becomes Synchronized secondary through Align offset and clock.
Before → process → afterSee the signal story, then hear it in the workspace.

TIMELINE MAP

Recorder Drift Timeline

Turn one long waveform into deliberate boundaries. The visual emphasizes the selection, transition and resulting edit so that timing decisions remain obvious before anything is rendered.

Before-and-after illustration of Audio Sync Drift Corrector: Primary and secondary becomes Synchronized secondary through Align offset and clock.
Primary and secondaryAlign offset and clockSynchronized secondary
A timeline edit: marked regions, handles and transitions resolve into clean finite segments without hiding where each boundary came from.
Open the full signal breakdownBest source, processing logic, limits and three-pass listening check
  1. Primary and secondary

    Start with the right material

    Camera audio, field recorders and long interviews where two devices begin at different times and gradually move out of sync because their clocks run at slightly different rates.

  2. Align offset and clock

    Understand the transformation

    Multiple bounded matching windows estimate local offsets; a confidence-weighted line resolves start offset and drift in parts per million before editable anchors drive interpolated time mapping.

  3. Synchronized secondary

    Verify the usable result

    Anchor timeline, offset and drift metrics, synchronized audition, corrected secondary WAV and CSV or JSON alignment map.

Anchor error

Where this workflow stops

Both recordings need enough shared, recognizable sound. Unrelated takes, long missing regions, nonlinear transport changes and severe noise can produce weak or incorrect matches that require manual anchors or a dedicated editor.

THREE-PASS CHECK

Make the final decision by ear

  • Zoom into every boundary and listen across it, not only inside it.
  • Leave intentional handles when another editor will continue the work.
  • Verify exact duration and ordering after the final render.
Two independent recordings
Load a camera, field recorder or phone capture as reference and a separate file whose clock needs alignment.
More than one clap
Several correlation windows reveal whether offset changes over time; a weighted line reports drift in ppm and milliseconds per minute.
Predictable delivery
Manual anchors and map overrides remain inspectable before an aligned WAV is written at the exact reference length and sample rate.

How to correct audio sync drift between two recordings

  1. Load the reference timeline and a separate drifting recording of the same event.
  2. Choose a correlation window, anchor count and possible starting-offset range, then find the sync map.
  3. Review anchor confidence, residual error and ppm; edit questionable offsets and refit or enter a manual map.
  4. Render the aligned secondary, compare the combined preview and overlapping Difference, then export WAV, CSV or JSON.

Offset alignment plus recorder-clock correction

A start offset answers where the second recorder begins. Clock drift answers why files that match near the start slowly separate later. AudioWrench samples multiple shared moments, fits a linear offset trend and resamples the secondary onto the reference clock. It does not assume one clap solves an hour-long recording.

Not Stereo Phase Aligner

Stereo Phase Aligner accepts one stereo file and applies one fixed inter-channel sample delay, polarity or channel repair. This tool accepts two separate recordings, estimates changing offset across their timelines and corrects a linear clock-rate mismatch. It does not perform frequency-dependent phase repair or treat two microphones as a stereo pair.

Limits of correlation-based sync

The recordings must share recognizable content. Different edits, long silence, automatic noise suppression, clipping, mostly steady tones, distant ambience or unrelated sources can create weak or false anchors. Linear drift cannot model dropouts, recorder pauses, variable-speed edits or clocks that change rate unpredictably; those need manual piecewise alignment in a DAW.

Privacy: both recordings are decoded, correlated, resampled and exported in this browser. They are not uploaded to AudioWrench.

Audio Sync Drift Corrector: quick answer and technical limits

Quick answer: A two-recorder alignment desk that estimates initial offset plus linear clock drift from repeated correlation anchors and renders the secondary recording onto the reference timeline.

Best for
Camera audio, field recorders and long interviews where two devices begin at different times and gradually move out of sync because their clocks run at slightly different rates.
How it works
Multiple bounded matching windows estimate local offsets; a confidence-weighted line resolves start offset and drift in parts per million before editable anchors drive interpolated time mapping.
What you get
Anchor timeline, offset and drift metrics, synchronized audition, corrected secondary WAV and CSV or JSON alignment map.

Know before you use it: Both recordings need enough shared, recognizable sound. Unrelated takes, long missing regions, nonlinear transport changes and severe noise can produce weak or incorrect matches that require manual anchors or a dedicated editor.

Privacy: Selected audio is processed in this browser and is not uploaded to AudioWrench. Normal page assets can still be requested as described in the privacy notice. Privacy details →

FAQ

How is this different from Stereo Phase Aligner?
Stereo Phase Aligner repairs one fixed inter-channel lag inside a single stereo file. Audio Sync Drift Corrector compares two separate recordings, matches several moments across time and corrects both their starting offset and a linear recorder-clock mismatch.
What recordings produce reliable anchors?
Both files need recognizable shared detail such as speech, music, claps or environmental events. Long silence, unrelated sources, heavy noise reduction, different edits or mostly steady tones can weaken or confuse correlation.
What do ppm and milliseconds per minute mean?
Parts per million describes the relative speed difference between recorder clocks. A value of 100 ppm accumulates about 6 milliseconds of timing difference per minute when the drift remains linear.
What length and sample rate does the export use?
The aligned WAV uses the reference recording sample rate and exact reference frame count. Samples outside the secondary recording overlap are silence, making the result predictable for video or DAW timelines.
Are either of my recordings uploaded?
No. Both files are decoded, correlated, resampled, previewed and exported in this browser on your device.

Related alignment and delivery tools

Stereo Phase AlignerAudio Difference CheckerAudio SplitterDJ Transition Maker