Audio recording conform

Some audio situations don’t give you a clean, trimmed take for every scene. A backup recorder running continuously. A mic taped inside a car door with its own recorder because you couldn’t run a cable to the cart. A safety rig in a location you couldn’t physically access once shooting started. In all of these cases, the recorder runs on its own schedule. It doesn’t know when the director calls action or cut. You get long, unstructured files that don’t align with your primary take structure.

And sometimes the problem is the opposite: your primary recorder missed something. A bug, a missed record button, a take that started before the main rig was rolling. You have audio from a secondary source, but no primary file to match against.

Wave Copilot‘s conform tool handles all of these situations using timecode.

Why timecode is the right tool for this

Every professional WAV file carries a timecode stamp in its bEXT metadata, the exact timecode at which that recording started. This value is written by the recorder at the moment of capture and doesn’t change. It’s precise to the sample.

This means two files recorded at the same time, your primary and your backup, both know exactly when they started, even if one is a 3-minute take and the other is a 45-minute continuous recording. Timecode is the common reference that lets you align them without waveform matching, without a DAW, and without listening through files manually.

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File-to-file conform

The most common use case: you have a folder of primary files and a folder of secondary recordings. You want one trimmed secondary file for each primary file, covering exactly the same timecode range.

This applies to backup recorders, but also to any recorder that ran independently of the main rig. A common example is car recording: you tape a mic inside the door panel or the dashboard, connect it to a small recorder hidden somewhere, and let it roll for the entire driving sequence,  because you have no way to reach it once the camera car is moving. That recorder might run for two hours. Your primary recorder has 15 trimmed takes from the same sequence. File-to-file conform extracts those 15 windows from the car recorder’s continuous file, one per take, trimmed to the exact TC range of each primary clip.

In Wave Copilot, you load both folders into the Conform tool. The app reads the timecode from every file in both sets, maps the primary TC ranges against the secondary recordings, and trims the secondaries to match. The output is a set of files with the same IN and OUT points as the corresponding primary file, one per primary, trimmed to the sample. The output filenames mirror the primary file names for easy identification.

This works whether your secondary source is one long continuous file, several long files, or a different take structure entirely. As long as the timecode was running correctly in both recorders, Wave Copilot finds the right audio.

Custom TC range conform

Sometimes there’s no primary file to match against. The primary recorder wasn’t rolling, a missed record button, a software bug, a take that started before the main rig caught up. In that situation, the secondary recording is the only source you have, and you need to extract a specific window of time from it: the TC range that the take would have covered if the primary had been running.

Custom TC range mode is built for exactly this. You specify an IN point and an OUT point manually, based on your script supervisor’s notes, your slate timecode, or whatever reference you have and Wave Copilot extracts that window from the secondary recordings. You get the audio that covers that range, trimmed cleanly, without having to load anything into a DAW.

It works for other scenarios too: extracting a specific interview block from a long continuous recording, pulling a scene’s worth of audio from a multi-hour safety rig file, or QCing a specific sequence. Any time you know the timecode range you need and don’t have a primary file to match against, this is the mode to use.

Wave Copilot goes through your selected files, finds any audio that overlaps with the specified window, and trims it to the range. Files outside the range are skipped. Files that partially overlap are trimmed to the overlap region only.

Replace Track

The first two modes are about trimming or extracting audio. Replace Track is different: it fixes a specific channel inside an existing primary polyphonic file.
The situation it’s designed for: you recorded on a multi-channel rig all day and one channel is unusable. A wireless receiver that was picking up interference. A lav that rubbed on every take. A dropout that repeated throughout the shoot. Your primary poly WAV files are otherwise perfect, right length, right timecode, right take structure, but channel 4 (or whichever channel the problem hit) is garbage. And your backup recorder captured the same source cleanly on one of its channels.

Replace Track reads both files, aligns them by timecode, extracts the clean audio from the specified backup channel, and writes it into the specified channel of the primary file. The output is a new poly WAV that’s identical to the original except the replaced channel. All other channels come from the primary untouched.

This is a non-destructive operation. The original primary file isn’t modified. The output goes to a folder you specify.

The alternative is pulling every affected primary file into a DAW, routing the backup channel to the right track, trimming to match, and exporting. For a full shooting day with dozens of takes, that’s an hour or more of mechanical work. Replace Track does it in batch.

Normalize to –1 dBFS

All three conform modes include a Normalize to –1 dBFS option. When enabled, Wave Copilot analyses each backup channel before extraction and calculates the gain needed to bring the peak level to –1 dBFS. That gain is applied to the output.

The main use case is 32-bit float recordings. Recorders that capture in 32-bit float, Zoom F-series, Sound Devices MixPre in float mode, can record at extremely conservative levels because float encoding has virtually no clipping ceiling. This is useful on set, but the resulting files often look nearly silent in a DAW waveform. An editor or assistant who receives them without context may think the files are empty.

Normalizing on the way out of the conform step means the files are already at a usable level when they land in post. No separate gain-staging step required.

The option works on any bit depth, 16-bit, 24-bit, or float, but it’s most valuable for float backup recordings.

What gets preserved

The output files are standard WAV files with all original metadata intact – bEXT, iXML, sample rate, bit depth. The timecode in the output file is updated to reflect the new start point. Nothing is re-encoded; the audio samples are copied without modification.

When to use this

  • You ran a continuous backup recorder all day and need per-take files to hand off alongside the primaries
  • Your belt pack recordings overlap multiple takes and need to be sliced into individual clips
  • You recorded a mic inside a car, a prop, or any location you couldn’t access during the shoot and the recorder ran continuously
  • Your primary recorder missed a take due to a bug or human error, the secondary is the only source and you need to extract the right TC window
  • You need to extract a specific TC range from a multi-hour recording for QC or review
  • Your secondary recorder cut in different places than your primary and the take structures don’t match
  • A specific channel in your primary poly WAV was unusable and the backup has a clean recording of the same source
    Your backup recordings were captured in 32-bit float at low levels and need gain-staging before handoff

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Conclusion

Conforming secondary recordings doesn’t have to be a manual editing job. Whether you’re dealing with backup files, continuously running placed mics, or recovery situations where the primary wasn’t rolling, if your files have accurate timecode metadata, Wave Copilot can align them automatically. Free 14-day trial available for Windows and macOS.